Accuracy monitoring for automations
We track what your automations get right and wrong every day, with alerts when accuracy drifts. You'll know about problems before your customers do.
Solution
MLOps, Evals & Production Hardening
From working demo to boringly reliable production.
Pilots are easy; production is where AI projects die. We take working automations and make them boringly reliable: measuring accuracy continuously, controlling API costs, and designing graceful fallbacks for when models misbehave.
If you've got an AI pilot that works in demos but nobody trusts in production, this is the service that fixes that.
Concrete use cases
Cost guardrails on AI usage
Budgets per workflow, per team, per month — with automatic throttling and alerts before spend surprises you. AI costs stay predictable.
Fallback & escalation to humans
When the AI isn't confident, the task routes to a human with full context instead of failing silently or guessing. Your customers never see the seams.
What's included
- Evaluation suites tracking accuracy over time
- Cost monitoring with budgets and alerts
- Fallback and human-escalation design
- Incident runbooks and rollback procedures
MLOps, Evals & Production Hardening — FAQs
Common culprits: no accuracy monitoring (silent degradation), unbounded API costs, and no fallback when the model is uncertain. We audit for all three and fix them systematically.
Yes — we can take over an existing pilot or in-house build, audit it, and bring it to production standard without starting over.
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Learn moreReady to automate with mlops, evals & production hardening?
Book a free consultation. We'll map your most repetitive workflow and show you what an AI pilot could look like.