Put ChatGPT and Claude Code to work without the security mistakes.
LLMs are a productivity multiplier for engineering teams — and a liability magnifier for organizations that adopt them carelessly. We help small and mid-sized businesses get the benefits without the IP leaks, the policy violations, and the “wait, did our junior just paste production credentials into a public prompt?” Slack threads.
What we help with
- Team training on Claude Code and ChatGPT — hands-on workshops covering effective prompting, agent loops, MCP servers, and the failure modes that catch teams off guard.
- AI policy and guardrails — written acceptable-use policies that are specific enough to act on, plus the technical controls (DLP rules, prompt-filtering proxies, audit logging) to enforce them.
- Custom Claude Code skills, agents, and MCP servers — internal tooling that lets your team automate proprietary workflows without leaving the agent loop.
- Prompt-engineering audits — reviewing your team’s current AI usage for safety, effectiveness, and cost.
Typical engagements
- AI onboarding workshop. One week. We train a five-to-fifteen-person team on Claude Code from first install through writing a custom skill, with materials they keep.
- Custom MCP server. One to three weeks. We design and ship an MCP server that exposes one of your internal systems (your ticketing, your knowledge base, your deploy tooling) to Claude, with auth and audit logging.
- AI policy and DLP rollout. Two weeks. Written policy + technical controls deployed to your endpoint management system + a tabletop exercise with your team.
Why us
We use Claude Code every day to ship this site, yavijava, and our consulting deliverables. We’ve written the same MCP servers and custom skills we’d build for you — for ourselves first.