When does an audit make sense?
When there are several possible workflows, uncertainty about data availability, quality or access, or a need to align management, the process owner and IT around one initial use case.
engineering autonomous
A clearly scoped decision framework before you invest time in an app, agent, integration or conventional automation.
When there are several possible workflows, uncertainty about data availability, quality or access, or a need to align management, the process owner and IT around one initial use case.
Deliverable
Current steps, responsibilities, handovers and points of failure.
Deliverable
Use cases ranked by value, complexity, data readiness and risk.
Deliverable
A proposal for an app, agent, integration, conventional automation or a combination.
Deliverable
Scope, testing, acceptance criteria, approvals and open questions.
An audit is not an automatic order for implementation. After the review, the client decides whether a use case should be stopped, clarified further or advanced to a proof of concept.
An audit does not require a large project, but it does require the right people: a process owner who knows the workflow in practice, a decision-maker who can prioritise, and, for workflows involving several or business-critical systems, someone with knowledge of IT and access rights.
The inputs are equally practical: examples of the task (preferably anonymised), the systems and documents involved, known failure scenarios and an overview of where time is currently spent. If no documentation exists, we map the process together in the workshop.
Candidates are assessed across four dimensions: expected value (time, quality, risk or throughput), complexity (rules versus interpretation), data readiness (whether the necessary data exists and may be used) and operational risk (what happens when the solution is wrong).
The best first use case is rarely the largest. It is the one where value is measurable, the data is available, and the consequences of errors can be managed through drafts or approvals.
The audit is not implementation, and it does not change your systems. Nor is it a generic AI strategy report: the outcome is specific enough to support the next decision, but it does not promise results that have not been tested.
Factors that may stop or change a use case are documented openly: insufficient data quality, lack of access to sources, unresolved GDPR matters, a process that is genuinely unclear, or a benefit that does not justify the operating cost. It is less expensive to identify these issues during an audit than during implementation.
Indicative price levels, also shown on the home page: Automation Audit Mini DKK 12,500–20,000 (1–2 workshops, process map, 3 prioritised use cases and a high-level ROI estimate) and Automation Audit Pro DKK 25,000–45,000 (roadmap, business case and technical solution outline as a basis for a PoC or implementation). All amounts exclude VAT. The final scope and quotation are agreed separately.
No. The audit provides analysis and a basis for decisions. Any system changes require a separately approved scope.
No. The right solution may be conventional automation, integration, process change, AI or a combination.
Indicative price levels are shown on the home page. The final scope and quotation are agreed separately.
Next step
Describe the task, users, data sources and desired output. We will then assess the simplest responsible route to a pilot.
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