Solution Selection
& Validation.

How we investigate software and AI against your business requirements, then help you decide with the evidence and trade-offs in view.

Viewing

How the consultation helps you decide

Your business goalsUnderstand what you want to improve and why it matters.
Insights & trade-offsDiscuss useful approaches alongside cost, effort, adoption and ongoing responsibilities.
Your next stepUse the advice independently or explore assessment-led work with Rehash.

What we explore together

Rehash brings business and technology experience to the discussion, helping you connect a software or AI decision to a useful business result. We discuss the considerations relevant to your situation; the consultation gives direction to further investigation.

Business goals

Grow revenue: Improve lead response, follow-up or capacity to take on work.
Reduce costs & effort: Reduce manual processing, repeated work or overlapping software spend.
Improve service & reputation: Support clearer communication and better job information.
Reduce risk: Consider errors, operating disruption and dependence on providers.
Make better decisions: Identify where better information would change a business decision.

Insights & trade-offs

Financial commitment: Setup, subscriptions, your team’s time and ongoing support.
Implementation & disruption: Migration, connected systems and what must keep running.
People & adoption: Changed routines, training and the capacity to make the change work.
Reliability & control: Accuracy, maintenance, oversight and handling exceptions.
Future flexibility: Data access, vendor dependence and room to adapt later.

Relevance to Solution Selection & Validation

You may be choosing software, considering AI for a task or exploring how existing tools could work better together. We clarify the decision and business result, including what work people would retain.

A named product, AI use case or vendor proposal is useful context. Assessment investigates the underlying requirements; selection and validation then examines candidate fit against that foundation.

The consultation provides initial guidance. It does not replace a completed Systems Assessment or establish that a particular product will meet your requirements.

Three possible next steps

We discuss the route that fits your situation. Further work with Rehash is optional, and technology services use the completed assessment foundation.

Explore independently

Use the advice to research options or improve your current setup at your own pace.

Software Directory Learning & Free Resources

Start a Systems Assessment

Investigate the requirements, current systems and important unknowns before evaluating a solution.

Systems Assessments

Continue into Technology Services

With the assessment foundation complete, agree the evaluation or other service needed to carry the recommendation forward.

Selection & Validation Process

What carries into the assessment

The discussion gives the investigation a starting point. These inputs are context to examine, rather than validated assessment findings.

The decision & intended result: What you are considering and the improvement you want it to achieve.
The current position: Relevant systems, working methods, options already explored and existing provider discussions.
Constraints & questions: Known timing, budget or capacity considerations and the uncertainties that could affect the decision.

What to bring

Be ready to describe the problem or opportunity, your current approach and any options already under consideration. Relevant proposals or examples can help explain the situation; you do not need a completed requirements document to begin.

Do I have to commission an assessment after the consultation?

No. The consultation is a prerequisite if you proceed to an assessment, but it does not commit you to purchasing one. You can use the advice independently or decide on further work with Rehash.

How the assessment develops

The initial stage establishes direction and explains the further investigation needed. Workshops & Analysis develops the supported requirements and recommended approach that Selection & Validation uses.

From initial direction to a completed assessment

Initial stage

Initial Systems Assessment

Establish the starting pictureReview your goals, relevant systems and available context with your business lead.
Identify supported findingsMap the relevant systems and establish directional findings and initial requirements.
Explain the investigation aheadDefine the questions, useful result and scope of further work.

You can stop here. Keep and use the initial findings independently.

Further investigation · Separately agreed

Workshops & Analysis

Investigate consequential questionsWork with the relevant people, operating evidence and capability research.
Develop the recommended approachConnect requirements and options to the systems map and business case.
Review the completed findingsExplain the assessment report, its reasoning and any conditions still to resolve.

Completed assessment

Requirements & Recommended Approach · Scoped Systems Map · Opportunity & Business Case

Required foundation for Selection & Validation

One assessment purchased in stages. Completion is the result of the investigation. Scope and price are agreed before each purchased stage.

We focus on the processes and connections relevant to your goals. The assessment can identify better use of existing software, simpler working methods or new capabilities worth investigating.

What do I receive from the initial stage?

Initial Scoped Systems Map: A starting picture of how the relevant processes, tools and information connect.
Directional Findings & Initial Requirements: Supported observations, options worth considering and what the improvement needs to address.
Scope for Further Investigation: The questions needing deeper analysis, what that work would establish and the scope to agree before continuing.

Where focused assessments add depth

Focused assessments extend the Systems Assessment where the decision needs deeper investigation. They can be coordinated with completion or added later; the appropriate depth follows the requirements of your business.

Marketing & Lead ConversionRequirements for lead capture, follow-up and marketing information.

Rehash investigates where leads are lost, response and routing arrangements, follow-up work and the information needed to judge marketing performance.

Lead capture & speed to lead: Routing, coverage and how quickly suitable leads receive a useful response.
Follow-up & conversion: Tracking and automation that support follow-up with less manual administration.
Marketing feedback: Connecting spend, conversions and customer history to investment decisions.

Use in selection: Turn the findings into CRM, automation or relevant AI-task criteria, representative lead scenarios and questions about connections to operational systems.

Marketing & Lead Conversion Assessment

Operations EfficiencyRequirements for office workflows, field delivery and coordination.

Rehash investigates how software, AI and process changes could reduce avoidable cost, improve job delivery and make better use of your team’s time.

Back-office operations: Processing, repeated administration and opportunities to reduce errors.
Field operations: Job information, preparation and avoidable return visits.
Office-to-field coordination: Changes that improve work across both teams without shifting effort between them.

Use in selection: Establish operational scenarios, software usability and information needs, and relevant AI review or adoption requirements for the people doing the work.

Operations Efficiency Assessment

Executive Financial & OperationsRequirements for financial visibility, management information and reporting.

Rehash investigates which information your team needs to make decisions and what the underlying data and systems must support.

Financial visibility: What available data can reveal about job profitability, costs and cash flow.
Operational visibility: Measures connecting lead handling, job delivery and capacity to business results.
Reporting & analysis: Getting useful information to the appropriate people in time to act.

Use in selection: Define relevant data, accounting connection and reporting criteria, including information a candidate solution would need to provide.

Executive Financial & Operations Assessment

Completion and focused work can share investigation in a coordinated engagement. Shared analysis is not charged twice; additional scope is explained and agreed before work begins.

What carries into Selection & Validation

Rehash carries the assessment’s reasoning into the evaluation. Your team confirms current priorities and relevant changes; candidate-specific questions are then investigated through appropriate research, demonstrations and trial activities.

Completed assessment outputUse in Selection & Validation

Requirements &
Recommended Approach

The intended improvement, workflow requirements, relevant AI tasks and approaches worth considering.

Defines criteria and scenarios, including the business context and human responsibilities an AI task would require.

Scoped Systems Map

The relevant people, workflows, software, information and connections.

Identifies affected users, information flows and connections, including what an AI contribution would need to access.

Opportunity &
Business Case

The expected business value alongside cost, effort and uncertainty.

Grounds the comparison in business priorities, including preparation, ongoing review and material trade-offs.

Assessment establishes business requirements and direction. Selection & Validation examines how candidate solutions meet them.

Participation & responsibilities

Rehash: Leads the investigation, connects contributions and evidence, develops the findings and recommended approach, and explains the report and its implications for your decision.
Your team: Provides operating knowledge, relevant existing material and access to the appropriate people. Reviews findings, corrects the context and confirms business priorities.
Relevant providers: Clarify current capabilities, connections or constraints where their information is needed for the agreed investigation.

Scope & next step

The depth of investigation follows the decisions, workflows and information involved. Rehash explains the scope and fixed price before each purchased stage, with payment before that stage begins.

Can we stop after the initial assessment?

Yes. Keep and use the initial findings with your team or another provider. A completed assessment is required if you want Rehash to proceed with Selection & Validation or other technology services.

When is focused investigation needed?

Where a consequential question requires deeper analysis of marketing, operations or management information. Focused work is scoped around that need and can share investigation with assessment completion.

More crews, locations or tools do not automatically require more work. Materially different workflows, operating models or information structures may require additional investigation.

What happens if a requirement remains unresolved?

Rehash identifies the unanswered question and explains its effect on the recommendation. Business requirements needing further assessment are resolved or clearly qualified; candidate-specific questions carry into the agreed selection and validation work.

From assessment findings to an evaluation plan

Assessment foundation

Requirements & priorities
Workflows & connections
Business case & constraints

Develop the evaluation

Identify the conditions that matter. Frame representative work. Choose how to investigate.

Evaluation plan

Connect each criterion to work that reveals its fit and evidence that can support a finding.

CriteriaWhat needs to be established	ScenariosThe work and conditions to examine	Evidence approachHow to investigate
Operating fit	Representative tasks, users, inputs and consequential exceptions	Demonstrations or trials of workflow fit, task quality and review effort
Connected work	Information and responsibilities shared by people, software and AI	Documentation, vendor clarification and suitable checks
Practical viability	Adoption, human review, ongoing effort and conditions affecting use	Commercial details, operating discussion and observed effort

Supporting inputs: Existing proposals, vendor information and available demo or trial access inform what can be examined.

Illustrative plan structure. Rehash tailors the criteria, scenarios and investigation to your decision, priorities and agreed scope.

Define useful criteria

Rehash translates the requirements into conditions that can be examined. We distinguish essential requirements from preferences and identify limitations that could change the decision.

Criteria cover the workflow and its practical demands. For software, this can include usability and connections; for AI, task quality, business context, output variation and human review. Your priorities determine which conditions matter to the choice.

Choose representative scenarios

We select everyday work and consequential exceptions that show how the approach would be used. For an AI task, representative inputs and the result your team needs are part of the scenario. Your team helps identify the work, people and information to examine.

A useful scenario may cross roles or systems. It can reveal repeated entry, missing information, approval needs or the review and correction effort an AI task introduces.

Plan the evidence

We decide which questions need documentation, vendor clarification, a demonstration or an available trial. Software checks examine the supported workflow; AI checks examine task outputs and the review needed, with repeated attempts where useful and available. Relevant existing evaluation work is carried forward.

Where access or information is missing, Rehash explains how that limits the planned investigation and which questions need another way to resolve them.

A worked example: accepted quote to job

This example shows how one requirement becomes a scenario and evidence request. The actual evaluation follows your business requirements and agreed coverage.

Requirement: Reduce repeated entry and job-brief preparation while retaining the details the field team needs.
Criterion: Required details reach job management through a supported path. Any AI-drafted brief needs usable output and manageable human review.
Scenario: Accept a quote, create the job and examine a revision. If an AI-drafted job brief is being considered, use representative quote inputs and review the brief for accuracy, omissions and correction effort.
Evidence sought: Observe the transfer and clarify fields, direction and plan requirements. Where AI contributes, examine output quality and variation alongside the time needed to check and correct it. Trial activities depend on suitable access.

Rehash frames the checks. Your team supplies representative work and explains the required result. The vendor demonstrates its supported path and clarifies dependencies.

Participation & responsibilities

Rehash: Prepares the criteria, scenarios and investigation approach; reconciles existing proposals; identifies missing information and explains limitations.
Your team: Confirms priorities, contributes representative work and users, and reviews whether the proposed coverage reflects the decision.
Vendors & specialists: Clarify relevant capabilities, dependencies and available demonstration or trial access.

Agree the evaluation coverage

Before evaluation, we agree candidate coverage, selected scenarios, participation and available access. For an AI task, this includes relevant input material and who can judge and review the outputs. Missing inputs and their effect remain visible.

A preferred solution can be evaluated on its own. Comparing additional candidates is useful where it helps resolve the decision.

The next phase carries out the plan and records what the research, demonstrations and trial activities establish.

Investigate, explain and follow through

Research &
vendor clarification
Selected
demonstrations
Guided
trial activities

Client Workspace

Acme Field ServicesAC

Selection & Validation / Evidence

Evaluation findings

3 records

Requirement / question	Evidence reviewed	Rehash finding	Next action
Create a job from an accepted quote	Demo observedStandard workflow shown with selected quote details.	Supported in the demonstrated scenarioSelected details carried into the job. Revised quotes were outside this check.	Rehash: retain the observation and its coverage in the comparison.
Draft a useful job brief from quote information	Trial activityDraft briefs examined using selected quote inputs.	Human review remains necessaryKey details were omitted in some outputs. Review and correction effort need further assessment.	Your team: assess usable results. Rehash: examine variations and review effort before concluding fit.
Keep job details aligned after a quote revision	Vendor statementDemo observedAutomatic updating described; a manual step appeared in the demonstration.	Conflicting evidenceThe difference could affect repeat entry and operating effort.	Rehash: request clarification and a targeted check. Vendor: explain the supported revision path.

Open questions remain attached to their requirement and follow-up responsibility.

Rehash follows up

Identify the gap
Seek clarification or another check
Update the finding and decision conditions

Illustrative Navigator excerpt using example records. Findings show what was established, the limits of the evidence and who needs to act next.

How we carry out the evaluation

Research & clarification

Rehash reviews relevant capabilities, costs, dependencies and existing proposals. We follow up on consequential questions and conflicting answers, including connections needed for the decision.

Selected demonstrations

We join the agreed demonstrations, bring the discussion back to your operating scenarios and ask about exceptions, add-ons and conditions affecting the supported path.

Guided trials

Where suitable access is available, we help conduct or observe representative tasks. We examine software workflow fit and usability, and AI outputs across relevant inputs or attempts, including the checks and corrections needed to use them.

The activities follow the question and agreed coverage. Documentation, demonstrations and trials each provide evidence about particular capabilities and conditions.

What Rehash records and explains

Each finding stays connected to the requirement, the relevant source or activity, and what was stated or observed. We explain what the evidence supports, the conditions involved and any remaining uncertainty.

Evidence & context: The source, activity and relevant setup. For AI, this includes the task, inputs and configuration or model information available for interpreting the observation.
Finding & limitations: What the evidence establishes, where it falls short and why it matters. For AI, output variation and human review remain part of the finding.
Follow-up & ownership: The clarification or further check needed, the relevant participant and any condition carried into the recommendation.

A demonstrated workflow or useful AI output can provide evidence while leaving another condition unresolved. Rehash records the coverage and limits of the selected checks, and carries them into the comparison and decision review.

Gaps & conflicting evidence

When evidence is incomplete or inconsistent, Rehash identifies the specific disagreement and its consequence for the decision. We seek clarification, examine another source or agree a further check where appropriate. If the question remains unresolved, the finding retains that limitation and the recommendation reflects it.

Documentation and a vendor answer disagree

We compare the statements and relevant conditions, such as product plan, connection route or the inputs and setup used for an AI task. Rehash asks the vendor to explain the difference and seeks a targeted demonstration or other suitable evidence where needed.

The record keeps the discrepancy visible until it is resolved or qualified. An unexplained claim is not treated as a confirmed capability.

A trial or required access is unavailable

Rehash explains which questions cannot be examined directly and considers available documentation, vendor clarification or demonstrations. We record the source and its limitations.

If the missing evidence could change the choice, we explain the effect on the recommendation and agree whether further investigation is warranted.

An integration claim needs more investigation

Ordinary decision-critical integration checks belong in the evaluation. We investigate the relevant systems, required information, supported direction and connection conditions.

If a consequential claim needs technical work beyond the agreed evaluation scope, Rehash explains that work before it is commissioned. Full implementation, migration, custom integrations and AI proof-of-concept builds are separate work.

Participation & responsibilities

Rehash: Investigates the agreed questions, reconciles evidence, maintains the findings and follows up on material gaps. Explains conclusions, limitations and consequences for the decision.
Your team: Contributes representative work, users and operating feedback. Helps arrange authorized access and reviews whether observed results meet the intended business need.
Vendors & specialists: Provide relevant demonstrations, answers and technical clarification. Confirm dependencies, supported arrangements and limitations affecting their offering.

Carry findings into the comparison

The findings inform the comparison of fit, cost and trade-offs. Software limitations, AI output quality and review effort, and conditions affecting a combined workflow carry forward with their supporting evidence.

Fit, Cost & Trade-off Comparison

Material differences, their evidence and what they mean for the business.

Decision area	Preferred approach	Credible alternative	Current approach
Business fit & expected value	ObservedStandard quote-to-job transfer shown. AI-drafted briefs need review.	Vendor statedQuoting supported; transfer into job management needs clarification.	Existing quoting works, with repeated entry when creating the job.
Initial cost & transition effort	EstimatedData and AI context preparation, connection setup and staff training to scope.	EstimatedA smaller workflow change; connection work remains uncertain.	Retaining the setup avoids migration. Process improvements still require staff time.
Ongoing cost & operating effort	Vendor quotedBase subscription identified; connection add-on and AI usage costs unconfirmed.	Vendor quotedSubscription identified; manual transfer effort to assess.	Existing software spend and repeated administration remain relevant costs.
People & adoption	EstimatedChanged quote-to-job routine, AI brief review and exception handling need preparation.	EstimatedFamiliar workflow, with a transfer step that may remain manual.	Familiar routines; operating improvements still need ownership.
Conditions & uncertainty	UnconfirmedRevision handling, AI correction effort and connection requirements could change fit and value.	UnconfirmedConfirm the supported transfer route and its recurring effort.	Establish whether better use of existing capabilities can meet the requirement.

Rehash explains the consequential differences

The preferred approach offers less repeat entry, with preparation and revision conditions still to resolve. An AI-drafted brief may reduce preparation work but adds review and correction effort. Rehash weighs that combined effort against the alternatives and current process.

Illustrative comparison using example findings. Actual options, costs, evidence and coverage follow the agreed evaluation; expected value remains distinct from results achieved in use.

The full cost of making it work

Rehash considers the investment and operating demands relevant to the decision. We distinguish confirmed prices, estimates and unanswered commercial questions, using available evidence rather than treating the subscription as the full cost.

Getting established

Setup & configuration: Product setup, required add-ons, AI configuration and evaluation where relevant.
Information & connections: Moving data, preparing useful business context and establishing required connections.
People & transition: Staff preparation, training, changed routines and disruption to ongoing work.

Keeping it useful

Subscriptions & usage: Plans, add-ons, transaction or usage charges relevant to the intended operation.
Support & maintenance: The work and providers needed to sustain software, connections and relevant AI context or configurations.
Recurring operating effort: Routine processing, exception handling and relevant AI review or correction.

Where an amount or effort estimate depends on a plan, usage assumption or delivery arrangement, that condition stays attached to the comparison.

Adoption effort & operating benefit

A capability creates value when your team can use it effectively. Rehash considers whose work changes and who maintains the approach. For AI, the comparison includes the judgment, checking and correction people retain, alongside the work the capability could reduce.

The comparison connects those demands to the expected benefit and your capacity to make the change. Time saved, lower spending and additional usable capacity are different possible results; the evidence and business situation determine what can reasonably be expected.

Example: less data entry can introduce other work

A connection may reduce repeated entry while revised quotes still need attention. AI may help draft a job brief, but someone must check consequential details and correct omissions. Setup, preparation, ongoing review and upkeep all affect the expected saving.

Rehash compares the supported transfer and remaining responsibilities with the current process. The finding explains both the potential saving and what your team or providers would need to own.

Keep unresolved conditions visible

Rehash identifies which option an unresolved condition affects, why it matters and what would resolve it. A material gap can affect software capability, AI output quality, cost, review demands or the feasibility of the combined approach.

These conditions remain visible in the comparison and carry into the recommendation. We explain where a different answer could change the conclusion.

Example: an unconfirmed connection or add-on

A connection may appear suitable, but the required fields, supported direction or product plan still need confirmation. That uncertainty affects both operating fit and the cost of making the option work.

Rehash carries the open question and follow-up responsibility into the comparison, identifies the implications of different answers and explains what needs resolving before a commitment can be supported.

Participation & responsibilities

Rehash: Organizes the findings, identifies material differences and explains how fit, expected value, costs, effort and uncertainty affect the choice.
Your team: Confirms priorities, practical capacity and acceptable trade-offs. Supplies relevant operating costs or effort information and reviews the implications.
Vendors & specialists: Clarify commercial terms, relevant plan requirements, delivery dependencies and responsibilities associated with their offering.

Compare what is useful for the decision

A preferred solution can be evaluated on its own, against your requirements and the relevant current approach. Credible alternatives can include another product, better use of existing tools or retaining the current setup.

How do priorities affect the comparison?

Your business requirements determine which differences matter most. Rehash explains where one approach improves an area while adding cost, work or constraints elsewhere, and how uncertainty affects that assessment.

The depth of comparison follows the decision and agreed scope. Additional candidates or features are included where they help answer the relevant questions.

The comparison provides the basis for an explained recommendation. It may support purchasing a solution, improving existing tools or retaining the current approach.

Recommendation & Decision Brief

Rehash recommends

A direction, with its reasoning

Business fit: How software supports the workflow and where any AI contribution is useful, based on the evaluation findings.
Value & trade-offs: Why the potential benefit justifies the cost, effort and practical demands in your situation.
Credible alternatives: Other viable approaches and the differences behind the recommendation.

Conditions before commitment

Include the unresolved matters that affect the choice.

What remains open?: A capability, AI quality or review requirement, cost or dependency still needing evidence.
Why does it matter?: How a different answer could change suitability or the recommended direction.
What resolves it?: The clarification or check needed, with the responsible party identified.

Your decision-makers choose the next step

Review the recommendation and remaining conditions, then record the position reached and next actions.

Proceed on the agreed basis
Seek more evidence or defer
Improve existing tools
Retain the current approach

Your team authorizes spending and any further work.

Structure of the decision brief and review. Relevant conditions remain attached to the recommendation and the client’s chosen direction.

Explain the recommended direction

Rehash connects the recommendation to requirements and evidence, explaining why the approach fits your priorities and its trade-offs. Where AI is recommended, we define the task it should support and the human responsibilities that remain. Uncertainty that could change the conclusion stays explicit.

Credible alternatives remain part of the explanation, including why they were not preferred. The recommendation can support software, AI or a combined approach, better use of existing tools, or a simpler process change.

Review the decision together

Rehash walks through the findings, comparison and recommendation with your decision-makers. We explain the reasoning, answer questions and examine how remaining conditions affect the choice.

Your team can challenge assumptions, clarify priorities and consider the practical commitment involved. The discussion keeps business fit, costs, adoption demands and unresolved conditions connected to the decision.

If the available evidence cannot support a firm recommendation, Rehash explains what further investigation is needed and the effect of proceeding with the uncertainty still open.

How conditional recommendations work

A recommendation can depend on a consequential question still being resolved: a software connection, suitable AI input information, acceptable output quality or manageable human review. Rehash explains the condition, its implication and the next useful check.

Example: suitability depends on a required connection

The preferred approach appears suitable for the agreed workflow, subject to confirmation of its required connection. If it includes an AI-drafted job brief, usable output and review effort also need support from the evaluation evidence. Open conditions remain attached to the recommendation.

Open question: Can the required information move through the supported connection, and can AI briefs retain key details with manageable review?
Decision consequence: An unsupported transfer, omitted details, additional cost or excessive correction effort could change suitability and expected value.
Next action & owner: The vendor confirms the connection and dependencies. Your team reviews representative AI outputs with Rehash; Rehash examines variation and correction effort and explains the effect on the recommendation.
Client decision: Your decision-makers review the connection evidence and AI findings before authorizing the next commitment.

Participation & responsibilities

Rehash: Leads the decision review, recommends a direction and explains the evidence, trade-offs, alternatives and remaining conditions. Records the position reached and agreed follow-up.
Your team: Reviews the recommendation, confirms business priorities and makes the decision. Authorizes spending and any further work through the appropriate decision-makers.
Vendors & specialists: Clarify their own commercial terms, technical dependencies and delivery commitments where required.

Record the decision and next actions

The decision record keeps the position reached and its basis understandable for the people taking the work forward.

Position reached: The client’s chosen direction, including a decision to defer or obtain more evidence.
Basis for the decision: The findings, recommendation and material trade-offs informing that position.
Remaining conditions: Questions affecting commitment, including software dependencies or AI context, output quality and human-review conditions.
Next actions: Agreed follow-up, responsibilities and any further work that needs separate agreement.

The decision package can be used with your own team, chosen providers or Rehash. If implementation planning is the next step, the findings, decision rationale and unresolved conditions carry forward together.

What does the evaluation conclusion cover?

The conclusion follows the agreed evaluation and available evidence. Rehash explains the software workflows, AI tasks and inputs examined, and the limits of those observations. Subsequent implementation, AI development and results in use have their own responsibilities and checks.

From the chosen direction to coordinated work

Selection establishes

Your decision package

Fit findings & limitations
Cost & adoption implications
Decision rationale & open conditions

Planning develops

Implementation Planning & Readiness

Work, dependencies & responsibilities
Preparation & readiness requirements
Acceptance & operating ownership arrangements

Management maintains · Separately commissioned

Implementation Project Management

Progress & provider commitments
Issues, changes & decisions
Readiness, transition & remaining actions

Planning can stand alone. Your team and providers can carry the reviewed plan into execution. Rehash Project Management is an optional next engagement.

Selection findings inform the implementation scope. Planning reconciles provider plans and commitments; management coordinates the responsibilities commissioned for delivery.

What carries into implementation planning

Rehash connects the selected approach to the work it requires. Relevant evaluation findings are carried forward and reconciled with current provider plans, commitments and changes since the decision.

Selection inputUse in implementation planning

Validated fit & limitations

What the software workflows and relevant AI tasks demonstrated, including limits, input needs and human review.

Informs the work, information preparation, review responsibilities and business-use checks the plan needs to address.

Cost & adoption implications

Expected investment, staff effort, changed routines and software or AI operating responsibilities.

Informs resources, staff preparation and transition arrangements.

Vendor confirmations & dependencies

Relevant capabilities, commercial conditions and provider commitments.

Informs assigned responsibilities, connected work and commitments needing confirmation.

Decision rationale & remaining conditions

The business reason for the software, AI or combined choice and unresolved questions affecting it.

Keeps the plan connected to the intended result and identifies conditions to resolve.

Value of combining the services

Combining the services gives Rehash continuity from the evaluation into planning. We reuse relevant findings, reconcile them with current provider plans and make unresolved conditions explicit, helping the implementation team understand both the chosen direction and the reasons behind it.

Limitations and adoption demands identified during selection become planning inputs. The work can remain connected to the business outcome without requiring the next team to reconstruct the reasoning from separate discussions.

Each service has its own agreed scope and responsibilities. The evaluation findings inform implementation planning; detailed delivery arrangements and commitments are established for that work.

Choose the implementation support required

Implementation Planning & Readiness

Rehash develops the coordinated work plan, dependencies, responsibilities and preparation requirements. The plan establishes how readiness, intended business use and operating ownership will be addressed.

Your team and providers can use the reviewed package to carry the work forward independently.

Implementation Project Management

Rehash coordinates the commissioned work through readiness and transition, maintaining the workplan, provider commitments, material issues and decisions.

Project Management is a separate service, normally following planning. The relevant providers retain their assigned delivery responsibilities.

You can also use the selection decision package with your own team or chosen providers. Further Rehash support is agreed around the work you need.

When would integration or AI implementation be needed?

Where the chosen direction requires a connection or AI capability to be built, the relevant technical service is scoped separately. Selection carries forward the intended role, findings and limits; design, build, training and validation follow the commissioned technical service.

Systems Integration Service AI Systems Implementation Service

See the engagement at a glance

The overview brings the agreed scope, current findings and next contributions together, so your team can see where the evaluation stands.

Client Workspace

Acme Field ServicesAC

Engagement overview

Solution Selection & Validation

Decision review preparation

Quoting workflow evaluation

Evaluate quote-to-job transfer and whether an AI-drafted job brief would help the team.

Foundation: Completed Systems Assessment
Coverage: Preferred approach · transfer and AI brief scenarios
Participants: Business decision-maker · quoting user · vendor contact

Working record

Evaluation planRequirements, scenarios and planned evidence Findings & conditionsTransfer observed; revisions and AI review effort open Fit & trade-offsRepeat entry, AI review and connection costs Recommendation & decisionConditional recommendation ready for review

Needs attention

Revised quote handling: Vendor to explain the difference between the stated update and the demonstrated manual step.
Connection plan & cost: Confirm the required product plan and any add-on before the comparison is finalized.

Next review

Review connection clarification and AI output observations against suitability, cost and review effort. Your decision-makers consider the remaining conditions before authorizing a commitment.

Illustrative Navigator engagement overview. The example connects scope, records, outstanding contributions and the next review.

Follow the reasoning through the records

The same requirement stays connected as it becomes a scenario, produces findings and informs a recommendation. Explore the record views below.

Client Workspace

Acme Field ServicesAC

Evaluation plan

Accepted quote to job

Requirement: Reduce repeated entry and job-brief preparation while retaining the details the field team needs.
Criterion: Required details reach job management through a supported path. Any AI-drafted brief needs usable output and manageable human review.
Scenario: Accept a quote, create the job and examine a revision. Use representative quote inputs to examine an AI-drafted brief where considered.
Evidence approach: Observe the workflow and clarify fields, direction and plan requirements. Examine AI output quality, variation and correction effort.

Rehash contribution

Connect the assessment requirement to representative work and targeted questions.

Findings & conditions

Transfer shown; revisions and AI review open

Quote transfer & revisionsDemo observedVendor statement

Selected details reached the job in the standard scenario. Automatic revision updates were described, but the demonstration included a manual step.

Vendor: clarify the revision path · Rehash: review the response

AI-drafted job briefTrial activity

Some outputs omitted key details. Usable results and the time needed to review and correct briefs remain to assess.

Your team: review outputs · Rehash: examine quality and correction effort

Condition to carry forward

Confirm the revision path and connection plan. Review AI brief omissions and correction effort before relying on a net time saving.

Fit & trade-offs

Less repeat entry, with conditions to resolve

Expected benefit: The standard transfer offers less repeat entry. An AI-drafted brief may reduce preparation work, subject to review effort.
Operating effort: Revision checks, AI brief review and manual corrections may remain. Your team needs clear responsibilities.
Cost & preparation: Connection setup, AI context and staff preparation need scoping. Add-on and AI usage costs remain to clarify.
Current approach: Familiar quoting routines, with repeated entry when creating the job.

Rehash interpretation

Revision handling and AI review effort could change operating fit and the value of the proposed improvement.

Recommendation & decision

Separate the recommendation from the commitment

Rehash recommendation: Preferred approach, subject to revision handling, connection requirements and usable AI briefs with manageable review.
Remaining condition: Establish the supported path, AI output quality, recurring review effort and relevant costs.
Client position: Defer commitment until the connection clarification and AI trial findings have been reviewed.
Next actions: Vendor clarifies the connection. Your team reviews AI outputs with Rehash. Rehash explains the combined findings before your decision-makers authorize the next step.

Carry the basis forward

Any implementation planning uses the findings, decision rationale and remaining conditions.

Illustrative connected record walkthrough. One example requirement is followed across the plan, evidence, comparison and client decision.

Keep the evaluation understandable

Keep the reasoning connected

Trace the recommendation back to the requirements, evidence and material trade-offs. Findings retain the conditions that limit what can be concluded.

Make participation clear

Distinguish Rehash’s investigation and interpretation, vendor clarification and the decisions your team needs to make.

Carry the position forward

Preserve findings, limitations and next actions for your own team, chosen providers or subsequent implementation planning.

Participation & working arrangements

Rehash: Organizes and explains the engagement records, maintains the agreed actions and keeps material uncertainty visible.
Your team: Reviews findings, supplies relevant operating context and makes the business decisions.
Vendors & specialists: Contribute the clarifications and evidence needed for their part of the evaluation.

How do access and contributions work?

We agree how your team and providers contribute information, where decisions are recorded and who maintains each record. Workspace access and participation arrangements follow the engagement and the responsibilities involved.

Return to the previous topic

Three connected outputs, one decision package

The package applies to software, AI or a combined approach. Its depth follows the decision and agreed evaluation coverage.

Candidate Fit & Validation Findings

What was investigated, the supporting evidence, fit against requirements and remaining limitations.

Use it to: Understand what each conclusion is based on and which conditions still affect fit.

Evidence, Demos & Trials

Software

Workflow fit, usability, information, connections, product-plan requirements and limitations.

AI

Suitability for the selected task, business context needed, observed output quality and variability, human review and correction effort.

Combined approach

How the software, AI contribution and people work together, including information moving between them and exceptions needing attention.

Cost, Value & Trade-off Comparison

Expected benefits, costs, adoption demands, operating effort and uncertainty across the relevant approaches.

Use it to: Weigh the practical implications of the options against business priorities and capacity.

Fit, Costs & Trade-offs

Software

Subscriptions, add-ons, migration, implementation, training and maintenance.

AI

Access and usage costs, context preparation, configuration, evaluation, training, human oversight and ongoing upkeep.

Combined approach

Costs and effort across the connected workflow, including review, exception handling and the responsibilities introduced alongside the potential saving.

Recommendation & Decision Brief

The recommended direction, reasoning, credible alternatives, remaining conditions and the position reached.

Use it to: Make the decision and carry its basis into the next step with your team or providers.

Recommendation & Decision

Software

Whether to purchase, improve existing tools or retain the current approach, with relevant conditions.

AI

Whether and where AI is appropriate, the role it should perform, necessary human involvement and conditions before further work.

Combined approach

Which parts of the workflow belong with software, AI and people, and which dependencies need resolving before the approach can proceed.

Review the work, explain the position, define what follows

Agreed evaluation scopeReconcile the activities and coverage with the work performed.
Reviewed decision packageExplain the findings, recommendation, evidence and limitations.
Conditions & next actionsRecord the position reached, responsibilities and further work to agree.

Open condition about a solution

A finding or recommendation may remain conditional. Record the consequence, the evidence needed and who owns the next action.

Unfinished agreed evaluation work

Identify the outstanding activity and resolve how it will be completed or otherwise agreed before closing the engagement.

The completion review distinguishes a limit in the available evidence from work still owed under the agreed evaluation scope.

How completion is reviewed

Rehash reviews the package with your decision-makers, explains what the evaluation established and checks that remaining uncertainty is understood. We make the agreed coverage, position reached and next actions explicit.

Your team can ask questions, correct relevant context and confirm its chosen direction, including a decision to defer. Purchasing software, adopting AI or commissioning implementation is a separate choice.

Software conclusions relate to the workflows and conditions examined. AI conclusions relate to the selected tasks, inputs and observed outputs, including the human review needed. For a combined approach, we explain what was established about the connections and working arrangements as well as the individual tools.

Keep remaining conditions actionable

Conditions can concern a software connection or add-on, suitable business information for AI, acceptable output quality or manageable review effort. The record explains how the uncertainty affects the decision and what would resolve it.

Condition: The unanswered question or dependency and the part of the proposed approach it affects.
Consequence: The effect on suitability, cost, operating effort or the basis for commitment.
Action & owner: The clarification, evidence or further check needed and who contributes to resolving it.
Scope: Whether the follow-up is included in the agreed work or needs further agreement.

A remaining condition stays attached to the recommendation. Recording it does not complete an unfinished activity that Rehash was commissioned to carry out.

Participation & responsibilities

Rehash: Completes the agreed evaluation, explains the decision package and reconciles outstanding work, limitations and follow-up responsibilities.
Your team: Reviews the package, corrects relevant context, confirms the decision position and authorizes any further commitment.
Vendors & specialists: Clarify their own product statements, commercial terms and delivery commitments, and provide the agreed contributions to open questions.

Use the package for your next step

The package remains usable with your own team, chosen providers or Rehash. Relevant findings, decisions and open conditions can carry into separately agreed implementation planning.

What does completion establish about future results?

Completion establishes the scoped evaluation and explained decision package. The findings describe what was examined and the limits of that evidence. Later software implementation, AI development, adoption and results in use depend on their own work and operating conditions.

How are follow-up and additional work handled?

Rehash identifies what remains within the agreed evaluation and what needs a separate scope. Where additional investigation, technical work or continuing support is useful, we explain its purpose and agree that work before it is commissioned.

Solution Selection & Validation.

What we explore together

Business goals

Insights & trade-offs

Relevance to Solution Selection & Validation

Three possible next steps

Explore independently

Start a Systems Assessment

Continue into Technology Services

What carries into the assessment

What to bring

How the assessment develops

Initial Systems Assessment

Workshops & Analysis

Where focused assessments add depth

What carries into Selection & Validation

Participation & responsibilities

Scope & next step

From assessment findings to an evaluation plan

Define useful criteria

Choose representative scenarios

Plan the evidence

Participation & responsibilities

Agree the evaluation coverage

Investigate, explain and follow through

Evaluation findings

How we carry out the evaluation

Research & clarification

Selected demonstrations

Guided trials

What Rehash records and explains

Gaps & conflicting evidence

Participation & responsibilities

Carry findings into the comparison

The full cost of making it work

Getting established

Keeping it useful

Adoption effort & operating benefit

Keep unresolved conditions visible

Participation & responsibilities

Compare what is useful for the decision

A direction, with its reasoning

Conditions before commitment

Explain the recommended direction

Review the decision together

How conditional recommendations work

Participation & responsibilities

Record the decision and next actions

Your decision package

Implementation Planning & Readiness

Implementation Project Management

What carries into implementation planning

Value of combining the services

Choose the implementation support required

Implementation Planning & Readiness

Implementation Project Management

See the engagement at a glance

Solution Selection & Validation

Working record

Needs attention

Follow the reasoning through the records

Accepted quote to job

Transfer shown; revisions and AI review open

Less repeat entry, with conditions to resolve

Separate the recommendation from the commitment

Keep the evaluation understandable

Keep the reasoning connected

Make participation clear

Carry the position forward

Participation & working arrangements

Three connected outputs, one decision package

Software

AI

Combined approach

Software

AI

Combined approach

Software

AI

Combined approach

Solution Selection
& Validation.