Claude-as-a-Service. Your AI stack, built and run.
We train your team on Claude, build the knowledge base it works from, connect it to your tools, and build agents that do the repetitive work. Then we keep it running.
Book a ClaaS consult
AI is being sold the same way ads were: a Black Box demo, a subscription, and nobody accountable on Tuesday. We build it in your accounts with a human who answers.
The plan
What's included
Claude training: hands-on sessions for your team. Real tasks, not demos.
Two half-day sessions on your real work: writing estimates, answering reviews, summarizing calls, drafting SOPs. Each person leaves with three workflows they use weekly, each written down so the next chat starts smart. The curriculum follows Anthropic's AI Fluency framework — taught on your business, in plain English, not prompt tricks. Recorded, with a cheat sheet. We come back 30 days later to see what stuck and fix what did not.
Knowledge base: an Obsidian vault of your SOPs, offers, and customer knowledge, structured so Claude can use it.
Your offers, pricing rules, tone, objections, and procedures captured in an Obsidian vault you own. Plain markdown, version-controlled, readable by humans and by Claude. This is what makes the AI answer like your best employee instead of a generic assistant.
MCP servers: Claude connected to your CRM, ad accounts, call data, project management.
Model Context Protocol connectors that let Claude read and act in your systems: CRM, Google Ads, call tracking, scheduling, project management. Scoped permissions, read-only by default, writes only where you approve. Built and hosted in your accounts.
Agents: custom agents on the Claude Agent SDK that run intake, follow-up, reporting, and cleanup without a person in the loop.
Custom agents built on the Claude Agent SDK for jobs that run without a person in the loop: intake triage, quote follow-up, weekly reporting, data cleanup, dispatch exceptions. Each agent has a written scope, logs every action, and escalates to a human when unsure. We start with one narrow agent, prove it, then expand. It is how we run our own retainers: the Analyst, the Auditor, and the Bookkeeper that watch every client account are named on the Measurement page.
ClaaS retainer: monthly new workflows, maintenance, and a human to ask.
A monthly engagement: one new workflow or agent shipped each month, maintenance of what exists, model and tool updates, and a named person who answers. Month-to-month. You pay Anthropic directly for usage and own every account.
Ops setup: Asana and CRM configuration so the AI has something clean to work with.
AI is only as good as the data underneath it. We configure Asana (or your PM tool) and your CRM with clean pipelines, fields, and naming, so agents have something reliable to read and write.
Why "ClaaS": the value isn't the model. It's the setup, the context, and someone accountable for it working.
Claude-as-a-Service means the model is the commodity and the setup is the product: context, connectors, guardrails, and accountability. Anyone can open a chat window. Few businesses have someone responsible for the AI actually working on Tuesday.
Success
What changes in 90 days
Objections, answered
Questions
- Which tools?
- Claude (Anthropic). We are not a reseller; you pay Anthropic directly and own the account.
- Is our data safe?
- Your data stays in your accounts. We build with your logins and never train models on it.