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Private, hands-on workshops with the toolkit maintainers

AI for FinOps

Configurations and guardrails for asking cost questions through the AI your org already runs.

You bring

The AI your org licenses, a hub with cost data, and a FinOps workload that eats your week.

We build together

Your AI connected to FinOps toolkit data through existing MCP servers, with the guardrails and checks that make its answers usable.

You leave with

A tested configuration and guardrail pattern for asking cost questions through your own AI, and the verification routine your team uses to catch an answer that is wrong.

Is this for you?

  • FinOps work eats analyst weeks that AI could compress
  • You tried AI on cost data and stopped trusting the answers
  • Security blocks AI tools because governance is unclear

What we’ll set up

We connect the FinOps toolkit’s data to the AI your organization already uses, in your own tenant, through the existing Azure MCP and Kusto MCP servers. Then we work on the part that decides whether the answers are usable: context, guardrails, verification, and knowing when the model is wrong.

  • How the FinOps toolkit, an AI client, and MCP fit together for natural-language cost questions
  • Connecting through the existing Azure MCP and Kusto MCP servers, in your tenant
  • The questions leadership, finance, procurement, and engineering actually ask
  • Context and guardrails: what turns a plausible answer into a usable one
  • Knowing when the answer is wrong, and the checks that stay necessary
  • Azure SRE Agent, and the FinOps toolkit template behind it

What stays with your team

  • A tested configuration for your AI against FinOps toolkit data, using existing MCP servers
  • Question patterns for leadership, finance, procurement, and engineering
  • The guardrail and context patterns that make answers usable
  • A verification routine for checking AI-generated numbers

What the price covers

Included

The existing Azure MCP and Kusto MCP servers, connected to the AI you already use, in your own tenant. Question patterns for leadership, finance, procurement, and engineering. The context and guardrails that make an answer usable, and the checks that catch a wrong one. Azure SRE Agent is covered as a known FinOps toolkit template.

What we tailor to you

Which AI client you use, which questions each of your audiences needs answered, and how much context and constraint each one takes to answer well.

If you need more than this

A bespoke agent, a new MCP server, a data pipeline, or a production integration is a toolkit extension scoped separately.

Toolkit extensions

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