Artificial Intelligence & Agentic AI
Which AI use case deserves the next step?
IN BRIEF
AI consulting connects concrete tasks with suitable AI and automation solutions. Technical possibility is only one consideration: value, data quality, control and integration into existing work are equally important.
When to involve us.
When AI ideas lack clear priorities, or a pilot has no reliable path into operations, explicit selection and evaluation criteria help.
We compare use cases by expected value, feasibility and risk. A focused pilot needs success criteria, defined data access and human oversight. The outcome may be scaling, reworking the approach or deliberately stopping.
What the work produces.
We agree on the scope around your goals, starting point and available capacity. The following elements illustrate what an engagement can include.
WHAT WE ADDRESS
- AI readiness and use-case prioritisation
- AI assistants, agentic AI and pilot projects
- Integration with existing tools and data
- AI governance and practical adoption
POTENTIAL OUTPUTS
Prioritised applications, an evaluated pilot and clear conditions for responsible scaling.
A focused starting point.
A concrete task, examples of the data required and the responsible process owners. Information security and privacy requirements are considered early; sensitive data is not needed for the first conversation.
The question first. Then the scope.
The first conversation clarifies the objective, deliverables and people involved. We agree whether the engagement covers design, pilot support or technical implementation, who takes on each task and how the deliverables will be assessed.
Discuss a starting point by emailWhen is AI appropriate, and when is conventional automation enough?
When rules are clear and inputs predictable, conventional automation is often easier to operate and verify. AI may be useful when work involves unstructured content or situations that vary significantly. The decision should consider value, tolerance for errors, available data and ongoing costs. A pilot therefore needs more than a technical demonstration: it needs comparison criteria, human checkpoints and conditions for stopping. These make it possible to judge whether the solution belongs in everyday operations.
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