A leading energy company lifts workforce productivity by 28% by enabling employees to apply generative AI to writing, analysis, and knowledge work across the enterprise.
At a glance
Success Highlights
- 28% improvement in workforce productivity
- 80% of employees using generative AI in their regular work
Related Services and Solutions
- AI Adoption
- AI Governance
Challenge
A leading energy company saw the promise of generative AI but struggled to translate it into real productivity gains. Employees were experimenting with the technology on their own, yet without guidance, governance, or shared know-how, the results were inconsistent and the value uncertain.
Several barriers held the organization back:
- Employees lacked the skills to use generative AI effectively for their actual work.
- Concerns over data security and accuracy left many hesitant to rely on it.
- Without shared practices, useful techniques stayed siloed instead of spreading across teams.
Looking to turn early curiosity into measurable productivity, the client sought to enable its workforce to use generative AI confidently and safely.
Solution
AIHugger partnered with the client to design and deliver a generative AI enablement program, pairing practical skills with the guardrails the energy sector requires. Our approach centered on four pillars:
Use-Case Identification
- Identified the writing, analysis, and knowledge tasks where generative AI delivered the most value.
- Prioritized use cases by impact and suitability across roles.
- Established a productivity baseline to measure improvement against.
Skills & Training
- Delivered hands-on training on effective prompting and practical application.
- Tailored learning to the real tasks of each role and function.
- Built employee confidence to use generative AI well and judge its output critically.
Safe Usage & Guardrails
- Established clear policies for safe, responsible use and data protection.
- Defined what generative AI should and shouldn’t be used for.
- Gave employees the confidence to use it within well-understood boundaries.
Scaling & Sharing
- Created shared prompt libraries and resources so wins spread across teams.
- Established internal champions to sustain momentum and support peers.
- Transferred the program so the organization could keep enabling its people over time.
By pairing practical skills with clear guardrails, the program gave employees the confidence to use generative AI well, turning scattered experimentation into consistent, measurable productivity.
Outcomes
The enablement program turned generative AI from a curiosity into a daily driver of productivity across the workforce:
28% productivity improvement: Applying generative AI to writing, analysis, and knowledge work measurably lifted output across the workforce.
80% employee usage: The large majority of employees adopted generative AI as a regular part of their work.
Confident, responsible use: Clear guardrails let employees rely on generative AI without compromising data security or accuracy.
A self-sustaining capability: With shared resources and champions in place, the organization could keep enabling its people without ongoing outside support.
By equipping its workforce to use generative AI confidently and safely, the organization unlocked lasting productivity gains, setting a new standard for how energy companies put generative AI to work.