Direction
Where to go, and within what limits
AI consulting, implementation and training
Equipping people and organisations to get the most out of artificial intelligence, through natural intelligence.
The decisions, the judgement and the relationships that only people have.
Introduction
Manuel Faria
I came up through engineering. I am curious, an enthusiast of technology and passionate about learning. Even so, what moves me is people, and keeping human the things that should stay human. I spent the last eleven years at Microsoft helping modernise the largest organisations in Portugal, and I have worked in artificial intelligence since it started reaching everyone.
Working with AI has made me more aware of how much human skills matter, and how singular each person is. The more capable the tool becomes, the more the result depends on the judgement of whoever uses it, and the more it matters that the thinking stays with the person deciding.
Today I work so that people and organisations grow their own capability with AI, drawing on the assets only they have and on their own way of thinking about the business.
At a glance
- Led the M365 Copilot Early Access Program at three of the six largest companies in Portugal, between 2023 and 2024.
- More than 100 in-person sessions with Enterprise customers.
- Microsoft Certified Trainer (MCT).
- Prosci certified in change management.
- Master in Electrical and Computer Engineering, Instituto Superior Técnico.
Método Arco
The target is defined before the tool is fired.
Four phases, each with a question and a deliverable. The last question is whether the organisation can carry on alone.
Which decisions weigh most on the business, and which indicator do they move?
Target Charter: indicators, measured baseline and definition of success, validated by the client
Where does AI actually move the indicator, and where does the work stay human?
Use case plan with an estimated return, and the list of what stays human
How does this become normal everyday work?
Solution in production, team trained and the new process documented
Did the indicator move, and can the organisation now carry on alone?
Impact Report with the indicator before and after, and an autonomy plan
- Target
Which decisions weigh most on the business, and which indicator do they move?
Target Charter: indicators, measured baseline and definition of success, validated by the client
- Aim
Where does AI actually move the indicator, and where does the work stay human?
Use case plan with an estimated return, and the list of what stays human
- Draw
How does this become normal everyday work?
Solution in production, team trained and the new process documented
- Follow-through
Did the indicator move, and can the organisation now carry on alone?
Impact Report with the indicator before and after, and an autonomy plan
Guiding principles
- Decisions come before tools.
- What should stay human is defined up front.
- Impact is measured in business indicators.
Programmes
Three families, depending on the problem.
Direction, to decide where AI comes in and where the work stays human. Capability and Cost, to raise what the organisation is able to do and lower what it costs to do it.
The first step is a conversation.
Say what needs to move in the business.
Book a conversation