Know where AI gets stuck before you invest further.
Before investing further in AI, the audit shows how processes, data, systems and governance relate to your AI initiative. You gain insight into risks, missing preconditions and the most logical next step.The result is a written assessment with substantiated recommendations for responsible use or scaling.
Who it is for
For organisations serious about putting AI to work.
The audit is meant for organisations with AI initiatives in flight, but where overview, control and responsibilities are not yet sufficiently in place. We assess what is needed before further investment or scaling, so AI can become a responsible part of the operation.
- 01
You have one or more AI initiatives running, but lack overview.
- 02
Colleagues still check or correct AI output by hand.
- 03
It is unclear who is responsible for errors, exceptions or decisions.
- 04
You want to know what is needed before investing further in AI.
Outcome
A clear picture of where you stand.
Four concrete deliverables that help with prioritisation, decision-making and determining responsible next steps around AI.
- 01
An assessment of processes, data, systems and governance around your AI initiative.
- 02
An overview of operational risks, dependencies and missing preconditions.
- 03
A priority list with the most important next steps for further use or scaling.
- 04
A management summary that can be used for internal decision-making.
Scope
Not a generic introductory call. Not a generic AI scan.
The AI Operations Audit is not a general sales conversation or a surface-level inventory of AI opportunities. It is a focused operational assessment to determine whether your AI initiative can be responsibly continued, sharpened or scaled.
Assessment
We assess the operation around AI.
Four interconnected areas that together determine whether AI can become a responsible part of your operation.
- 01
Process
We examine whether the AI initiative sits logically within existing work processes. We review tasks, handovers, exceptions and dependencies.
- 02
Data
We assess whether the information sources used are reliable, accessible and suitable for the intended application.
- 03
Systems
We look at how the AI initiative relates to existing applications, tooling and operational systems.
- 04
Governance
We assess how control, responsibility, decision-making and risk management are set up.
Approach
Compact, substantive and focused on decisions.
Three steps from preparation to findings, in a defined engagement.
Step 01
Preparation
You share context, objectives, processes involved and relevant documentation up front.
Step 02
Audit conversation
In a focused session we review processes, data, systems, governance and dependencies.
Step 03
Findings
You receive a written summary with assessment, risks and recommended next steps.
Contact
Get clarity before you invest further.
Before investing further in AI, it matters to know whether processes, data, systems and responsibilities are sufficiently in place. The AI Operations Audit gives you an independent view of where you stand and which step logically follows.