AI reliability sprint
Make one AI workflow ready for a release your team can defend.
Add evaluations, controls, and recovery to one AI workflow that cannot yet pass a release review.
$4,500 sprint · One workflow · Optional continuity
Representative release gate
Production readiness profile
Release decision
Controls required before approval
High-impact path
A failed tool call must have an intentional retry, fallback, or handoff.
Evaluate
Test set
Control
Approval
Recover
Owner
Who this is for
One workflow blocked before release.
One defined agent or RAG workflow that works in a demo but needs evidence before release.
The signs
- The workflow works in demos but fails under real data.
- Leadership needs evidence before approving the release.
- Tool errors, regressions, or high-impact actions have no safe recovery path.
“It seems better after the prompt change.”
Representative cases and an explicit release decision
Failure shows up as a support ticket
Traces, classification, alerts, and recovery behaviour
Tool errors leave the workflow stranded
Retry, fallback, or human handoff chosen on purpose
Representative release decision
Workflow readiness record
Current decision
Hold until recovery behaviour is defined
- Evaluation coverage
- Critical paths exercised
- Evidence
- Recovery behaviour
- Fallback or handoff
- Required
- Release accountability
- Decision owner named
- Owner
What you receive
Evidence your team can use.
- Failure-mode inventory and evaluation plan
- Representative test set and regression checks
- Guardrails, observability, and recovery controls
- Release criteria, implementation notes, and handover
Pricing
$4,500
One workflow, from inspection through release evidence and handover.
Shape
Inspect and rank → build controls → review evidence → hand over.
Questions