Greenworking - Structuring uses of generative AI

Going from experimentation to business adoption!

Consulting firm, certified training organism and research institute, Greenworking accompanies companies in their cultural, managerial and organisational transformations.

Already involved in generative AI usage, the teams wanted to take the next step: identify high value uses, structure practices and create AI assistants tailored to the firm’s business practices.

Generative AI uses already existed at Greenworking, focused around ChatGPT, Perplexity or Copilot. However, they remained heterogeneous depending on profiles, professions and maturity levels.

The challenge wasn’t to discover AI, but to transform individual uses into a collective secure approach, that directly benefits the firm’s activities.

« We need to go fast, as fast as AI, which means spending time on it. »
« The absence of a specialised Greenworking generative AI is a real topic for us. »
« We need AI usage to help save time and work better, without preventing us from thinking for ourselves. »

Our proposal

To support Greenworking in structuring its AI uses, drawing from real team uses to identify priority use cases, formalise recommendations and create the first business-specific AI assistants.

The goal: enable the collaborators to rely on generative AI in their day-to-day works, all while maintaining their high standards for quality, confidentiality and critical judgement essentiel to the consultancy sector.

How?

Framing the mission: Kickoff meeting, identifying key profiles to interview, defining themes to be explored, approving the intervention schedule.
Understanding key field uses: Interviews with 13 Greenworking employees, in 3 appointments, to analyse existing uses, irritants, encountered limits and opportunities in consulting, training, commerce, workplace, HR and data.
Prioritising AI use cases: Qualifying uses according to their business value, feasibility, risk, documentary requirements and their mutualisation potential on a firm-wide scale.
Creating the first business AI assistants: Conceiving and testing specialized GPTs, designed to help the teams with recurring tasks: analysing project specifications, pedagogical design, business preparation or deliverable structuration

Deployed AI uses:

For training: A work assistant dedicated to pedagogical design, capable of transforming a brief into a training program, synopsis, evaluation questionnaire and animation guide, all while respecting Greenworking methodology and standards.
For business: An assistant specialized in project specifications and commercial briefs, capable of identifying stakes, structuring responses and accelerating business proposal preparation.
A client project template: A reusable ChatGPT project structure for each new assignment, integrating reference documents, specific instructions and memory of past exchanges, to centralise knowledge and ensure work continuity throughout the project.

Our role

Beyond assistant delivery, our added value came from generative AI adoption support: starting from business practices, securing uses, capitalising on best practices to make teams autonomous.

Consulting and support on AI applications: analysis of field practices, assessment of use cases, feasibility and limitations.
Business AI assistant design: creating and testing GPTs and specialised instructions (pedagogical design, business preparation, project specification analysis, deliverable structuration).
Knowledge transfer: teams conceive and design their assistants themselves.

Results

An audit of uses led through 3 sessions, with 13 employees ;
A clear cartography of existing AI uses, prioritising case uses with added business value ;
First specialised AI assistants to support the firm’s business ;
A better capitalisation of practices, prompts and reference documents ;
A secure process, compatible with confidentiality issues and consulting quality.

Greenworking thus transitioned from a logic of individual experimentation to a collective approach: prioritised use cases, work assistants and teams gaining autonomy, where AI becomes a lever for productivity, creativity and knowledge capitalisation.