AI adoption in energy. From pilot projects to lasting organizational change
Most energy organizations have run AI pilots. Few have scaled them. The gap is not technical. It is organizational: mixed profiles, field and office populations, and no structure to turn individual experiments into shared practice.
Energy organizations need a different adoption model
Built for mixed populations
Mendo adapts to every profile: engineers, field technicians, support functions, and managers. Each gets a learning path built around their actual tasks, not a generic training program designed for desk workers only.
Inside the tools you already use
Mendo runs natively inside Copilot 365 and ChatGPT Enterprise. No new platform to manage. No disruption to existing systems. Adoption happens where work already happens.
Mendo Coach Agent
An AI-powered proactive coach available inside M365 to guide users in real time.
A path beyond the pilot
Most AI pilots in energy stall because there is no adoption infrastructure behind them. Mendo provides the structure, governance, and measurement needed.
2,8x
higher adoption rate
40%
of users deploy a business use case
Platform
How it works
A structured journey embedded in your existing tools. Continuous, measurable, designed for scale.
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Map readiness across business units
Mendo starts with an AI readiness assessment by function, site, and profile type. Understand where adoption can move fast and where it needs more support: before committing to a large-scale rollout.
Deploy learning inside existing tools
Each employee gets a path built around their role: network engineers, grid operators, HSE managers, finance teams. Everything runs inside Copilot 365 or ChatGPT Enterprise.
Scale what works across the organization
Use cases validated in one team or one site are documented, certified, and shared across the business. Individual learning becomes collective capability. What works in grid operations can reach procurement, HR, and project management.
Give leadership visibility on impact
Dashboards track activation, deployed use cases, and time saved by function and site. Your CDO and HR Director get the data to justify investment and plan the next phase with confidence.
testimonials
How organizations turn GenAI into impact
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"Mendo had a real differentiator with its lab approch, with formats of 3 to 10 minutes which allows, within this lab, to discover a concept or skill applied to a usage, often directly related to the profession."
Rémi Moniot, Digital innovation director
5% to 80% Recurring use case adoption
"Gen. AI is transforming our businesses, it is essential to support our teams in the adoption of these new uses and the development of new skills.
We chose the solution proposed by Mendo, which met our challenges in every way.
This initiative aims to make AI an asset for competitiveness"
Aurélia Le Baudour, Head of Innovation and Digital Transformation
NPS: 60
60%users use Copilot >3 days a week
"The main advantage of Mendo is that we really learn by doing."
Sandrine Delmas, Quality Director
x3the number of prompts sent
5use cases identified / user
FAQ
Common questions
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We already ran an AI pilot that stalled. How is this different?
Most pilots stall because they have no adoption infrastructure behind them. A good tool and a kickoff session are not enough to change habits at scale. Mendo provides the continuous structure, the gamification mechanics, and the measurement layer needed to sustain adoption over time not just for the first 30 days.
How does Mendo protect client confidentiality?
Mendo runs exclusively inside your approved environments: Copilot 365, ChatGPT Enterprise & Gemini. No data is processed outside your infrastructure, and Mendo has no access to your employees' work content. All usage stays within your existing information barriers and data governance policies. This is the same setup already approved by your IT and legal teams for those tools.
How does Mendo handle the diversity of roles in an energy organization?
Mendo builds separate learning paths for each role type. A network engineer, an HSE manager, and a procurement analyst have different AI leverage points and different daily tasks. Each gets a progression calibrated to their actual work — not a generic module shared across the organization.
How long to go from pilot to firm-wide deployment?
Most clients move from scoped pilot to firm-wide rollout within 3 to 4 months. The pilot phase, typically one practice or one office, runs 6 to 8 weeks and generates the adoption data and internal case study needed to build leadership buy-in for broader deployment. We support the full sequence from onboarding to scale.
How long does a typical deployment take?
Most clients complete onboarding within 2 to 3 weeks and reach the first measurable results within 30 days. Full-scale deployment across all functions typically runs over 3 to 6 months, depending on organization size and the number of distinct role profiles involved.
Let's get started !
Creating the foundations for human–AI collaboration
Mendo helps organizations drive high-quality GenAI adoption, measure impact, and prepare teams for agentic workflows.
