AI that does the work, not just the demo
Most AI projects stall after the demo because they aren't connected to anything real. This service is the opposite: I wire AI into the systems your company already runs, so it does actual work — triaging, looking things up, drafting, routing, reporting — instead of impressing people in a meeting and then gathering dust.
How I build it
I turn your services into tools an agent can use — through MCP and clean integrations — and put a single assistant in front of them. I built exactly this in-house: a Slack-driven agent platform that turned company services into MCP tools, so every team got one assistant instead of five disconnected models.
The work is grounded in your real data and workflows, with guardrails. And I'll be straight with you about where an LLM is the right tool and where a plain, deterministic automation is simply more reliable.
Where it pays off
- Repetitive internal processes that quietly cost hours every week
- Knowledge and tools scattered across systems nobody wants to stitch together
- Teams each reaching for a different model, with no shared, trusted interface
Let's talk
Looking for the broader pitch? My AI automation page has more. Otherwise, tell me which internal process wastes the most time and I'll tell you whether AI is the right fix.