Production AI systems, built on Claude.
I'm Ben Burdick. I design and ship AI that connects Claude to the tools your business already runs on — MCP servers, agentic pipelines, and private deployments. Wired into real systems, and built for production, not demos.
Four ways Claude earns its place in a business.
Every engagement starts from your systems and your constraints — not a generic chatbot bolted on the side.
MCP servers
Custom Model Context Protocol servers that make your CRM, database, and internal tools callable by Claude — with structured error handling, access control, and observability from day one.
Agentic & extraction pipelines
Multi-agent workflows and document-to-data pipelines that turn unstructured inputs into structured, schema-validated output — and hold their accuracy at scale.
Private Claude deployments
A Claude assistant your team can use on confidential work — deployed with a privacy-first, zero-retention posture for firms that can't send client data just anywhere.
Where AI actually fits
A straight assessment of where Claude earns its keep in your workflow — and where it doesn't. I'll talk you out of the wrong project as readily as into the right one.
Shipped, live, and in daily use.
Client work is described by sector to respect confidentiality.
Production MCP server
A nine-tool Model Context Protocol server over MLS and county records, connected into Claude for a brokerage — listing search and filters, comparables, market stats, and parcel lookups. Live, in daily use, and passed client acceptance testing.
Private Claude assistant
An internal, confidential AI chat for a law firm, deployed with a zero-retention posture so the team can work with Claude on privileged material without it leaving their control.
Multi-tenant platforms
Operations software for a service business, and a data/places SaaS with usage-based billing. Both built as full multi-tenant products and running in production.
Structured extraction pipeline
A transcript-to-structured-data pipeline using tool-use with JSON schemas, validation-retry loops, and few-shot prompting — scored near 95% end-to-end accuracy.
Enterprise software behind the AI.
Before the AI work: years in enterprise software — Salesforce development, systems integration, and business-systems engineering across large legacy application estates. That's why the systems I build are wired into your real tools and made to run in production — not to demo well and fall over in week two.
Built for production
Error handling, access control, and observability are part of the build, not an afterthought.
Wired into real systems
Your data and your tools, made callable by Claude — not a chatbot sitting in a vacuum.
Honest about AI
I'll tell you where Claude is the right tool and where a plain script or a phone call wins.
Have a system that could use Claude?
Tell me what you're working on. I read every message and reply personally — no funnel, no bot.