score_initiative
Read-onlyIdempotent
Score one AI initiative deterministically from known industry, revenue, function, tier and readiness, returning Accelerate, Fix or Stop with modelled EUR benefit ranges and audit trail.
Instructions
Canonical-field scorer for one AI initiative. CALL THIS when industry, revenue_eur, function, ai_tier and readiness are already known, or when re-scoring with measured pillar evidence. For a proposal written in ordinary business language, call assess_ai_initiative first; it resolves these fields and asks for anything missing. Pillar scores remain optional: missing pillars are estimated deterministically, reported through pillar_basis, and reduce decision score, while a fully estimated pass can never return Accelerate. Returns Accelerate, Fix or Stop, modelled gross and readiness-adjusted EUR benefit ranges, decision score, sensitivity, assumptions and an audit trail. Use score_portfolio for several initiatives and diagnose_process for measured waste in an existing process. Deterministic calculation with no authentication. Anonymous usage telemetry may be sent; set AIBVF_TELEMETRY_DISABLE=1 to opt out.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| scores | No | OPTIONAL, and each pillar inside it is optional. The four AI BVF pillars, each an honest 0–100 self-assessment, combining deterministically into the verdict: governance_risk ≥ 70 OR financial_return ≤ 20 returns Stop; strategic_alignment, financial_return and change_enablement all ≥ 60 with governance_risk ≤ 40 returns Accelerate; everything else returns Fix. Pass ONLY the pillars the user has real evidence for — do NOT invent numbers for the rest. Missing pillars are estimated deterministically by the engine from disclosed AI BVF planning assumptions, the response reports which via pillar_basis and scores_used, decision score is haircut by how much was estimated, and a fully-estimated pass can never return Accelerate (it returns Fix pending confirmation). So call immediately with whatever the user gave you, then ask for evidence on the estimated pillars and re-call to firm the verdict up. | |
| ai_tier | Yes | Ambition of the AI being deployed: gen1 = automation/RPA, gen2 = GenAI, gen3 = agentic. Interacts with readiness — a more ambitious tier running on lower readiness widens the pace-layer gap, which discounts the modelled EUR value even when the four pillar scores are strong. | |
| function | Yes | Business function where the AI will operate, as one of the accepted enum values — selects which benchmark value drivers and rate ranges apply. Call list_taxonomy for the exact strings if unsure. | |
| industry | Yes | Your industry, as one of the accepted enum values — used to select the benchmark rate multiplier applied to the modelled EUR value. Call list_taxonomy for the exact strings if unsure. | |
| readiness | Yes | Organisational readiness, honest self-assessment: agile = cross-functional, fast decisions; traditional = functional hierarchy; siloed = rigid, hand-off heavy. Sets the value-capture rate and, paired with ai_tier, the pace-layer drag — lower readiness against a higher tier reduces the captured value. Self-report is gameable: when the user has real process numbers, call infer_readiness first and pass its measured classification here instead. | |
| revenue_eur | Yes | Approximate annual revenue in EUR (must be ≥ 0). Scales the whole output: the disclosed AI BVF planning rates are applied as fractions of this figure, so the modelled EUR value range grows with it. A rough order-of-magnitude estimate is fine. | |
| work_architecture | No | Evidence that workflows, roles, decision rights and measures are ready. Pass only what is known. Explicit gaps and omitted checks block Accelerate until all four checks are evidenced. | |
| signal_completeness | No | Optional 0 to 1 input-quality factor. The default ranges from 0.5 when all pillars are estimated to 1 when all are supplied. Supplied values still require evidence review. Lower this factor when the supplied pillars rest on weak evidence. |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| audit | No | Reproducibility record: engine version, the rules that fired, and the resolved inputs. Deterministic, no timestamps. If the verdict is challenged months later, the same inputs on the same engine version reproduce it exactly. | |
| caveat | No | Present only when signal_completeness was low: warns the verdict rests on soft inputs and confidence was reduced. | |
| reason | Yes | One-line justification for the classification. | |
| drivers | Yes | Named value drivers behind the estimate. | |
| feedback | No | Optional three-question feedback route, present only for Fix/Stop verdicts. The page records the response anonymously only when the user chooses an answer; no assessment data is attached. | |
| bvf_version | Yes | AI BVF protocol version used. | |
| multipliers | Yes | Factors applied to the base rates. | |
| scores_used | No | The four pillar values the verdict was actually computed on, whether given by the caller or estimated by the engine. Show these to the user when any pillar was estimated. | |
| sensitivity | No | What moves this verdict, computed deterministically: the value if readiness were one notch worse, the value at revenue minus 20 percent, and the nearest single-pillar movements that flip the classification. Boards trust ranges with visible assumptions over point estimates; show this. | |
| pillar_basis | No | Per pillar: "given" (caller supplied it) or "estimated" (deterministic prior). When any pillar is estimated, tell the user which, and ask for evidence on those to firm up the verdict. | |
| net_value_eur | Yes | Readiness-adjusted benefit hypothesis before project build, run and change costs. Replace planning rates with scoped economics before funding. | |
| classification | Yes | The verdict for this initiative. | |
| interpretation | No | Meaning and limits of compatibility fields. Present these labels when explaining the result. | |
| applied_modules | Yes | Scoring-rule and sector-context labels. Sector labels do not certify clinical validation or regulatory compliance. | |
| gross_value_eur | Yes | Modelled gross value in EUR before capture, low/high. | |
| benchmark_source | Yes | Provenance and evidence status for the AI BVF planning rates applied. | |
| work_architecture | Yes | The work architecture gate across workflow, roles, human decision rights and performance measures. A stated gap or missing evidence blocks Accelerate. | |
| advisory_next_step | No | Optional CTA, present only for Fix/Stop verdicts. | |
| decision_confidence | Yes | Heuristic decision score, 0 to 100, adjusted for input quality. This score has no probability calibration. |