# AI for administration and management control

Practical corporate course for applying AI to finance and management control, with exercises on realistic work, reusable materials and clear governance criteria.

- Duration: 4-6 hours, customisable
- Mode: In-person or online lab, with guided exercises and materials adapted to the client.
- Profile: For managers and non-technical teams; no programming required.
- Final output: Operating canvas for finance and management control.
- Choose it if: When the company wants concrete progress on finance and management control and needs training that produces usable workflows, not abstract theory.

## The problem it solves

Companies often approach finance and management control through scattered experiments: a few prompts, a few enthusiastic users, many doubts about data, quality and responsibility. This course turns that uncertainty into an operating method. Participants work on realistic scenarios, learn where AI helps, where human review remains essential and how to make the practice repeatable inside the company.

## Audience

For managers and non-technical teams; no programming required.

## When to choose it

Choose this course when the company wants concrete progress on finance and management control and needs training that produces usable workflows, not abstract theory.

## Concrete outcomes

- Map the work and the decisions where AI can reduce friction.
- Build practical instructions, checklists and review criteria.
- Identify data, privacy and responsibility boundaries.
- Create reusable examples for the team.
- Define next steps for adoption and governance.

## Program

### 1. Process map

Recurring work, documents, decisions, exceptions and handoffs.

### 2. AI-assisted outputs

Summaries, classifications, draft responses, reports and checklists.

### 3. Workflow controls

Review, escalation, traceability and responsibility.

### 4. Operational adoption

Metrics, materials, routines and governance.

## Practical exercises

- Map a realistic process connected to finance and management control.
- Create AI-assisted outputs and review them critically.
- Define escalation and human review points.
- Build a reusable checklist for daily work.

## Materials delivered

- Operating canvas for finance and management control.
- Prompt and instruction templates.
- Quality and privacy checklist.
- Risk/control matrix.
- Adoption notes for the team.

## Data, privacy and limits

The course uses synthetic, public, anonymised or client-approved materials. It explains how to minimise data exposure, protect confidential information, verify outputs and keep human responsibility explicit.

## Prerequisites

No programming required. Familiarity with the business process is useful.

## FAQ

### Is the course tool-specific?

No. Patterns and workflows are adapted to the tools and policies chosen with the client.

### Can company data be used?

Only when accounts, contracts and internal policies allow it. Otherwise synthetic or anonymised data is used.

### What remains after the course?

Reusable materials, examples, checklists and a clear set of next steps.

### Is it theoretical?

No. The course is built around practical exercises and decisions close to real work.

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