Your AI doesn’t stop at launch. Neither do we.
We run your AI in production, reliability, cost, and governance owned end-to-end. Even the AI we didn’t build.
Shipping the agent is the easy part,
managing it is where things fall apart.
After launch is where AI quietly goes wrong. Costs creep, then spike — and no one can say which feature, model, or user caused the bill. Models drift and degrade silently; your users feel it before your team does.
Gartner
≥50%
GenAI projects will overrun their budgets through 2028.
Deloitte, State of AI 2026
1 in 5
Companies has a mature governance model for autonomous AI agents.
Deloitte, 2026
~25%
Organizations have comprehensive visibility into how AI is actually used.
Building AI is a project. Running it is a discipline, cost, reliability, and governance every day. That’s what we manage.
Book a working sessionWe manage AI in production,
so your team doesn’t have to.
A single model deprecation can break production overnight and governance gaps tend to surface after an incident. Attri observe and manage the AI running in production.
Cost governance
A cascading router + token budgets that cut spend and make it attributable.
Observability
Full tracing of every decision made by AI agents, across every service.
Reliability & uptime
Monitoring, incident response, and SLAs you can hold us to.
Runtime governance
Policy enforced live, drift caught early, an audit trail always on.
Cut the bill, not the capability.
A cascading multi-vendor router sends simple hops to cheap, fast models and reserves frontier models for the high-stakes calls, a ~70% cut in LLM cost, with token budgets and per-model, per-user attribution, so you finally know where the spend goes and why.
See every decision, catch drift before your users do.
Full tracing through the tools you already run — OpenTelemetry, Datadog, Sentry, PostHog — plus drift and degradation monitoring and a real incident-response loop. When something moves, we see it first.
Audit-ready continuously, not just at audit time.
Policy is enforced at runtime, every action lands in an append-only, replayable ledger, and evidence is collected continuously, so when a regulator, auditor or board asks what your AI did and why, the answer is already on file.
Defined accountability, not best-effort.
Clear SLAs and named ownership for uptime, cost, and incident response. You don’t get a chatbot you have to babysit, you get a partner accountable for keeping it reliable, affordable, and compliant over time.
Run better, and prove it.
After launch, Attri cut a client’s LLM bill ~70% with cascading routing and caught model drift before it reached customers — at 99.9% uptime.
~70%
Lower LLM cost.
99.9%
Production uptime.
80%
Faster incident response.
10+
Services traced end-to-end.
Questions, answered.
Can't find what you're looking for? Talk to our team.
Yes — we instrument, trace, and govern existing systems, then optimise cost and reliability from there.
Already shipped AI and not sure what it’s doing, or costing?