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📘 Corporate AI training: our free roadmap for a successful rollout
Download our AI roadmap★★★★★
4,9/5 sur Google
🔌 Connect Claude to Pennylane: our step-by-step setup guide
Download the Claude x Pennylane guide★★★★★
4,9/5 sur Google
ENGIE's GET programme surfaced its use cases during an Agent-a-thon, then turned them into agents used by its teams with the AI Sisters Lab.
use cases identified in one Agent-a-thon morning
from the Agent-a-thon to agents in production
to identify the equipment to isolate on a drawing page
on the translation costs of instructions
The staffing is outstanding, the team works incredibly hard, and AI is now at the heart of our department.
Huy Lê, Head of Program Management Office, GET programme, ENGIE
Before
Before each maintenance intervention, the equipment to isolate is identified by hand on large-format drawings.
With the AI Sisters Lab
An agent identifies the equipment to isolate automatically. Maintenance operations are better prepared.
Before
Every process document has to be translated, including the text in images.
With the AI Sisters Lab
Text and images translated into more than 5 languages, as editable PowerPoint. Translation costs divided by 10.
Before
The programme’s training content stays as presentations to read.
With the AI Sisters Lab
The Learning Coach has become the GET programme’s official training tool.
Before
SharePoint, Power BI, Jira, ServiceNow: teams search before they can work.
With the AI Sisters Lab
The adoption chatbot answers from GET University and ServiceNow content.
Since late 2024, the AI Sisters Lab has been supporting GET, the ENGIE group's transformation programme.
The journey began with a Copilot workshop and an AI Show. It continued with an Agent-a-thon, a 40-day Agent Factory, then an AI Factory running continuously since June 2026.
The goal: move from agent ideas to AI tools that the programme's teams actually use.
GET standardises the group's Finance, Procurement and HR processes around a single ERP, for 35,000 employees. Teams were hunting for information across SharePoint, Power BI, Jira and ServiceNow. Process documentation had to be translated into eight languages, images included.
The challenge for AI Sisters: find the right use cases, build the agents without waiting months, and put them in the teams' hands.
Teams were raising many needs, with no in-house expert to say where to start.
The programme moves in waves. Agents had to be ready in time to be useful, not after the fact.
Copilot Studio, Teams and Azure: the solutions had to fit the tools already in place.
After the first agents, an organisation was needed that could deliver new ones with each wave.
Your teams have ideas for agents, but nothing ships?
We identify your priority agents with you, then put them into production.
A Lab team embedded in the GET teams, with a review every Wednesday. The agents are built on the group's stack: Copilot Studio, Teams, Azure OpenAI and Gemini.
In 2025, a Copilot workshop and an AI Show for the Adoption teams. Then a chatbot built in Copilot Studio and rolled out in Teams, answering from GET University and ServiceNow content.
On 24 March 2026, a morning of agent building in Copilot Studio, in six rounds. The teams came away with 16 identified use cases.
From 21 April to 22 June 2026: audit at the end of April, POCs in May, MVPs in June. On 6 May, the Learning Coach was approved as an official programme tool. On 29 May, the first wave was presented with 4 POCs.
Since June 2026, two delivery teams, Finance and Procurement. Every project follows the same POC, MVP, adoption cycle, with a milestone review between each stage.
Want agents running in production?
Discover our support for building AI agents, from audit to adoption.
Each agent starts from a concrete pain point of the GET teams, with a business lead on the ENGIE side.
→ Quality control of Jira tickets
→ Jira agent for project tracking
→ ServiceNow reporting
→ Automated meeting minutes
→ Presentation translator, text and images
→ Learning Coach: scripts, videos and podcasts generated from slides
→ The programme's AI newsletter
→ GET adoption chatbot in Teams
→ Automatic identification of equipment to isolate on drawings, before on-site work
The Learning Coach has become the programme's official tool for its training needs. The automatic equipment identification has been in production since September 2026: it scans a large-format drawing page in 15 seconds.
A major transformation programme under way?
Let's talk about what an AI Factory can deliver to your teams with each wave.
Got it. The Lab team will email you to set up a first call.
Your email didn't go through. Check the address, or write to us at contact@aisisters.ai.
A Lab expert will reply to scope your AI agent project, with no commitment.
Data security and privacy
Every Lab project takes your security constraints into account from the scoping stage. Tools are built in your environment or on services covered by a data processing agreement (DPA): your data is not used to train models. Processing complies with GDPR and the EU AI Act.
A free 45-minute scoping session with a Lab expert.
Got it. The Lab team will email you to set up a first call.
Your email didn't go through. Check the address, or write to us at contact@aisisters.ai.
A Lab expert will reply to scope your AI agent project, with no commitment.
“Great training and a very practical audit: we are already seeing tangible gains.”
“AI Sisters supported 150 Webedia employees with truly exceptional shows and workshops. Extremely hands-on, and the productivity gains are already very measurable.”
“Two brilliant training sessions with AI Sisters. Titouan was excellent: highly personalised, relaxed and accessible. The team demystified a subject that seemed so complex. Thank you!”
“It was really great: AI Sisters supported the entire IT department with immediate impact. I recommend them 100%.”
“An unforgettable experience: dynamic, practical and directly useful day to day. The teams are still talking about it!”
“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.”
A few details to help us prepare your tailored Show. Our team will get back to you quickly.
Phone: +33 7 80 96 07 26
Address: 255 Boulevard Pereire, 75017 Paris
Email: contact@aisisters.ai
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