Fast Discovery
90 days elapsed, on site and remote
- 28 opportunities mapped, 5 pilot-ready
- A roadmap and the business case
ContactNow working for you. Ship AI. Deliver outcomes. Keep control.

Senior leaders, 20 to 25+ years each. Founded and led the AI and automation practices at McKinsey and EY. Built one of the largest automation footprints in the world, at HP, IBM and DXC.
Who does the work, and from where








From the people who wrote the books on AI and automation
Books, patents and recognized roles. A senior member of this team runs your first conversation.
Intelligent AutomationBy Pascal Bornet, Ian Barkin and Jochen Wirtz
Agentic Artificial IntelligenceBy Pascal Bornet and co-authors
The A to Z of Generative AIBy Kieran Gilmurray and Olivier Gomez
IrreplaceableBy Pascal Bornet
The Human-Agent OrchestratorBy Pascal Bornet and co-authorsOur CEO is a former Chief Automation Officer and co-author of The A to Z of Generative AI. Our CSO wrote Intelligent Automation and Irreplaceable. See the books →
One team you deal with. Behind it, the capacity you need.
A core team close to you, engineers in four hubs, and a wider network when you need more.


IndiaLead: Mario Dominic
PhilippinesLead: Fred Borras
PortugalLead: Pedro Martins
SlovakiaLead: Roman OrlovOur engineers hold certifications from AWS, Microsoft Azure, Google Cloud and Databricks.
Specialists in analysis, data, BI and UX, and a wider network of partners and vetted freelance experts when you need more. Engineers in 30 days or less →
One delivery model for every pillar: advice, projects, engineers and managed services run from the same team and hubs.
One client, one journey: from discovery to a technology center
Case study 01 · Global engineered-textiles manufacturer · Client anonymized under NDA
90 days elapsed, on site and remote
8 weeks, 5 workstreams
Now: build phase
Each engagement is its own decision. The client moves on to the next one on the results of the one before, with the same team.
Eight of ten industries already served, one method
Different industries, the same problem: AI value leaks between the idea and the P&L. Where we have no case yet, the method applies the same way.
Pharma and medical devices
Same method, no case yet
Airline: AI agent
Same method, no case yet
CS = one of our nine case studies, clients anonymized under NDA. All nine case studies and their results →
We do not do everything. We find exactly what you need. We start from 1,000+ proven use cases, fit them to your context and criteria, then one team builds and runs what pays.

1,000+ proven use cases from our portfolio, across back, mid and front office.

Your processes, systems, data and people. We assess them first.

Value, evidence, feasibility and risk. You set the bar.

The few use cases worth doing now, each with a business case. Then one team builds and runs them.
A few things, done very well: find what pays from proven evidence, then one team builds and runs it.

Three ways to work with us. You choose, need by need.



What you get, how you buy and what you keep: How we deliver →
Bring us one problem. A senior member of the team runs the first conversation.