Five lessons from early adopters deploying agentic AI in revenue operations and SalesTech. Key takeaways: start with one narrow, high-pain workflow rather than broad automation; treat AI-generated insights as triggers for action rather than endpoints; fix data fragmentation and governance before deploying agents; ensure real-time signal ingestion so the observe-decide-act loop runs on fresh data; and earn autonomy incrementally by starting with copilot-style workflows before promoting to full automation. Data readiness, governance, and low-latency infrastructure are framed as prerequisites, not afterthoughts.

12m read timeFrom singlestore.com
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