AI thesis
Board-presentable one-pager, prioritized by business value.
Scorecards
One diagnostic surface for the next AI move.
Value, Strategy, Transformation, Fluency, and Governance diagnostics live together here, so the route is one read instead of duplicate assessment and scorecard pages.
Interactive instruments
The data assets are the page.
The scorecards restore five dimension banks, scored answer options, scoring bands, governance override logic, and the 24 FAQ answers that were flattened out.
Bands: 20+ strong · 12-19 mid · below 12 early
Value scorecard
Formerly Strategy. Scores whether the AI thesis, investment case, and vendor choices can survive a board or CFO read.
Composite0/25
Incomplete
Route: Quick Audit
Email gate at result
Build-vs-buy
Applied to the top use cases with documented rationale.
ROI model
Source-cited arithmetic, not productivity uplift.
Governance baseline
Policy, controls, and owner in place before tools land.
Vendor shortlist
Per-vendor evaluation against preset criteria.
Pick the diagnostic
Value, Strategy, Transformation, Fluency, or Governance. Each answers a different operating question.
Score every dimension
The composite is useful only when each underlying answer is visible and defensible.
Route the next move
Strong value gaps route to Discovery Call. Weak evidence or sequencing routes to Quick Audit.
We need to know what is already runningQuick AuditFind tools, embedded AI, owners, shadow AI, MCP paths, and evidence gaps.
We know the workflow that should move the numberDiscovery CallScope the transformation or engineering workstream and the eval harness it needs.
We have production AI but cannot prove behaviorEvalsSet baselines, drift checks, release gates, and output-quality evidence.
Compliance or customers are asking for proofGovernanceMap trace data into framework packs, exception logs, and owner-ready evidence.
Why five diagnostics, not one composite?
One composite hides sequencing. Value, Strategy, Transformation, Fluency, and Governance answer different questions. Strategy only works when thesis and workforce fluency rise together. The scorecard keeps those signals separate before it routes the next workstream.
01 · How long does the Value Scorecard take?
About 8 minutes. Five dimensions score 1 to 5 each, with a composite out of 25 and a routed next step.
02 · What do I get after the scorecard?
A dimension read, composite band, drill-down recommendations, and a next move toward a Discovery Call, Quick Audit, or deeper assessment.
03 · Who is the Value Scorecard for?
CEOs, board sponsors, Heads of AI, CIOs, CFOs, and operators deciding where AI should get funded.
04 · What is a top-quartile score?
Composite 20 or higher out of 25, with no single dimension below 3.
05 · Can I retake the scorecard?
Yes. Retake quarterly when the AI thesis, vendor shortlist, ROI model, or evidence baseline changes.
06 · How does Value differ from Strategy?
Value scores where to bet. Strategy scores whether the operating state and workforce fluency can carry the bet.
07 · What is AI transformation?
Transformation means the workflow output changed: revenue, margin, cycle time, or quality. Activity alone can be motion without outcome.
08 · What is low-signal AI activity?
AI usage with no measurable workflow delta: logins, demos, or surveys that do not change the work.
09 · Outcome KPIs vs surveys: why does it matter?
Surveys measure perception. Outcome KPIs measure whether the work changed.
10 · Does transformation apply across company sizes?
Yes. The unit changes from company to business unit or portfolio company, but the dimensions stay constant.
11 · What is the scoring rubric?
Five dimensions, each scored 1 to 5. Strong is 20 or higher, mid is 12 to 19, early is below 12.
12 · How does transformation route into engagements?
Strong scores route to a transformation workstream. Mid scores often need a Quick Audit. Early scores need adoption sequencing first.
13 · How is Strategy different?
Strategy uses a Strategy x Fluency quadrant plus four diagnostic questions: Value, Transformation, Fluency, Governance.
14 · Why Strategy x Fluency?
The pattern kept explaining real AI outcomes: clarity of the AI thesis and fluency of the workforce.
15 · What does each strategy quadrant mean?
Pre-AI, Tools Without Thesis, Slideware Strategy, and Integrated Strategy.
16 · What does the Governance question modify?
Weak governance adds the Governance door unless the organization is too early for assurance to stick.
17 · Is this for one company or a portfolio?
The web diagnostic is single-organization. Portfolio views aggregate after multiple company reads.
18 · How long does Strategy take?
About 8 minutes, with an email gate at result and a routed next step.
19 · What is continuous-evidence readiness?
Evidence is timestamped, sourced, and versioned from production AI operation, not assembled at audit time.
20 · What is sequencing posture?
Whether governance work is ordered correctly relative to adoption, transformation, and fluency.
21 · Why does governance often come after adoption?
Because control work needs something real in production to govern. Otherwise it becomes shelfware.
22 · What ISO 42001 cadence is appropriate?
Periodic certification for the management system, continuous evidence for behavior in production.
23 · How does this map to SR 11-7?
Ongoing performance monitoring, validation, and remediation map cleanly to continuous evals for non-deterministic AI.
24 · What are the five Governance dimensions?
Continuous evidence pipeline, framework coverage, incident readiness, taxonomy clarity, and sequencing posture.
Value
Where is AI changing throughput, revenue quality, decision speed, and strategic leverage? Rank the work that should get funded first.
1
Transformation
Can the workflow produce measurable operating lift? Cycle time, margin, revenue quality, and telemetry readiness.
2
Fluency
Are people getting better at work with AI? Role capability, review discipline, usage depth, and manager validation.
3
Governance
Is control evidence fresh enough to defend? Policy coverage, exception handling, traceability, and framework readiness.
4
EvalsOpen evalsEditable outputsOpen editable outputsGovernanceOpen governanceOperating read
Measure production behavior before the output becomes the record.
prod outputFP&A variance explanationsource lineage attached
01trace02baseline03review04gate
release95% stated / ~90% measured
Turn one evidence register into memos, maps, packs, and board updates.
Evidence registerfresh
SourceFP&A warehouselinked
OwnerFinance productassigned
Riskcustomer-visible outputreview
Decisionrelease approved95%
Evidence90+ regression scenariosattached
Connect every AI source to policy evidence, ownership, and exception handling.
CopilotChatGPTembedded SaaS AIinternal agentsproduction tracespoliciesworkflow evidence
See value, risk, fluency, and control signals in one decision-ready view.
Open operating read
Trustable, reliable AI in production
Start with the AI work that moves the number. Keep the proof built in.
Start with Strategy, Transformation, or Fluency; use Quick Audit when the first need is an independent read on what is already running.