Training · AI for Management

AI for management — tools, models and the value in between.

Eight hours, in person or via Teams, for managers and directors. Practical, sceptical and hype-free — the where, the which, and the how of putting AI to work in the business.

Next cohort: second half of October 2026 · via Teams · Registrations open
8 hours
In person or via Teams · 1 day or 2 half-days
≤ 10 seats
Small, discussion-led room
6 modules
No technical background
DGERT
Certified via 2siglas

This eight-hour programme helps managers and business leaders understand where AI creates value in the firm, which tools and models matter, and how to implement them without losing clarity of management. It is built around practical use, not hype.

Who it’s for

Built for decision makers

This is a management programme, not a technical course. It is for people who have to decide where AI belongs, what it should touch, and what should stay human.

Audience
Managers, directors, and staff with responsibility for decisions that matter.
Prerequisites

Experience in management or organisational decision-making. No technical background in AI, statistics, or programming is needed.

The room

Up to 10 participants. Small enough for proper discussion, practical exercises, and decisions that stay real

Learning outcomes

What you’ll be able to do by the end

01Identify where AI can improve decisions, processes and resource allocation.
02Distinguish automation, decision support and strategic use of AI.
03Recognise the main AI models and what each is actually for.
04Evaluate which tools make sense in different business contexts.
05Turn AI ideas into concrete, defensible business cases.
06Apply the practical steps needed to implement AI with value and governance.

The programme

Six modules, eight hours

The time is weighted towards modules 4–6, where the work becomes more practical. Modules 1–3 are shorter and mostly expository.

01

Why AI matters for management

AI is becoming a platform for business innovation, not just another technology layer. The question is where it changes value creation, decision-making, and resource allocation.

40 min
Exposition + discussion
02

What AI can do for the firm

Efficiency, anticipation, automation, risk reading, and better decision quality. The point is business impact, not features.

50 min
Exposition + case
03

What AI can do for you

Productivity, analysis support, synthesis, writing, and decision preparation. AI here is a working partner, not a novelty.

50 min
Exposition + exercise
04

Tools and models

Large language models, RAG, machine learning, forecasting, anomaly detection and agents. What each model does, where it fits, and where it does not.

85 min
Exposition + exercise
05

Implementation in practice

How to choose a use case, assess maturity, define governance, avoid scattered pilots, and move from test to scale.

80 min
Exposition + exercise
06

Practical cases

Delegation, metrics, knowledge assistants, cash-flow forecasting, spend control, scenario simulation, and agents, worked through in groups.

90 min
Group exercise

Module 6 · Practical cases

Concepts brought back into real management settings

The programme ends with cases managers will recognise immediately. Each one is there to test whether the earlier ideas survive contact with real decisions.

Informal delegation

Work shifts to AI before anyone has made a conscious decision to delegate it.

Wrong metrics

AI is good at optimising the wrong thing, too.

Internal knowledge assistants

Company knowledge, made usable.

Cash-flow forecasting

Spotting a cash problem while there is still time to act.

Spend control

Finding the spend that actually matters.

Scenario simulation

Stress-testing a decision before it becomes irreversible.

Agents in the workflow

Where agents help, and where they should stay out.

Every case is framed as a decision, not a demo — because that is where the value sits.

Format & logistics

Eight hours, in person or via Teams, kept small

Next cohort
Second half of October 2026 · delivered via Microsoft Teams

Registrations open now →

8 hours
In person or via Teams — one full day or two half-days.
≤ 10 seats
Small enough for real discussion and exercises.
PT / EN
Delivered in Portuguese or English.
Hands-on
Excel & Power BI Desktop in modules 4–6. No other tool needed in the room.
Block
Duration
Format
Opening & framing
20 min
Exposition
Module 1 · Why AI matters for management
40 min
Exposition + discussion
Module 2 · What AI can do for the firm
50 min
Exposition + case
Break
15 min
—
Module 3 · What AI can do for you
50 min
Exposition + exercise
Module 4 · Tools and models
85 min
Exposition + exercise
Break
15 min
—
Module 5 · Implementation in practice
80 min
Exposition + exercise
Module 6 · Practical cases
90 min
Group exercise
Synthesis & closing
35 min
Discussion
Total
480 min (8 h)

Total includes two short breaks. Lunch is additional when the programme runs as a single full day.

Certification

DGERT-certified, through our partner 2siglas

The programme carries formal DGERT certification, delivered in partnership with 2siglas — so the training counts, not just as a session, but on the record.

DGERT
DGERT certification
Recognised professional training
2siglas
2siglas
Certifying training partner

Delivered by Swell — Power Platform & AI training and consulting, led by Nuno Nogueira, founder of Swell and author of A empresa inteligente.

Bring this programme to your management team.