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Case studies

HR Agent-a-thon: TotalEnergies’ GRP branch builds its own AI agents

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

Agent-a-thon and qualified backlog · 2026
Maquette mobile des agents RH construits par la branche GRP de TotalEnergies : boîte à outils manager, Talent Review, compétences et formationRestitution en comité de l’Agent-a-thon TotalEnergies : 3 Go first, 1 Quick win, 1 No go, et moins 85 % de temps de recherche à Trading Genève

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.

Sorting a support function’s AI ideas

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.

Scattered policies

Intranet, document spaces, emails: managers search, HR teams answer the same questions over and over.

Plenty of ideas

No way to rank them before committing a budget.

Stay within the Microsoft ecosystem

The agents had to be built with the tools already in place, with no extra licence.

From prototype to tool

A useful agent relies on a verifiable source. A good prompt is not enough.

What if it were you?

Your teams have ideas for agents, but nothing ships?

We run the Agent-a-thon and build the first agents with you.

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Our Agent-a-thon method for the GRP branch

A building day run by the Lab, between a scoping workshop and a committee review.

01

Scoping workshop

Choice of the HR pain points to tackle and set-up of 5 teams of 5 employees.

02

A building day in 4 scored rounds

Use case, system prompt, deliverable generation, then connection to a knowledge base. Every round is scored.

03

An assessment on four pillars

Standardised input, standardised output, defined process, clear scope. The same framework for every agent.

04

A committee review

Live demos by the agents’ creators, a ranked portfolio and recommendations to industrialise the best ones.

Les six étapes de l’Agent-a-thon RH de TotalEnergies, de l’atelier de cadrage à la restitution en comité
What if it were you?

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Build my AI agents

AI use cases for the HR function

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

Bento de l’Agent-a-thon RH de TotalEnergies : 25 collaborateurs, 755 heures par semaine de gains estimés et 4 rounds notés

Talent and careers

→ Talent Review preparation from annual reviews

→ Personalised career path building

→ Strategic workforce planning

Managers

→ Manager toolkit: onboarding and development

→ Feedback and performance reviews

→ Answers on sensitive situations

Training

→ Document assistant for the subsidiaries’ HR training teams

→ Hand-off to the central team when the agent cannot answer

Results of the Agent-a-thon at TotalEnergies

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.

25

HR employees in 5 teams

5

agents built in one day

755 h

per week of estimated gains on the 4 selected cases

-85 %

less time spent searching, measured on the manager toolkit

What if it were you?

A support function full of AI ideas?

Let’s talk about an Agent-a-thon to sort your use cases before committing a budget.

Got it. An AI Sisters expert will email you to plan your AI training.

Your email didn't go through. Check the address, or write to us at contact@aisisters.ai.

An expert will reply to scope your AI training, with no commitment.

Client
TotalEnergies
Sector
Energy
About the client
HR function of the GRP branch of the TotalEnergies group.
Teams supported
25 HR employees, in 5 teams
Format
Agent-a-thon: scoping workshop, building day in 4 rounds, committee review
Period
2026
Tools
Microsoft environment already in place
Train your teams in AI

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.

Your email didn't go through. Check the address, or write to us at contact@aisisters.ai.

An expert will reply to scope your AI training, with no commitment.

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“A very dynamic, practical day, perfectly suited to our challenges. The teams came away with tools and ideas to put into practice the very next day.”

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They got their teams to adopt AI: Accor, La Poste, Samsung, JCDecaux, Vinci, Engie, Ipsen, Havas, BPCE, CMA CGM, TV5Monde, Webedia, Google 4.9/5
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