25 HR employees designed 5 agents in one day, in the Microsoft environment already in place, then the Lab ranked their portfolio


In 2026, the AI Sisters Lab ran an Agent-a-thon for the HR function of TotalEnergies’ GRP branch.
The business teams built their agents themselves, with no extra tool. The Lab then assessed each agent and ranked the portfolio.
The goal: know which use cases are worth investing in before committing a budget.
The HR function was convinced AI could help, without knowing where to start or how to sort what was worth the investment.
The challenge for AI Sisters: surface concrete use cases and rank them on shared criteria.
Intranet, document spaces, emails: managers search, HR teams answer the same questions over and over.
No way to rank them before committing a budget.
The agents had to be built with the tools already in place, with no extra licence.
A useful agent relies on a verifiable source. A good prompt is not enough.
Your teams have ideas for agents, but nothing ships?
We run the Agent-a-thon and build the first agents with you.






A building day run by the Lab, between a scoping workshop and a committee review.
Choice of the HR pain points to tackle and set-up of 5 teams of 5 employees.
Use case, system prompt, deliverable generation, then connection to a knowledge base. Every round is scored.
Standardised input, standardised output, defined process, clear scope. The same framework for every agent.
Live demos by the agents’ creators, a ranked portfolio and recommendations to industrialise the best ones.

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All five agents start from a concrete pain point of the HR function.

→ Talent Review preparation from annual reviews
→ Personalised career path building
→ Strategic workforce planning
→ Manager toolkit: onboarding and development
→ Feedback and performance reviews
→ Answers on sensitive situations
→ Document assistant for the subsidiaries’ HR training teams
→ Hand-off to the central team when the agent cannot answer
The portfolio holds 3 Go first, 1 Quick win and 1 No go stated in writing. The manager toolkit now runs at the Trading Geneva entity. The Lab also named the main blocker: only one agent in five was connected to a verifiable source.
HR employees in 5 teams
agents built in one day
per week of estimated gains on the 4 selected cases
less time spent searching, measured on the manager toolkit
A support function full of AI ideas?
Let’s talk about an Agent-a-thon to sort your use cases before committing a budget.
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A programme built around your roles and your tools, pre-audit included.
Got it. An AI Sisters expert will email you to plan your AI training.
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An expert will reply to scope your AI training, with no commitment.

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