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I build AI-native platforms from scratch, add AI to systems you already run, build MCP servers that let assistants work inside your product, and take all of it to production in your cloud. Every service links to the case studies that prove it.
/build
I build multi-tenant AI SaaS platforms from scratch, where AI is part of the production line: content generation, retrieval, agents, voice and grading. Each client's data is kept apart in the database itself, AI spending has limits, and a person can overrule the AI. I own the work from architecture to cloud deployment.
5 case studies
/integrate
I add AI to the systems a business already runs: AI sales agents, assistants, CRM integrations and workflows where a person approves what the AI drafts. I work behind feature flags, fail softly at every integration boundary and test against production schemas, so the parts that already work keep working.
5 case studies
/mcp
I build custom MCP servers that let ChatGPT, Claude and your own agents work inside your product. The server checks who is calling, works out their organisation before any query runs, and gives the agent tools that prepare work rather than act on their own. A person approves anything that reaches a customer.
1 case study · part of AI integration
/ship
I take AI applications from a developer's laptop to a secure, running cloud system. I write the AWS or Azure infrastructure as code, package the app in containers, automate deployments with no stored passwords and hand over documentation your team can run. I don't hand over a demo; I hand over a running system.
4 case studies
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