AI Operations Platform
From "it works in the demo" to "it works at 2 a.m. under real load."
We turn a stalled pilot or PoC into secure, scalable production software with the monitoring, controls, and cost discipline it needs.
When this service is the right fit
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.
- 01Pilots and PoCs that have been "almost ready for production" for months
- 02Security and compliance teams blocking launch because the pilot was built without them
- 03No answer to the questions that matter at scale: what does this cost per thousand requests? What happens when it fails? Who gets paged?
- 04Internal teams that built something promising but have never operated an AI system in production
Why pilots stall before production
Fragile architecture
Failure modes and fallbacks were never architected for — the system hasn't been reviewed for what happens when something breaks.
Missing observability
No answer to what happens when it fails, or who gets paged — because there’s no observability into how the system behaves.
Security and access gaps
Data flows, access controls, retention, and vendor exposure that were never audited — which is exactly what blocks security and compliance teams from signing off on launch.
Uncontrolled costs
No answer to what this costs per thousand requests, because no cost engineering — model selection, caching, routing — has been done yet.
No operational ownership
Built by teams that have never operated an AI system in production, with no monitoring, alerting, runbooks, or IT sign-off in place to run it.
What we harden and build
Architecture
Architecture review, failure modes, and fallbacks for your existing AI system.
Reliability & monitoring
Observability into how the system behaves, plus the monitoring and alerting your team needs.
Security & access
Data flows, access controls, retention, and vendor exposure — documented and fixed.
Performance & scale
Load testing against realistic traffic, with capacity planning for growth.
Cost control
Model selection, caching, and routing that keep per-request costs predictable at scale.
Operational tooling
Runbooks your team can operate, and a handover your IT department will actually sign off on.
How the engagement runs
Review
We review your existing system's architecture, failure modes, and fallbacks, and audit its data flows, access controls, retention, and vendor exposure.
Stabilize
We build the observability your system needs, and load-test against realistic traffic with capacity planning for growth.
Harden
We fix what the security and compliance audit surfaces, and engineer costs — model selection, caching, and routing — to stay predictable at scale.
Launch
We deploy into your environment with monitoring, alerting, and runbooks your team can operate, and hand over to a sign-off your IT department will actually accept.
What you receive
Production-hardening pass
A production-hardening pass on your existing AI system: architecture review, failure modes, fallbacks, and observability.
Security & compliance audit
Security and compliance audit — data flows, access controls, retention, and vendor exposure documented and fixed.
Load & capacity testing
Load testing against realistic traffic, with capacity planning for growth.
Cost engineering
Cost engineering: model selection, caching, and routing that keep per-request costs predictable at scale.
Monitored deployment
Deployment into your environment with monitoring, alerting, and runbooks your team can operate.
IT-approved handover
A handover your IT department will actually sign off on.
6–10 weeks.
$20k–55k depending on the current state of the system and the depth of compliance requirements.
Fixed scope, agreed before kickoff.