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An AI situation report for management and board in 30 working days
When AI activity increases, a tool list is not enough. What matters is which initiatives make economic sense, which prerequisites are missing, and which risks have to be clarified before implementation.
Entry point
An AI situation report for management and board
In 30 working days, diffuse AI activity becomes an AI situation report for management and board. It shows which initiatives have substance, where data, processes, or responsibility are missing, which risks need to be clarified first, and which next steps are economically justifiable.
The mandate does not replace internal IT, data, or domain teams. It consolidates their assumptions, makes dependencies visible, and translates demos, individual initiatives, and control questions into a document for the leadership circle.
When it makes sense
For companies where AI is already running or is seriously discussed, but the leadership decision is not yet sufficiently prepared. Typical signals are pilot projects, tool pressure, departmental initiatives, shadow AI, unclear responsibility, or uncertain prioritization.
What is examined
- ongoing AI initiatives and shadow use
- relevant use cases by value, data situation, risk, and feasibility
- gaps in data, processes, controls, and responsibilities
- economic levers, control effort, and implementation risks
- model, vendor, and operations questions, where relevant to the situation report
What you have after 30 working days
- an AI situation report for management and board
- a prioritized use-case portfolio
- a readiness assessment of data, processes, organization, and governance
- a risk overview with open points to clarify
- a proposal for the next 90 days
When it doesn't fit
When the main need is a tool demo, pure implementation, prompt training, or detailed engineering. Then vendors, training partners, or engineering teams are closer to the task. The situation report fits when a management decision is missing or needs to be secured before implementation.
The entry point is deliberately limited: after 30 working days there is no general AI roadmap, but a situation report with priorities, open prerequisites, and a proposal for the following 90 days.
Context
What the assessment is based on
The work combines leadership experience, closeness to IT, and an entrepreneur's perspective. It is independent of license, tool, and implementation interests. Recommendations follow the situation, not a license or implementation goal.
30+ years
Leadership and IT experience in which technology was always also a question of organization, cost, and operations.
Entrepreneur's perspective
Building, exit, negotiation, and personal accountability for decisions shape the view on effort, pace, and risk.
Group and M&A
Experience with corporate logic, integration, and change helps to assess AI as an intervention in processes and responsibilities.
Independent
No ties to licenses, platforms, or implementation partners. The situation report can also conclude that something should not be started.
Decision framework
What makes an AI situation report decision-ready
An AI situation report is not a report for individual functions. It brings together the questions that must be answered at the same time before a leadership decision: where value arises, what is ready for implementation, what can be operated responsibly, which guardrails apply, and what must be decided now.
Different roles draw different consequences from it. The basis stays the same. Otherwise separate views emerge: an economically plausible case without a data basis, a technically clean pilot without a value logic, or an approval without an operating model.
Value
Which use cases really change cost, lead time, quality, risk, or revenue? The situation report separates usage signals from economic impact and makes visible which baseline values are missing before a pilot.
Readiness
Which prerequisites already hold, and which slow down any scaling? Examined are data access, process clarity, roles, skills, integration effort, and the question of whether the use case needs more than a tool.
Operability
Can the approach run cleanly after the demo? This includes permissions, model and vendor choice, monitoring, test cases, cost control, support, logging, and how errors are handled in live operation.
Governance
Which use is approved, limited, or not justifiable? The situation report arranges data, risk classes, human review, vendor dependency, auditability, and regulatory obligations into a form that leadership can decide on.
Leadership decision
At the end there is no general AI roadmap, but a choice: start, stop, limit, deepen, or first create prerequisites. The 90-day proposal records which next step is justifiable at which risk.
These dimensions follow the same working logic: first identify use cases, then test them economically, clarify governance before going live, and address model or vendor questions where they change value, risk, or operations.
Trigger
When an AI situation report is due
AI becomes a leadership question when budget, risk, data access, and organization are affected at the same time. The typical starting point is not a lack of ideas, but a lack of comparability.
Much activity, little overall picture
Departments test tools, IT handles requests, individual pilots run. At leadership level, a shared view on value, effort, and risk is missing.
Pilot pressure before a maturity check
A use case looks attractive, but baseline values, data access, process ownership, or operations questions are open.
Risk without ownership
Data protection, information security, the EU AI Act, vendor choice, and shadow AI are discussed, but not yet translated into a leadership decision.
An external view does not replace internal responsibility. It makes assumptions, conflicting goals, and open points visible that are often spread across several internal functions.
Approach
What I take on in the situation-report mandate
The work is tightly scoped: take in existing information, test assumptions, sort options, and condense the document so that the leadership circle can decide.
Evaluate material and conversations
Ongoing initiatives, internal assessments, process information, data situation, risks, and open questions are brought into a shared picture.
Classify use cases
Use cases are compared by economic impact, data situation, process proximity, control needs, and operating effort.
Check prerequisites
Data access, responsibilities, controls, model and vendor questions are examined more deeply where they block a start or change the risk.
Condense the decision basis
The result is a clear choice: which initiatives start, which are stopped, which prerequisites are missing, and what to do in the next 90 days.
After the situation report
What is decided after 30 working days
The situation report is the entry point, not the prelude to even more analysis. After it comes a management decision: what is begun, what is ended, what first needs better prerequisites, and where a follow-on phase makes sense?
Start, stop, or limit
Initiatives receive budget, are deliberately ended, or stay limited when value, data situation, or control effort argue against scaling.
Create prerequisites
Data access, roles, process clarity, permissions, test cases, or guardrails are built specifically when they are missing before a pilot.
Define a follow-on phase
A 60- or 90-day follow-on phase then has a concrete brief: prepare a pilot, anchor guardrails, lead a program start, or close critical gaps.
60 and 90 days are therefore not an extension of the situation report. They are optional follow-on windows after the decision.
Further reading
What I analyze and publish on an ongoing basis
Next step
Discuss the situation report
The next step is a brief clarification: which AI activity is already running, which leadership question is pending, and whether the 30-working-day situation report fits.