2024 → ONGOING

AI automation, in production.

AI doing real work inside a live product, not demos, not experiments. Held to the same reliability standard as seventeen years of shipping software.

LLM TOOL-USEAPI INTEGRATIONGUARDRAILSPROMPT CACHING

SYS / 01

LLM-assisted client communication

PROBLEM Replies took hours. Every one was written from scratch, and the tone changed depending on who answered.

BUILT Tooling that reads each incoming request, sorts it by priority, and drafts a reply with the right context. A human approves every send.

OUTCOME Replies in minutes instead of hours, in one consistent voice, without adding headcount.

SYS / 02

PROBLEM Business processes with several steps (gather, decide, act, verify): too complex for simple automation, too repetitive for people.

BUILT Pipelines that plan a task, call the right systems, check their own work against the rules, and hand off to a human when confidence drops.

STATUS Live inside AccessHub's in-app assistant, being hardened for broader use.

THE STANDARD

“An automation you can't trust is just a new kind of manual work. I build AI systems the way I build everything: to be relied on.”