Cofia

Operations teams with people-heavy processes, such as accounts payable, claims, or support, want to use AI agents to automate their work, but agents need a complete map of a process to automate it, and almost no company has one. Today, understanding how work really gets done requires interviews and manual process mapping that are slow, incomplete, and miss the exceptions and shortcuts that constantly break systems. Without this detail, automation projects end up copying today's inefficient steps and bad habits instead of fixing them, and teams struggle to get agents that match how their best performers actually handle edge cases.

Cofia deploys passively through a company's IT system, requiring no interviews and no integrations into existing systems, to observe how work is really done across tools like ERP, CRM, email, sheets, and portals. It captures every step and exception, including time spent per step, to build an exhaustive map of a process, such as a 6-step invoice approval workflow with its queries, escalations, and missing-PO cases. From this map, Cofia builds AI agents that apply the same best practices as top performers on every case, with checks like vendor matching, tax ID verification, and amount tolerance, flagging exceptions for human review rather than copying inefficient existing processes.