RECOMO · AI AUDIT
We analyze processes, identify AI use cases, and prioritize them by value, feasibility, risk, and team readiness.
Not every process needs to be automated
The audit helps separate repeatable, data-driven work from tasks requiring judgment, negotiation, accountability, or process changes.
Repeatability
How often the step is repeated and how much manual time is hidden in it.
Result
Whether quality, ownership, and success criteria can be defined.
Risk
The cost of errors, where control is needed, and what data is permissible to use.
From Process Map to Priority AI Use Case
We analyze workflows alongside process owners, identify bottlenecks, and evaluate scenarios based on value, feasibility, and risk. Not every identified opportunity warrants automation.
01
Context
We define the process, process owner, inputs, outputs, and current constraints.
02
Use Cases
Identify practical ways to apply AI to specific process steps.
03
Priority
We assess value, feasibility, risk, data, and team readiness.
04
Next step
We select the next step: a pilot, further research, or a pass.
What is included in the AI Audit
Process Map
Functions, workflows, owners, manual steps, data, and decision points.
AI Use Cases
Specific ways to apply AI to identified bottlenecks and repetitive tasks.
Priority Matrix
Assessment of value, feasibility, risk, data availability, and owner readiness.
Recommendation
Decision: run a pilot, refine the process, conduct research, or hold off on AI adoption.
From Process to Pilot Decision
An audit connects process observation with actionable decisions: what to verify, what to change, and what not to automate.
01
Define the process, owner, objective, and constraints.
02
We map out workflow steps and design AI scenarios.
03
We assess value, feasibility, risk, data, and team readiness.
04
We agree on the pilot, roadmap, additional data, or decide not to proceed with the scenario.
Who AI Audit is for
Ideal if
There is a process with manual steps, a clear owner, and the question of where AI can deliver measurable improvement.
Not suitable if
Automating everything at once without an owner, quality criteria, available data, or risk assessment.
FAQ
Which processes are suitable for an audit?
Repeatable, costly, or slow processes with a clear owner, accessible data, and measurable outcomes. The presence of AI is not a criterion in itself.
What does the audit include?
Analysis of features and workflows, stakeholder interviews, constraint mapping, an AI use case backlog, and prioritization by value, feasibility, and risk.
What comes after prioritization?
The team selects one or more pilot scenarios, sets benchmarks, and decides which scope to scale, modify, or shut down.
Start with a process audit
We will discuss the bottleneck, prioritization criteria, and the next step—with no promises of automatic savings.