Reduce operational and client-trust risk in Make, n8n, OpenAI and AI-powered workflows before small failures become client-facing problems.
Client data passes through AI tools without a clear inventory of which tools see what.
Automated workflows make decisions without a defined approval layer for edge cases.
When an AI step fails or produces a wrong output, there is no structured failure response.
No audit trail means a client complaint cannot be investigated systematically.
Agencies grow their stack faster than their governance. Small exposures accumulate.
A single client-facing AI failure becomes a trust problem before it becomes a technical problem.
This is a defined, time-limited review of your AI workflow stack — focused on governance gaps, data exposure, failure points, and missing controls. You receive a structured report you can act on and use as a trust asset with clients.
Teams building Make or n8n workflows that include AI steps and touch client systems or data.
Freelance builders and consultants delivering automated systems to multiple clients without a formal governance layer.
Product teams that have integrated AI features into client-facing workflows and have not yet defined failure or compliance processes.
A short async intake: tools used, workflow types, client data involved, current controls.
Analysis of your AI workflow architecture against a structured governance framework.
A clear, structured document with risk map, gaps, and prioritised recommendations.
30 minutes to review findings together, clarify risk priorities, and define next steps.
Send a short email describing your stack and what prompted you to look at governance. I will respond within 48 hours with whether this audit fits your situation.
Write a brief description of your stack, the AI tools you use, and what you are concerned about. No formal brief required.
contact@orionech.comResponse within 48h.
Short async intake first.
No long sales call.