Keep your production AI healthy.
Shipping the agent is the start, not the finish. We monitor, improve, and own the health of your production AI — evals, drift, versioning, vendor changes — tied to the metrics that matter.
Everything it takes to stay in production.
Production AI isn't software you ship and forget. This is the operating layer that keeps it working.
Continuous evals
Regression suites run on every change, so quality never silently degrades.
Drift & quality monitoring
We watch accuracy, latency, and cost in production and catch drift before your users do.
Prompt & model versioning
Every prompt and model change is versioned, tested, and reversible.
Vendor-change response
When OpenAI, Anthropic, or your platform ships a breaking change, we absorb it.
Guardrails & fallbacks
Safety rails and graceful degradation so a bad input never becomes a bad outcome.
Quarterly roadmaps
We keep improving the system against your KPIs, not just keeping the lights on.
Instrument. Operate. Improve.
Observability in
We wire up monitoring, evals, and alerting against the metrics you care about.
Keep it healthy
We watch, tune, version, and respond — so the system stays reliable under real load.
Raise the ceiling
Quarterly, we improve accuracy, expand coverage, and tie results to your KPIs.
Priced to the systems you run.
All tiers tie reporting to your KPIs — resolution rate, uptime, accuracy — so you see what you're paying for.
Monitoring, maintenance, and incident response for a single production agent.
Plus monthly improvements and a roadmap.
Full operating partnership with quarterly strategy.
We are nota vendor who hands you the keys and vanishes the first Monday something breaks. We stay on the hook — because in production, reliability is the product. This isn’t chatbot babysitting; it’s the operating layer that keeps production AI earning its keep.
Questions about managed operations
Do you only operate systems you built?
No. We can take over operations for AI systems built by your team or another vendor. We start with an audit, instrument observability and evals, and then own the health going forward.
What does "tied to the metrics that matter" mean?
We agree on the KPIs your AI is supposed to move — resolution rate, deflection, accuracy, cost per task — and report against them, not vanity uptime numbers.
How is this priced?
Managed AI Operations runs $3,000–$20,000/month: Light ($3K, 1 system), Standard ($8K, 3 systems), Heavy ($20K, 5+ systems or an agent platform). It's priced to the scope and number of systems under management.
What happens when a model vendor ships a breaking change?
We absorb it. Model deprecations, API changes, and behavior shifts are part of what we monitor and respond to — so your team is never blindsided.
Already in production? Let's keep it that way.
Whether we built it or you did, we'll instrument it, operate it, and tie it to your KPIs.