Autonomous Agents

There's a category of work that only gets done when someone remembers — chasing follow-ups, compiling the weekly numbers, moving data between systems, watching for the thing that needs attention. We build agents that run on a schedule or a trigger and report back into the channel your team already lives in.

Why This Matters

Independent benchmarks show agent accuracy falls from roughly 58% on a single step to about 35% once a task runs many steps deep. So we build short chains with human checkpoints instead of twenty-step autonomous ones. That's why ours are still running.

What's Included

• Trigger design — schedule, inbound message, form or webhook
• Connection to the systems that hold your data
• An AI step that interprets messy real-world input, not just structured fields
• Results written back into your system of record
• Reporting into Slack, Teams or email where your team will actually see it
• Error alerting from day one, because a broken automation never files a complaint

In Practice

A business development agent that reads a Slack channel the way a person would — someone types “grabbed coffee with Sarah, looking at around 2k a month” and it creates the opportunity with contact, value and date, nudges three times a week on anything gone quiet, and posts a pipeline summary every Monday.