AI Agents
From map to machine.
Barry discovers the processes; we build the automations — RPA for the rote steps, AI agents for the judgment calls, agentic workflows to run the whole thing.
Barry discovers the processes; we build the automations — RPA for the rote steps, AI agents for the judgment calls, agentic workflows to run the whole thing.
Every automation starts from a process Barry actually observed — never a whiteboard guess.
We start with the living map — workflows ranked by readiness, volume, and hours returned.
Rule-based steps get RPA. Judgment calls get an AI agent. Multi-system journeys get an agentic workflow.
Nothing runs unsigned. Every automation is reviewable, reversible, and logged — with a human in the loop.
A claims-intake workflow as Barry builds it: a trigger, an agent that reasons, tool calls into the software you already run, and a human who stays in charge. Drag the nodes — it's live.
Deterministic, rule-based steps — matching, keying, moving data between systems. Fast, cheap, and auditable to the click.
Where a step needs a read on context — classifying exceptions, drafting responses, reconciling ambiguity — an LLM-powered agent handles it, with confidence thresholds and escalation.
Multi-step orchestration across your tools: triggers, agents, tool calls, and human checkpoints composed into one governed flow.
Available on every plan at an additional rate — scoped up front from your own process map.