M87 STUDIO
Representative Decision Packet · 01/02

Constraint Review · Representative scenario

Should this firm fund an AI lead-scoring system?

Decision under review: whether predictive scoring is the smallest defensible next investment for a professional-services sales workflow.

Evidence boundary: This is a synthetic teaching example. It is not client work, a testimonial, or a claimed commercial result. Its purpose is to show the structure and evidentiary discipline of an M87 deliverable.

Proof-basis key

ReportedObservedCalculatedInferredUnknown

Evidence register

BasisMaterial statementDecision effect
ReportedLeadership believes inconsistent follow-up is causing qualified opportunities to be lost.Establishes the concern, not its cause.
ObservedNo organization-wide definition of a qualified lead is present in the supplied workflow.Scoring labels cannot yet be evaluated consistently.
ObservedLifecycle-stage and first-response timestamps are incomplete or applied inconsistently.The baseline cannot currently support attribution.
InferredAutomating a disputed definition would scale inconsistency rather than resolve it.Predictive scoring is premature.
UnknownThe conversion effect of response time, lead source, and qualification criteria.No defensible value claim is available yet.

Competing explanations

A · Insufficient lead volume

Not established. Volume by eligible source and period is incomplete.

B · Slow first response

Plausible, but timestamps are too incomplete to quantify the effect.

C · Qualification ambiguity

Supported. Teams do not share an enforceable definition or required evidence.

D · Missing predictive model

Not supported. Model readiness depends on stable labels and measurable outcomes.

M87 STUDIO
Representative Decision Packet · 02/02

Governing constraint

The workflow lacks a stable qualification and measurement contract.

The immediate constraint is not the absence of AI scoring. It is the absence of agreed labels, required evidence, and complete timestamps needed to determine whether any scoring mechanism improves the decision.

Decision options

OptionDecisionReason
Build predictive scoring nowDo not authorizeTraining and evaluation labels are not stable.
Buy a scoring productDeferA product would inherit the same measurement defect.
Standardize qualification and instrumentationRecommendCreates the minimum evidence needed for the later build decision.
Take no actionRetain as fallbackValid if the decision owner will not enforce the measurement contract.

Smallest defensible next decision

Authorize a four-week measurement phase: one qualification definition, required evidence fields, first-response and stage timestamps, and a weekly contradiction review.

Measurement contract

Primary outcome

Qualified opportunities advancing to an agreed next stage.

Leading indicator

Eligible records meeting the evidence and timestamp contract.

Guardrail

No automated rejection, routing, or external communication.

Source of record

The governed CRM export approved for the review.

Value range

Unknown No savings, conversion lift, or revenue range should be claimed until the baseline is complete and the attribution method is approved.

Authorization boundary

Authorized by this decision

  • Define qualification evidence
  • Instrument required timestamps
  • Run the bounded measurement phase
  • Return a comparison packet

Still unauthorized

  • AI model procurement or build
  • Automated lead rejection or routing
  • Contact enrichment or outreach
  • Claims of commercial value

Next gate

After four weeks, compare completeness, stage progression, contradictions, and outcome coverage. Only then decide whether deterministic rules, AI assistance, or no build is warranted.