Platform
One system underneath every workflow
ZyncoAI isn't a single automation — it's the infrastructure a team stands up once and then builds every workflow on top of. The same execution engine, connector registry, and governance layer back a two-step Slack notification and a multi-agent process that touches a dozen systems. Nothing about how a workflow runs changes as it gets more complex; only the workflow definition does.
Execution engine
Every workflow run goes through the same engine — staged rollout, retries with backoff, and rollback if a step fails. Runs are versioned, so a bad deploy is a revert, not an incident.
Connector framework
Workflows read and write through a shared connector registry rather than one-off integration code per workflow. See the real connectors already built.
Browse connectorsMulti-agent runtime
AgentOps runs planning, execution, and repair as separate agent roles with their own memory and constraints, instead of one model trying to do everything in a single pass.
How AgentOps worksGovernance & observability
Every run, tool call, and approval is logged. SSO, SCIM provisioning, and RBAC control who can change what; audit logs and SIEM export cover the compliance side.
Enterprise controlsWhere it fits together
A typical setup starts with a workflow built in WorkflowOps, pulling data through the connector framework above. Where a step needs judgment rather than a fixed rule — deciding how to route a lead, summarizing a support thread, deciding what to retry versus escalate — that step hands off to an agent through AgentOps. Everything either one does is visible in the same run history, with the same audit trail.