Factory AI

Factory AI's pitch is narrow and consistent: make the approval step and the audit record part of the agent, not an afterthought bolted on by an integrator. On the build side you get a visual canvas, pre-built templates for document processing and extraction, conditional logic and branching, chained multi-step reasoning, semantic search inside workflows, and scheduled triggers. That combination covers the shapes most back-office processes actually take — pull structured data out of invoices or claims, branch on the values, escalate exceptions, log the outcome. The governance layer is where the product earns its keep. Human-in-the-loop approvals are nodes you place in the flow, so a reviewer signs off before an agent acts. Role-based access controls separate who builds from who runs and who edits. Activity logs capture each run and each change, and the audit trail plus SOC 2 certification gives a risk committee something concrete to inspect. Native ERP and CRM connectors keep agents wired into the systems of record, and dedicated infrastructure is available when volume climbs. The honest constraints: no exposed API for custom integrations, so in-house systems depend on connectors the vendor already built; predictive models cannot be retrained on your own data, so domain-specific edge cases lean on pre-built anomaly detection and may not improve; no on-premises deployment, which rules out hard data-residency mandates; and the design targets scheduled or on-demand runs, not real-time streaming. None of those matter if governance is your blocker. All of them matter if flexibility is. There is also corporate noise to weigh. In late September 2026 the Factory CEO publicly accused a former board adviser, VC Chris Degnan, of sharing information with competitor Cognition after joining it as CRO. That is a governance dispute, not a product change, but buyers doing diligence on a vendor that sells auditability will want their own read on it before signing a multi-year contract.