The first wave of AI in sales and marketing was about generating copy. The current wave is about workflows: research, prioritisation, personalisation, follow-up and forecasting, increasingly connected end to end.
Where teams see the clearest gains
- Account research — summarising company news, filings and signals before outreach.
- Lead prioritisation — scoring based on engagement and fit.
- Personalised outreach — drafting messages tailored to role and context, reviewed by humans.
- Conversation intelligence — summarising calls and surfacing next steps.
- Forecasting — spotting pipeline risk earlier.
The data foundation
AI recommendations are only as good as the CRM data behind them. Consistent fields, clean records and clear stage definitions often unlock more value than any new tool.
AI can scale the research and the first draft. Trust is still built one conversation at a time.
Key takeaways
- AI now supports the full revenue cycle, not just content creation.
- Account research and personalisation are high-impact starting points.
- Clean CRM data is the foundation for reliable AI insights.
- Human relationships remain the differentiator in complex sales.
