Augmented experts
We are looking for senior experts for a critical Data or AI project.
Senior people who arrive equipped.
Programme direction, PMO, project management, business analysis, data science, data engineering: our consultants work on your critical Data and AI projects, with a clear vertical and four AI skills.
Which profiles do you offer?
- Checks the verticals
- Groups by family
Two families, one standard: seniority. And for each of them, AI on top.
Our profiles
DirectoryProjects and programmes
- Programme direction
- PMO
- Project manager
- Business analyst
- Product manager
- Scrum master
- Customer success manager
Data and AI
- Data scientist
- ML & NLP engineer
- Data engineer
- Data architect
- BI analyst
What is a vertical?
An expertise the client can name, and showcase around them. Every consultant embodies at least one; verticals bring employees and freelancers together.
One expertise, one vertical
Framework- BusinessA functional domain mastered end to endCompliance, supply chain, sales…
- TechnologyA rare, demonstrable technical skillMLOps, Search & RAG, cybersecurity at scale…
- PersonaA role performed at a level few reachProgram lead, senior data engineer…
What a vertical produces
- A white paper that models the expertise and shows where AI transforms it
- Reusable frameworks and internal products: applications, agents
- Use cases that become Factory products
And AI, concretely, on the assignment?
- Rereads our proposals
- Does the maths
10% invested, 100% created.
At least 10% of assignment time goes to AI. It is written in our proposals and sold as such: the time AI gives back, your consultant puts back into expertise.
Where the time goes
Trade-offWhat AI takes over
- Steering-committee deck layout
- RACI, as-is, minutes
- Reporting and consolidation
- Tool roll-out
What your expert does with it
- Their expertise, and the vertical they embody
- Their stance: arbitrate, convince, reassure
- Their network, on your side and ours
What does an augmented expert look like on my programme?
Like a senior person who knows the ground, arrives with tools ready to deploy, and saves you time. The test is simple.
The augmented expert formula
Formula- Literacy
- Agentic
- Applications
- Coding
- I know the groundProgramme direction: its pitfalls, and the tools teams need.
- I arrive equippedAI tools ready to deploy for the client.
- The client gainsTime, and a programme that moves faster.
The test: the client can say what you do better than anyone.
What does it change for each role?
Jobs do not disappear. They are augmented.
What AI changes, role by role
Table| + | Role | What AI changes |
|---|---|---|
| Sponsor | gets answers faster, better supported, with an opinion that decides | |
| Project manager | orchestrates people and agents, arbitrates, secures value | |
| PMO | designs the programme’s augmented cockpit, anticipates instead of consolidating | |
| Business analyst | models the end-to-end process and prototypes it with AI | |
| Data scientist | industrialises agents and applications, and hands them to the business | |
| Developer | specifies, reviews and industrialises what AI produces |
How does an assignment start?
Simply. You describe the need; we come back with profiles from the right vertical; you meet them; the assignment starts, with its AI time.
Starting an assignment
Workflow- You describe the needContext, stakes, expected seniority
- We propose profilesSenior, from the right vertical
- You meet themYou choose who works with you
- The assignment startsEquipped, with its AI time
Let’s talk about your need.
A few lines are enough to start: the context, the stakes, the seniority you expect.