A visual workflow builder that lets enterprise teams deploy deterministic AI agents, tool-calling automations, and approval flows across their existing systems.
Added Jun 14, 2026
Last signal 2w ago
Companies are hiring engineers to design multi-step AI workflows that connect agents, APIs, databases, notifications, CRM systems, and approval processes. Teams struggle to make these automations repeatable, observable, and safe enough for GTM and enterprise workflows where agents need to orchestrate but deterministic workflows need to execute.
AgentFlow provides a drag-and-drop canvas for building node-based AI workflows that can call APIs, run RAG lookups, enrich CRM records, draft proposals, send notifications, and route human approvals. Workflows can be triggered by schedules, webhooks, Slack messages, email, CRM events, or called by AI agents as reliable tools, with logging and impact measurement built in.
Multiple companies are actively hiring for AI agent workflow orchestration, GTM automation, and tool-calling systems, indicating that enterprises are moving beyond demos into production automation. The rise of LangChain, LangGraph, MCP servers, n8n, Make, Zapier, and agentic GTM workflows creates demand for a purpose-built orchestration layer.
The Agents & Automations team builds the platform inside North that lets customers create AI-powered workflows. Some of these workflows are structured automations, such as routing requests, keeping systems up-to-date, or triggering approvals. Others are more flexible agents that can gather context, use tools, make decisions, and take action across enterprise systems.
2. Workflows — Visual, drag-and-drop automations composed of connected nodes on a canvas. Each node is a discrete operation (call an API, run AI, read a spreadsheet, send an email). Workflows are deterministic and repeatable. They can be triggered manually, on a schedule, via webhook, or by external events (new email, Slack message, etc.). Workflows can also be attached to agents as callable tools — the agent orchestrates, the workflow executes.
Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
AI Workflow Automation : Audit existing enterprise sales workflows — account research, technical discovery, competitive analysis, proposal drafting, follow-up sequences — and identify the highest-value opportunities to automate using AI. Build and deploy working automations using tools like n8n, Make, Zapier, or custom scripts, and measure their impact.
Design, build, and deploy AI agent-based workflows and automations that solve real business problems – including multi-step agentic workflows, RAG-based knowledge systems, automated content pipelines, intelligent CRM enrichment, and more.
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