KeenSight Analytics
Consult

Prove Before You Scale

Production AI Pilot

A bounded implementation that produces working software and evidence about quality, integration complexity, controls, and operating value before a broader production rollout.

Starting investment: $25,000+

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A pilot should answer production questions—not just demonstrate a model

KeenSight pilots are designed around a specific workflow and the evidence required to make a larger implementation decision. That usually means representative data, real integration points where practical, explicit evaluation criteria, human-review and exception paths, and enough operating context to understand what production deployment will require.

If you are still choosing the initiative, compare your next AI investments. Where approval or ownership is unresolved, define approval and operating responsibilities alongside the pilot scope.

Good fit when

  • ✓The workflow is defined, but important technical or operational risks remain.
  • ✓You want working software before committing to a larger production implementation.
  • ✓Integration complexity, model quality, exception handling, or user adoption needs to be validated.
  • ✓The organization needs evidence to support a broader investment decision.
  • ✓You want a pilot that can become the first slice of a production system rather than a disposable demo.

What this engagement creates

Outcomes built around your operating environment

Working software

A functional workflow or agent that demonstrates the intended operating behavior rather than a slide deck or isolated model demo.

Representative integrations

Connections to agreed systems, data, or knowledge sources sufficient to test the real implementation assumptions.

Evaluation evidence

Measured performance against representative cases, including quality, failure modes, exception patterns, and acceptance criteria.

Human-review model

Defined review, approval, escalation, and fallback paths for cases that should not be handled autonomously.

Production findings

A clear view of what must change, harden, integrate, or expand before broader deployment.

Implementation recommendation

A practical next-step scope and investment range based on what the pilot actually demonstrated.

Typical deliverables

What you can expect

  • ✓Functional bounded AI workflow or agent
  • ✓Representative data and system integrations
  • ✓Evaluation criteria and test cases
  • ✓Exception handling and human-review paths
  • ✓Security and permission boundaries appropriate to pilot scope
  • ✓Pilot findings and production risks
  • ✓Recommended production architecture and roadmap
  • ✓Implementation scope and estimated investment range

How we work

1

Define the evidence

Agree on the workflow boundary, assumptions to test, representative cases, and decision criteria for moving forward.

2

Build the bounded system

Implement the workflow, integrations, business logic, controls, and user interaction needed to test those assumptions.

3

Evaluate under realistic conditions

Run representative cases, examine quality and failure modes, and refine review and exception handling.

4

Decide the production path

Translate pilot evidence into a recommended production scope, architecture, controls, and implementation plan.

Make the pilot part of the implementation path

For qualifying engagements, 50% of the KeenSight professional-services fee for the pilot may be credited toward the subsequent production implementation under terms defined in the statement of work.

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