Service

AI that actually moves the needle.

Beyond the chatbot. We help you adopt AI where it creates real leverage.

Book a free consultation See examples

01 / What we do

Four ways we engage.

Readiness assessments

A short audit of your stack, data, and team. We map the highest-leverage AI plays and the dead ends to skip.

Custom agents & MCP servers

Domain-specific agents wired into your tools. Internal MCP servers that expose your systems to Claude safely.

Workflow automation

Replace the manual reconciliations, classification, and copy-paste pipelines that burn ops hours.

Team training

Hands-on workshops for engineers and operators. Your team learns to use AI like we do — not by watching demos.

02 / Engagements

Pick a starting point.

Assessment

$3Kfixed

1–2 weeks

Where AI moves the needle for your business — and where it doesn’t. Written report, ranked plays, no upsell.

Stakeholder + systems audit
Ranked list of opportunities
Effort/impact estimates
1-hour debrief call

Implementation

Most common

$15K+fixed

3–6 weeks

We build the agent, the automation, or the internal MCP server end-to-end. Production-ready, documented.

Build + deploy
Eval harness for outputs
Guardrails + observability
Handoff + training

AI partner (retainer)

From $6K/moretainer

Ongoing

We embed with your team. Build, train, evaluate, and ship AI features inside your product or ops.

Weekly working sessions
Roadmap + measurement
Eval + tuning
30-day notice

03 / Real examples

What we’ve built with AI.

Example

Internal MCP server

Custom MCP server exposing internal docs, tickets, and data to Claude. Engineers query the company in plain English.

Example

Multi-context agents

Agents that span repo + docs + Slack + Linear. Built with explicit handoffs, not magic chains.

Example

AI-ready repos

CLAUDE.md, agent permissions, eval harness, MCP wiring. Your codebase becomes a first-class AI surface.

# Example: a focused MCP server exposes internal data to Claude
$ claude --mcp-server ./internal-mcp
> who owns the payments service and where are the docs?
✓ owner: payments-team@yourco
✓ docs: notion://payments-runbook

04 / Who this is for

Mid-market teams, founders, and ops leaders.

If you have data, workflows, and people doing repetitive judgment work — there is leverage hiding in plain sight.

05 / FAQ

Common questions.

We already use ChatGPT — is this different?

Yes. Off-the-shelf chat is a starting line. We build the integrations, agents, and evals that turn AI into actual leverage on your work.

How do you handle data privacy?

Self-hosted or VPC-deployed by default for sensitive data. We use models that don’t train on your inputs and document the boundaries explicitly.

Will my team be able to maintain this?

Yes. Training and documentation are part of the deliverable. The point is leverage you keep, not a black box.

Do you do RAG?

When it’s the right tool. Most "RAG problems" are really data, evals, or agent design problems. We solve the underlying one.

Get in touch

Want an honest read on AI in your business?

A 30-minute call. We’ll tell you what’s real, what’s noise, and where to start.

Book a call