Solutions / AI Pilot to Production
Outcome 05

The model works. Production requires everything around it to work too.

A successful proof of concept demonstrates possibility. Production requires repeatable access, security policy, data handling, resilience, monitoring, ownership, support and change management.

Framing

Common production questions.

  • How are users and applications authenticated?
  • Which models are approved and why?
  • What happens when a provider is unavailable?
  • How is sensitive data handled?
  • What is logged and retained?
  • Who owns exceptions?
  • How are costs and usage controlled?
  • What is the rollback plan?
  • Who supports the service after launch?
Deadlights approach

From working demo to operable service.

01Review the working pilot and its dependencies.
02Identify production gaps and trust boundaries.
03Define the target architecture and operating model.
04Implement controls in small testable increments.
05Validate normal and failure paths.
06Hand off runbooks, evidence and ownership.
OUTCOME

A path from “the demo works” to “the service can be operated.”

This work is delivered through the AI / LLM Architecture and Secure AI Gateway Implementation services.

Ready to close the production gaps?