Neo4j is putting $100 million into agentic and generative AI.
The plan: roll out new agent tools and back 1,000 AI‑native startups. In short, graphs become the memory and reasoning layer for AI agents.
Why It Matters For PMs
More reliable agents. Graphs add context and links, so answers make sense and can be traced.
Better guardrails. You can control who sees what, and you can audit choices.
Real business work. Agents can tackle flows that cross teams and systems—claims, KYC, approvals, support.
If you’re getting started, see Becoming an AI Product Manager: 7 Simple Steps to Success for a simple ramp. If you’re the first PM laying foundations, our First PM Survival Guide helps you set culture and manage stakeholders from week one.
Fast Takeaways
For a clear view of the modern PM stack (no fluff), read What Great Product Managers Need in 2025—it covers the tools and habits that actually move metrics.
Think of Neo4j as the agent’s long‑term memory and reasoning map.
Start narrow. Pick one workflow. Add guardrails. Measure impact.
For rollout patterns across meetings, docs, and tasks, read Cisco’s Agentic Webex: What, Why & How For Product Managers.
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Curious about the action plan—architecture, data model, metrics, prompts, PRD, and an ROI model you can copy today?
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🔐How To Build A Graph‑Powered Agent Pilot (30‑Day Sprint)
Goal: ship one safe, measurable agent that handles a real workflow.