AI operators that own team workflows
Hipocampus is a workflow-ownership layer for teams. It deploys governed operators that automate and own team workflows across fragmented systems, with persistent workflow state, approvals, delegation, escalation, and shared context so work keeps moving across tools and time.
Space Manager provides one place to ask what needs attention, see all open work, and spin up new operators. Multiple spaces isolate context while operators are shared infrastructure, enabling cross-functional teams to work in parallel with audit trails.
Hipocampus indexes every resolution, dead end, and winning playbook. When a similar signal arrives weeks later, the operator already knows what worked. Recurring tasks become governed recipes that run with the same approvals and paper trail.
Every operator action is tracked with full state, ownership, evidence, and approval gates. Risky mutations wait for human sign-off. Decisions are replayable and exportable, providing the compliance and control needed for SOC 2, vendor renewals, and incident response.
Hipocampus automatically pulls context from Slack, GitHub, PagerDuty, email, and logs, then assigns an operator to investigate. The operator posts findings with evidence before any risky action, eliminating the hour-long manual context assembly that currently burns engineering time.
Hipocampus charges per operator action, not per user. One team can manage thousands of operators with unlimited seats. Usage-based billing means you pay only for work actually done, with credits rolling over within the month.