Orchestrate Agentic Workflows, Approvals, and Automations Across Your SDLC

Orchestrate AI agents, existing tools, human-in-the-loop, and business processes in a unified workflow.

Engineering teams today need to orchestrate AI Agents, CI/CD pipelines, automations, and human-in-the-loop approvals – but each lives in a separate tool. This creates handoffs, context switching, and approval delays. As organizations scale AI agents across the SDLC, shipping faster means unifying all in a single workflow.

In this webinar, we’ll demo Port’s agentic workflow orchestration - enabling you to chain agents, automations, business rules, and human approvals - in one governed flow, on shared data.

Using common Agentic SDLC use cases (self-healing incidents, autonomous ticket resolution, PR enrichment, and more), we’ll show how Port Workflows enable:

• Agents as a native workflow step: Trigger other agents, workflows, or MCP Tools.
• Process controls around your pipelines: With risk assessments, notifications, quota management, dependency checks, and approvals all defined in the same flow.
• Context-aware workflows: Each workflow is built and executed against the same unified real-time context, including permissions and governance policies.
• Human-agent collaboration: Native Review steps enable Human-in-the-loop, including dynamic approvers lists and JIT permissions. Agents and humans see the same scoped context: No blind spots or re-verifying what the agent saw.
• Low-code builder: Enables teams across the org to create and run workflows - so Platform teams are an enabler, not a bottleneck.