Every public AI incident in the last 18 months — Air Canada chatbot, NYC MyCity, Klarna's customer-service rollback — ended the same way: "we couldn't reconstruct what the agent did." Cognita's answer is to commission red-team exercises on consenting partners' agent systems and publish the full Merkle-anchored reconstruction trail. The canonical reference for what audit-grade looks like, without waiting for someone else's bad day.
The series launches with the first commissioned engagement in the back half of 2026. Two design partners under consideration: a mid-market fintech with an agentic underwriting workflow and an MSP serving healthcare end-customers with a chat triage agent. Subscribe below to be notified when the first paper drops.
When a major public AI incident does land (the Air Canada / NYC MyCity / Klarna cadence is roughly one every 4–8 months), Cognita publishes a 24-hour analysis showing how our customers prevent that specific category of failure, with concrete reconstruction examples from the commissioned series paper. The series is the canonical reference; the 24-hour analysis is the timing accelerator. Together they're the procurement-catalyst chain that turns "audit-grade observability" from a marketing claim into a demonstrable category.