AI reliability engineering for production workflows
Make one AI workflow ready for a release your team can defend.
For teams shipping an AI agent, RAG workflow, or consequential AI feature. Topiax finds failure paths, adds evaluations and guardrails, and makes recovery and release ownership visible before production users find the gaps.
- 01
- One workflow
- $4.5k
- Focused sprint
- 2 to 3 wk
- Launch window
AI release gate
Customer Support Agent
Failure paths
Critical risk
Duplicate action after timeout
Missing controls
- Idempotency boundary
- Recovery state
- Human approval boundary
Choose the smallest useful intervention
Match the work to the decision in front of you.
Each path names the outcome, the evidence you receive, and the handover your team keeps.
01
Harden
AI Reliability Sprint
Make your AI safer before it goes live.
02
Review
48-hour Launch Readiness Review
03
Build
Custom AI Workflow Integration
Selected artefact
Operating workflow
01Risk and test list
02Safe fallbacks
03Release checklist
01 · Harden
AI Reliability Sprint
We test the risky parts, add safe stops, and give your team a simple release check.
Explore this engagementThe operating standard
A small process with a useful result.
Map the work, make controls visible, test the risks, then hand over a path your team can own.
- 01
Understand the work
We map the people, tools, and risky moments before we change anything.
Workflow map - 02
Build what matters
We focus on one useful path with clear limits around data and actions.
Working release - 03
Test the risky parts
We check what can go wrong before your users do.
Risk report - 04
Hand it over
You get the system, notes, and proof your team can own.
Owned system
A quick fit check
Good work starts with a real problem.
Strong fit
Your workflow has an owner and a real cost if AI gets it wrong.
You have an owner, access to the current process, and a reason to act.
Not a fit
You want ideas or an endless feature list.
Topiax works best on one problem with a finish.
Questions, answered
Clarity before commitment.
Know the work, cost, and next step.
Can you work with our team?+
Yes. We can lead one part of the work or work beside your team. We agree roles, access, and what “done” means before we start.
Do we need a finished AI product?+
No. Bring a real workflow and the data it uses. We can help before launch or make an existing feature safer.
How do you reduce bad answers?+
We test common and edge cases, limit what the system can do, add safe fallbacks, and keep a person in control when risk is high.
What happens after the first call?+
If it fits, you get a short scope with the work, timing, price, and result. You can say yes or no without a long contract.