Service
AI Operations Platform
From “it works in the demo” to “it works at 2 a.m. under real load.”
What this solves
- Pilots and PoCs that have been "almost ready for production" for months
- Security and compliance teams blocking launch because the pilot was built without them
- No answer to the questions that matter at scale: what does this cost per thousand requests? What happens when it fails? Who gets paged?
- Internal teams that built something promising but have never operated an AI system in production
What we deliver
- A production-hardening pass on your existing AI system: architecture review, failure modes, fallbacks, and observability
- Security and compliance audit — data flows, access controls, retention, and vendor exposure documented and fixed
- Load testing against realistic traffic, with capacity planning for growth
- Cost engineering: model selection, caching, and routing that keep per-request costs predictable at scale
- Deployment into your environment with monitoring, alerting, and runbooks your team can operate
- A handover your IT department will actually sign off on
Duration & Investment
| Timeline | 6–10 weeks. |
|---|---|
| Investment | $20k–55k depending on the current state of the system and the depth of compliance requirements. Fixed scope, agreed before kickoff. |
Best for
Companies that already invested in an AI pilot — internally or through another vendor — and need it to become dependable infrastructure rather than a permanent experiment.