Put one managed control layer between your applications and AI models to track spend, manage access, enforce usage rules, and operate AI with clear ownership.
Teams often adopt AI one application, provider, and API key at a time. Costs become difficult to attribute, access survives beyond its intended purpose, usage rules differ between projects, and nobody owns the operational view. A shared control layer creates visibility and enforceable boundaries without requiring every application to solve the same problem again.
Choose a paid pilot, a production implementation, or ongoing operational care. A tailored proposal is confirmed before work begins.
Prove the operating model on one real application before committing to a wider rollout.
Deploy the production control layer with the access structure and policies your team needs.
Keep the control layer observable, reviewed, and maintained within an agreed service allowance.
Connect one application, establish the first access policy, and produce a real usage and cost report.
Add the agreed project structure, credentials, limits, routing, documentation, and operational ownership.
Test access paths, budgets, reporting, failure behavior, and the team handover against acceptance criteria.
Monitor the service, report on usage and exceptions, and deliver a bounded monthly allowance of agreed changes.
Companies using more than one AI model or provider
Software teams that need project or client cost allocation
Organizations replacing shared API keys with controlled access
Leaders who need a practical first step toward AI governance
References inform the assessment and design. They do not replace requirements specific to your organization, sector, contracts, or jurisdiction.
Yes. The paid pilot is deliberately limited to one application. It creates the first controlled access path, usage and cost evidence, and a concrete rollout decision without requiring a company-wide migration.
No. Applications can be migrated in stages. The first integration establishes the operating pattern; later applications can adopt it when there is a clear owner, scope, and acceptance plan.
The client normally pays AI provider and infrastructure charges directly. This keeps consumption visible and separate from the implementation or managed-care fee.
No. The monthly service defines monitoring, reporting, response expectations, and a fixed allowance for agreed changes. Additional project work is estimated separately so the operating cost remains predictable.
Share the objective, current system or process, and the decision you need to make. We will respond with the information needed to define scope.