Skan AI

Enterprise AI · AI Agents · Process Intelligence

Funding

Skan AI raises $63M Series C to fix AI agents' missing workflow context

Documented processes often capture far less of a company's real work than executives assume, undermining most AI agent deployments.

• Skan AI closed a $63 million Series C co-led by Cathay Innovation and Dell Technologies Capital, bringing its total funding to roughly $120 million, and made two new products generally available.
• The seven-year-old company's software observes how employees actually move through CRMs, email, and mainframe sessions, turning those observations into a 'context graph of work' that grounds AI agents in real task execution rather than written documentation.
• One Fortune 500 insurer believed its documented process covered more than 95 percent of cases, but Skan's observation found it actually covered only about two-thirds.
• Skan says it has processed over 25 billion work signals, identified more than $500 million in cumulative customer value, and grown revenue over 300% year-over-year with 150% net dollar retention.
• Gartner research cited by the company found only 8% of enterprises have AI agents running in production, and 95% of early implementations will need a full redesign.
• As enterprises race to deploy AI agents, the bottleneck is shifting from model quality to whether systems truly understand how work happens, a gap that pilots built on documentation alone consistently miss.