Services
Consulting for teams that want AI inside the systems they already run: Laravel architecture, MCP, agent layers, Graph RAG and assistants. Not demos, production.
Laravel AI Architecture
Architecture for Laravel systems that need AI in them: where models, tools and data live, how they are authorized and logged, and how the codebase stays legible while agents help write it.
MCP Servers
Model Context Protocol servers that let Claude, ChatGPT, Cursor or your own agents use your system safely: typed tools over existing services, OAuth, per-user permissions and a full audit log.
AI Agents in CRM & ERP
An agent layer on top of the CRM or ERP you already run: people ask in plain language, the system answers from its own data and acts through its own rules, with a human approving what matters.
Graph RAG Pipelines
Retrieval pipelines that go past embed, search and generate: classification, intent, entity resolution and a knowledge graph of your domain, so answers follow the relationships in your data.
AI Assistants
Assistants for your team or your customers that know your domain, answer from your own documents and data, cite their sources and hand over to a person when they should.
How an engagement works
- 01 Architecture review A focused look at your system, data and goals. You get a written plan: what to build, where it plugs in, what it costs to run, and what not to do.
- 02 Build the first slice One real workflow, end to end, in production: authorization, logging and evaluation included. Small enough to ship in weeks, real enough to learn from.
- 03 Hand over or extend Your team gets the code, the conventions and the reasoning behind them. I stay on as architect for the next slices, or step back when you no longer need me.