Private AI Platform for a European Energy Company

By the time the company's IT leadership sat down to define an AI strategy, AI adoption had already started, just not in a way anyone had sanctioned. Employees across the business were experimenting with public AI tools on personal accounts, sometimes pasting real work into them. Some teams had bought individual subscriptions. Nobody had a full picture of what was being used, by whom, or with what data.

Blocking AI outright wasn't a realistic option. The productivity gains were genuine, and employees who wanted the tools would find a way. But continuing to let AI adoption happen in the shadows was creating three distinct risks:

• Data exposure. Market-sensitive information, commercial terms, and operational data flowing into public services that could retain it or use it for training.
• Cost sprawl. A growing list of individual subscriptions across departments, with no procurement visibility and no way to negotiate enterprise terms.
• Missed opportunity. Knowledge and patterns that worked for one team stayed locked to that team. Every department was reinventing prompts and workflows from scratch.

The company needed a way to give the whole organization access to modern AI on their own terms, under their own governance, with their own data staying where it belonged.

We built ARC, a private AI platform that gives every employee a single, governed place to work with modern AI, and gives IT leadership the visibility and controls that a regulated enterprise needs.

ARC covers four pillars:

Unified access to multiple AI models. Instead of being locked to one provider, employees can choose the right model for the job. Frontier commercial models for complex reasoning, faster models for quick tasks. All through one consistent interface.

Data stays under the company's control. No prompts or outputs are retained by third-party providers for training. For the most sensitive workloads, queries are routed to models running entirely inside the client's own infrastructure.

Governance built in. IT leadership gets usage dashboards across teams, cost tracking per model and per department, and API key management for developer workloads.

A skill library that grows with the business. Employees can build and share reusable AI skills to the specific tasks their team does often. An admin approval workflow keeps the library curated, so good patterns spread across the organization and problematic ones don't.

The engagement continues as the platform expands to cover more business processes.