Pilot to Production: Scaling an AI Proof of Concept

Pilot to Production: Scaling an AI Proof of Concept

A promising demo is a long way from a dependable production system. The gap between the two trips up many AI projects, and crossing it deliberately makes all the difference.

This article maps the journey from pilot to production.

Why Pilots Look Easy

A pilot handles tidy data, a few friendly users and no real consequences. Production faces messy inputs, heavy load, edge cases and a need for reliability — a far harder test.

What Production Demands

  • Handling unexpected and messy inputs gracefully.
  • Monitoring, logging and alerting.
  • Clear cost controls at full volume.
  • Support, ownership and a plan when it fails.

A Staged Rollout

  1. Prove value with a contained pilot.
  2. Harden it for real-world inputs and load.
  3. Release to a small group, then expand.
  4. Monitor and improve continuously.

Frequently Asked Questions

Why did our demo work but the rollout struggle?

Demos use ideal conditions. Production exposes the messy reality, which is exactly what the hardening stage addresses.

If you need a hand with any of this, your Progressive Robot delivery team is ready to help. Raise a ticket from the Support area of your client portal or speak to your account manager and we will guide you through the next steps.

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