AI Reliability Sprint · B2B SaaS: Make your SaaS AI safe enough to launch.
We fix what your Review found, put guardrails around your SaaS AI, and test it on prompt and model changes, customer separation and rollback.
- $4,500 sprint
- About 10 business days
- After a Topiax Review
B2B SaaS focus: A useful AI feature, with proof behind the release decision
SaaS release readiness
Decision: conditional
- Eval suite
- Failure handling
- Guardrails
- Recovery path
Representative preview · your record is built from your own app
What changes in the sprint
BeforeCritical and High findings sit in a report
AfterFixed for you, reviewed, then re-tested
BeforeNothing limits what your AI feature does
AfterGuardrails: limits on what the AI accepts, answers and spends
Before“It seems better after the prompt change.”
AfterAn eval suite: automated tests that re-check the AI on every change
Questions
Before you start.
What does the AI Reliability Sprint cover for SaaS teams?
For SaaS teams, the Sprint fixes what your Review found and sets up tests that run before a prompt, model or retrieval change reaches customers. They measure answer quality, tool use, customer separation, speed, cost and escalation on real cases.
What should SaaS teams check before launch?
Before launch, check three things: prompt or model changes do not break critical cases; tenant and permission checks run outside the AI model; and failures are visible, contained, and reversible.
What does the AI Reliability Sprint not cover for SaaS teams?
The Sprint does not certify the whole product or promise that an AI system will never fail.
What does the AI Reliability Sprint cost, and what does it need?
The AI Reliability Sprint costs $4,500, fixed, and takes about 10 business days. It needs a Topiax Launch Readiness Review from the last 60 days, because the Review's findings decide what gets fixed. Reliability Continuity afterwards is optional, at $1,500 per month.
Does the AI Reliability Sprint build LLM and RAG evaluation test sets?
Yes, the AI Reliability Sprint sets up an eval suite: automated tests that re-check the AI on every change. For SaaS teams, the test cases usually start from representative, customer-safe test cases.