90-Day Enterprise AI Pilot

Validate first. Scale AI later.

Start with one real workflow, clear ownership, usable data, and human review. Build the smallest complete loop, test it, then decide whether to scale.

Two engineers reviewing a blueprint together during field discovery

Before the Pilot

If these five questions are unclear, development should wait

Business Problem

Which real problem is affecting a decision, action, or delivery?

Users & Owner

Who uses and reviews the workflow, and who owns the outcome?

Workflow

Which process needs to change, and where does human review belong?

Data & Context

Which sources are reliable, permitted, and protected?

Business Value

What behavior should change, and how will the outcome be judged?

Pilot Delivery Cycle

Four stages of delivery and review across 90 days

01

Stage 1 | Problem & Context

Confirm the problem, scope, owner, data, permissions, review points, and baseline.

02

Stage 2 | Minimum Complete Loop

Build the smallest end-to-end slice with provenance, state, error stops, and human override.

03

Stage 3 | Real Use

Let intended users work under real constraints and record failures, judgments, and outcomes.

04

Stage 4 | Business Value Review

Use evidence to decide whether to expand, revise, keep the work human-led, or stop.

Three-stage 90-day pilot timeline from discovery through validation to operation and review
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Human Review

AI can recommend. Authorized people remain accountable.

AI may research, compare, recommend, draft, and remind. Formal commitments involving specifications, performance, accuracy, certification, delivery, pricing, legal conclusions, or major business decisions require authorized human approval.

  • Make sources and confidence visible
  • Mark uncertain facts explicitly
  • Allow stopping, override, and safe reruns
  • Feed decisions and outcomes back into the workflow
Human-gated path from AI preparation through authorized execution and audit, with a reviewed contact intake flow
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Business Value Review

Use real outcomes to decide what comes next

Review adoption, judgment quality, delivery outcomes, and governance reliability. A generated output or polished interface does not prove the business loop is complete.

  • Did intended users actually adopt it?
  • Did judgment become faster, steadier, or easier to explain?
  • Can actions and outcomes be traced?
  • Are risk, permissions, and rollback controlled?
AI value review across adoption, judgment, results, and governance leading to the next decision
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Engagement Boundary

Scope and fees follow the business diagnosis

The formal proposal and agreement confirm pilot scope, fees, delivery approach, and responsibilities after the business diagnosis.