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Accelerated AI pilots: from idea to evidence in 6 weeks

Time-boxed pilots with governance and metrics baked in—so each pilot ends with go/no-go evidence, not another roadmap.

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The problem

Pilots that end in demos, not decisions

  • Pilots without exit criteria

    Teams kick off a pilot with energy but no scoreboard. Nobody agreed up front what 'good enough' looks like, so it ends with a demo and a maybe.

  • No production path

    The prototype works on a laptop. The path to production—governance, data access, integrations, ownership—was never scoped, so 'go' still takes another quarter.

  • Governance retrofitted

    Risk, audit and security arrive at the demo. What looked like a pilot becomes a six-month remediation project before anyone can use it.

  • Demos instead of decisions

    Stakeholders see a polished demo, applaud, and ask for another one. Investment committees keep waiting for evidence that the bet pays back.

How it works

A pilot designed to end in a decision

Step 1

Scope & instrument

Lock the use case, the exit criteria, the baseline and the metrics up front—plus the data, governance and ownership the pilot needs to be real.

Step 2

Build & evaluate

Six-week sprint on Synapse to build, evaluate and instrument the pilot—with telemetry, evaluation harness and governance gates wired from day one.

Step 3

Decide & hand over

Go/no-go scorecard, production path and ownership handed to the business—so the next investment committee sees evidence, not another demo.

Pilot scope adapts to data access, governance posture and the decision the pilot must support.

Accelerated AI pilots: from idea to evidence in 6 weeks

What's included

Everything a pilot needsto end in a decision

Sprint plan, evaluation harness, governance template, telemetry, exit criteria and a production path—delivered on Synapse so pilots end as decisions, not demos.

6-week sprint plan

Time-boxed plan with weekly milestones, named owners and integration touchpoints—so the pilot stays inside its box.

Evaluation harness

Reusable harness to evaluate model output against labeled cases and business KPIs—not just intuition.

Governance template

Lightweight risk, data and audit template pre-wired to your AI policy and EU AI Act posture from day one.

Telemetry & metrics

Instrumentation captures usage, accuracy, latency, cost and business KPIs—live evidence instead of a deck.

Exit criteria scorecard

Pre-agreed go/no-go thresholds turn the final review into a structured decision, not a debate.

Production path

Documented path to production—data, governance, ownership and integration—so 'go' actually means go.

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Results

What changes when pilots end in decisions

Results vary by context, data maturity, and scope. We scope honestly before we promise precisely.

6 weeks

from kickoff to go/no-go evidence per pilot

Orientative—target cadence; varies by data access and governance.

100%

of pilots delivered with pre-agreed exit criteria and live telemetry

Orientative—per engagement scope.

Clear

production path and ownership documented for every 'go' decision

How we work

From kickoff to go/no-go in six weeks

Frame

Week 0

Lock the use case, decision the pilot must support, exit criteria, baseline and the governance perimeter.

Build

Week 1–3

Build the pilot on Synapse, wire telemetry and the evaluation harness, integrate governance gates.

Evaluate

Week 4–5

Run the pilot against real cases, capture metrics, gather user feedback and stress-test against exit criteria.

Decide

Week 6

Go/no-go scorecard review with the investment committee, plus the production path and ownership for 'go' decisions.

Timelines vary by data access, regulatory perimeter, and the depth of integration the pilot requires.

Get started

Ready to turn your next AI pilot into a real decision?

No commitment. We start with a scoped session to align on the use case, exit criteria and the decision the pilot must support.

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