AI Assurance
Everyone will build you an AI agent. We'll tell you whether it works.
Evaluation suites, red-teaming, guardrails and production observability for enterprise AI systems — whether we built them or you did. Task-specific rubrics, deterministic graders and runnable environments. Not human spot-checks.
Quality is the #1 blocker to putting agents in production
Cited ahead of latency and cost — survey of 1,340 practitioners, December 2025
Of teams run no evaluations at all
Same survey. Nearly a third of teams are shipping on hope
Of agentic AI projects expected to be cancelled by end of 2027
Gartner forecast, published 2025 — unclear value and inadequate risk controls, not bad models
The systems that survive are the ones somebody can prove.
Four Offers
Timeboxed, scoped, and on the website.
Production Readiness Audit
Failure taxonomy, eval gap analysis, guardrail review, observability assessment, go/no-go with a written rationale.
Hardening Sprint
Red-teaming, prompt-injection testing, regression eval suite, guardrail implementation, HITL design, observability wiring.
Eval Suite Build
Task-specific rubrics, deterministic graders, golden dataset, LLM-as-judge calibrated against human review, CI-runnable harness.
Agent Operations
Continuous eval runs on every prompt and model change, trajectory review, failure triage, regression maintenance, monthly reliability report, model-upgrade migrations.
Method
What "not human spot-checks" means in practice.
Task-specific rubrics
Scoring criteria written for your workflow, not a generic quality checklist. Agreed with you in week one, revised when inter-annotator agreement says the instruction was ambiguous.
Deterministic graders
Wherever a check can be code instead of opinion, it is. Schema validation, grounding checks, threshold assertions — the same input always scores the same way.
Runnable environments
The harness runs in your CI, on every prompt and model change. An eval you can't re-run isn't an eval — it's a memory of one.
Calibrated judges
Where an LLM-as-judge is used, it's calibrated against human review on a golden set — and we report the agreement number instead of asserting it.
See the work before you talk to us.
A real evaluation report, downloadable directly. No form, no gate. If you want to talk it through afterwards, you'll speak to the engineer who'd do the work — not a salesperson.