Case Study: ID Capture
Aligning advanced tech teams with an organisation starting from scratch
Situation
ID Capture, a Paris-based SaaS vendor for the property sector, wanted to accelerate the adoption of generative AI across the whole organisation. The difficulty was not the absence of usage but how uneven it was: the technical teams were already very advanced with Claude Code, while the rest of the company was just starting. A one-size-fits-all training session would have bored the former and lost the latter.
Objective
Harmonise practices between audiences with very different levels, without levelling down: lay a shared foundation of understanding, then work through the business use cases specific to each team, and hand participants what they need to continue on their own.
Audiences trained
3
Sector
Property SaaS
Format
Shared core + sessions
Deliverables
Prompts and templates
Process
Shared foundation
A common base for the whole company: how the models work, usage rules and prompting fundamentals, so that every team shares the same vocabulary before the specialised sessions.
Team-by-team sessions
Three audiences handled separately, product/tech, sales/CSM and support, with each session built around concrete business use cases rather than adapted from a single deck. Delivered by Laurent Rajca.
Material handed over
Reusable prompts and practical templates matched to the sector's challenges, given to the teams for autonomous use after the engagement. Commercial framing beforehand by Rémi Vancayzeele.
Results
Collective skill development, from complete beginners to already advanced teams
Use cases identified during the sessions and reused to feed the company's AI roadmap
Momentum created across the whole company, not within a single team
Reusable prompts and templates handed to participants
Teams left autonomous at the end of the engagement, with no dependency on the trainer
Testimonials
- We called on MAIJIN to accelerate the adoption of generative AI at ID Capture, with a considerable challenge: harmonising practices between our tech teams (already very advanced with Claude Code) and the rest of the organisation, which was just starting. Laurent was a remarkable trainer. His teaching approach worked perfectly: a solid shared foundation to set the basics, then team-by-team sessions built around concrete business use cases. No abstract theory, but reusable prompts, practical templates, and above all a real understanding of our challenges in the construction sector. What struck me in particular: the ability to adapt the content to each audience (product/tech, sales/CSM, support) without ever falling into "consulting that solves it in your place". Laurent gave us the method and the tools to carry on independently. Beforehand, Rémi was an excellent commercial contact: responsive, attentive, and able to build a proposal that fitted our organisational context exactly. The result: collective skill development, use cases identified to feed our AI roadmap, and momentum launched across the whole company. I warmly recommend MAIJIN to any organisation that wants to deploy AI pragmatically and effectively. (Denis Sevêque, Chief Executive Officer, ID Capture)
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