AI INTEGRATION
AI integrations & agents that do the repetitive work
I wire an AI layer into the tools you already use — so your team stops copy-pasting between tabs. Built by the senior engineer who designs it, with guardrails and a human in the loop where it matters.
The problem
Your team spends hours moving data between a CRM, a spreadsheet, email and three SaaS tools. The AI demos you've seen look great — until they touch your real data.
I build the boring, reliable part: an AI layer that reads your tools, makes a decision, and writes the result back — with validation, logging and approval gates so you can trust it.
What I build
AI assistants
Chat or in-app assistants grounded in your data (RAG) — answers from your reality, not the internet's.
Autonomous agents
Multi-step agents that triage, draft, route and update — with approval gates before anything ships.
Tool & API integrations
Connect your CRM, database, email, Slack/Telegram and SaaS into one pipeline.
Guardrails & observability
Validation, retries, cost limits and logs so you always know what it did and why.
How it works
Scope
A direct call to find where AI actually saves hours — and where it honestly doesn't.
Build
I design the pipeline, wire your tools and ship a working version fast.
Harden
Guardrails, evals and monitoring before it touches production traffic.
Tools & stack
Questions
Will it make things up?
It's grounded in your data and gated — validation, retries and human approval where a mistake would cost you. I show you the logs.
Do you use my data to train models?
No. Your data stays yours; nothing is sent to train third-party models. Sensitive work can run on local models.
How fast can I see it working?
Usually a working first version in 2–3 weeks, then we harden it for production.
Have a repetitive process AI could handle?
Tell me what it is — I'll say honestly whether AI fits and what it would take.