Webinar

Port × n8n: Boost AI Workflows with Context, Guardrails, and Control

January 21st, 10:00 AM EDT

Join Matan Grady (Product Director, Port) and Cameron Kayfish (Platform PMM, Port) to explore how teams can supercharge AI agents and workflows in n8n with Port’s Context Lake - so agents act on reality, not guesswork.

What to expect:

The gaps with AI workflow tools (and why teams get nervous)Why low-code agentic automation is exploding—and where it breaks down without shared context, governance, and coordination (conflicting automations, stale signals, unclear ownership, and uncontrolled access).
Port + n8n: Context Lake + Guardrails for agentic workflows
How the Port node for n8n brings three missing pieces into workflows:
- Context (service ownership, dependencies, criticality, environments)
- Guardrails (permissions, approvals, audit trails)
- Coordination (humans + agents operating in a shared control plane)
Three n8n + Port templates you can use todayWalkthrough of ready-to-use workflows you can clone:
- Automate incident management with PagerDuty, Port AI, Jira & Slack — ingest alerts, enrich with Port context, create/route Jira work, and coordinate in Slack.
- Auto-resolve Jira tickets with GitHub Copilot using Port Context — pull full service context, generate PRs, and run validation/test gates before closure.
- Control AI agent tool access with Port RBAC and Slack mentions — approve/deny sensitive actions via Slack, enforce Port permissions, and keep an audit trail.

Register

Cameron Kayfish

Cameron Kayfish leads Platform Product Marketing at Port, shaping how Port defines and communicates Agentic Engineering to the market. He partners closely with product, engineering, and customers to translate real SDLC workflows into clear narratives, production demos, and outcome-backed proof points. His focus is practical adoption: applying the right context, guardrails, and measurement so AI-driven automation can operate reliably in enterprise environments.