We focus on two pillars because breadth is cheap and depth is what mid-market buyers actually need. Each can be bought as a sprint, a fractional engagement, or a full project.
Cloud cost discipline and AI unit economics — for teams who need to know what their Azure OpenAI bill actually represents.
Senior architecture, governance, and enablement. For organizations that need perspective before they need execution.
Our self-hosted multicloud FinOps platform: cost visibility, allocation, optimization, AI tokenomics and governance across public cloud, SaaS, data center and data cloud platforms. Also available to MSPs through partner programs.
Most real AI work doesn't fit neatly in one pillar. The AI Solutions engagement takes a customer from idea to operating model: brainstorm the problem, educate the team, build the solution, set up the CoE so it keeps working after we leave.
1–4 weeks, fixed scope. Best when you have a specific question that a seasoned operator can answer fast — e.g., "is our Azure OpenAI spend defensible?"
Ongoing monthly retainer. Best for teams that want senior FinOps or AI-economics capacity without hiring a full-time head.
Scoped Statement of Work with named deliverables. Best for the signature AI Solutions arc or a CoE build.
