Full AI Infrastructure Build
For businesses ready to go beyond one workflow: a full AI operations stack, installed and hardened end-to-end. Agent environments (Claude Code, always-on assistants), an Obsidian-grounded knowledge base your agents can actually cite, MCP integrations across your tools, and the automation pipelines that tie it together.
This is the same architecture my own company runs on, a solo operation shipping and maintaining nine production systems. The infrastructure is what lets one person carry that much, and it transfers.
What you get
- ✓Complete architecture design for your AI operations stack
- ✓Agent environments installed locally or on your private cloud
- ✓Obsidian knowledge base with agent grounding
- ✓MCP server suite across email, docs, databases, and custom APIs
- ✓Monitoring, spend controls, and security hardening
- ✓Handover training and 30 days of post-install support
Questions, answered
Is this overkill for a small team?
It's built for small teams. The stack is what lets one operator run at the output of several. If you only need one workflow automated, start with the £750 audit instead.
What happens after handover?
You own everything: keys, servers, and documentation. 30 days of support is included, and the AI Concierge retainer (£900–£1,500/mo) exists if you want ongoing tuning.