AI Process Audit
Find the workflows where AI makes operational sense.
An audit separates attractive AI ideas from workflows with a clear owner, available knowledge, repeatability, controlled risk and measurable business impact.
Audit goal
Prioritize workflow before selecting technology.
Onfria maps knowledge-heavy work, rules and documentation flows. The output is not a generic list of AI use cases, but a decision about where to run a pilot and how to measure its impact.
- Identify knowledge-heavy processes and their owners.
- Assess data, documentation, rules, risks and human control.
- Prioritize by impact, feasibility and speed of validation.
- Define the first Knowledge Flow Pilot with success metrics.
Outputs
What the company has after the audit.
Map of AI-ready workflows
A view of processes where knowledge work repeats and improvement can be measured.
Prioritization model
Comparison by business impact, risk, knowledge availability and implementation effort.
Pilot proposal
Selected workflow, scope, roles, control points, outputs and metrics for an operating decision.
Start with evidence before rollout.
Use the audit to decide where AI belongs, what it should improve and what must stay under human control.