Why is the Energy Sector Scaling Up Its Use of AI?

Managing Complex Networks and Real-Time Optimization

With the rise of renewable energy and increasingly volatile flows, operators must make real-time decisions based on multiple data streams. Generative AI helps synthesize scenarios, draft alerts, and recommend corrective actions.

Managing and Capitalizing on Massive Volumes of Technical Documentation

Maintenance plans, safety procedures, incident reports, operating instructions… the volume of documentation is overwhelming. AI can automate search, summarize documents, and generate technical notes on demand.

Reducing Carbon Footprint and Boosting Energy Efficiency

AI can analyze consumption and production reports, energy cycles, and identify optimization levers, automate ESG summaries, or detect anomalies with high carbon impact.

Transferring Knowledge in Evolving Environments

AI enables operators and experts to structure and preserve critical know-how through reusable prompts, assisted summaries, and technical notes, ensuring operational continuity.

THE CHALLENGES OF AI DEPLOYMENT IN INSURANCE

Fragmented Adoption

Some departments are experimenting with AI, but many employees are left out due to a lack of concrete use cases or seamless integration into their daily tools.

Reinforced Governance & Compliance Requirements

Sensitive data, ISO standards, GDPR, sector-specific certifications… IT teams expect a secure framework before deploying intelligent agents.

AI Seen as a Gimmick

Without concrete use cases tied to daily workflows, AI remains low on the list of operational priorities. The key is creating value through tangible, embedded usage.

Complex IT Environments

GMAO, SCADA, SAP, proprietary tools… Every change seems risky or too costly. AI is often seen as just another layer to maintain.

But above all: transforming work habits at scale

“What made Mendo different was their lab-driven method. It helped us develop applied skills tied to our actual day-to-day challenges.”

Rémi Moniot

Head of Digital Transformation
Axens

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MENDO SOLUTION: YOUR PARTNER FOR GENERATIVE AI ADOPTION

Fully integrated into your AI ecosystem

Native compatibility with all major generative AI platforms (ChatGPT, Microsoft Copilot, Gemini, etc.)

No need to change your current infrastructure ; Mendo connects directly to your existing interfaces for smooth adoption.

Personalized user journeys

Memory anchoring: Hands-on exercises directly tied to your business use cases (claims handling, underwriting, pricing, fraud detection, etc.).
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Use-driven approach: each training module leads to the creation of a reusable “business prompt” that can serve as the foundation for an AI agent.

Performance tracking: monitor adoption progress and support your most advanced teams.

Proven support framework

50+ deployments with clients to ensure maximum impact.

Continuously updated labs to keep teams trained on the latest generative AI techniques.

WHY MENDO IS YOUR GENERATIVE AI EXPERT?

Custom-fit approach

Each employee follows a path built around their actual role (claims experts, sales, marketers, etc.) and AI maturity level.

Seamless integration

Mendo installs directly into Office 365, internal chat tools, etc., for “as-a-service” adoption.

Fast, measurable ROI

Move from theory to scaled, supported impact in just a few weeks.

Are you working in the Energy sector?

Don’t let your teams miss the generative AI shift, request your custom Mendo demo today.

Boost generative AI adoption across your teams

Mendo helps companies turn generative AI into a daily reality for their teams.

Tomorrow, generative AI will be every employee’s most valuable teammate. Start empowering your teams today.

Mendo is an integrated solution that supports every user, at their own pace and skill level, in tools like ChatGPT or Microsoft Copilot, helping them adopt relevant use cases in their daily work.

In just a few months, accelerate generative AI adoption across your organization and unlock up to 40% productivity gains in everyday tasks.

Accelerate Generative AI adoption in the Energy Sector