AI agents and account signals are changing how ABM works.

Job changes, tech-stack shifts, funding rounds, content engagement spikes, competitor mentions, hiring patterns, every one of these is a signal that an account is moving into the market.

Until 2025, capturing those signals at scale required a dedicated analyst team most mid-market companies couldn’t afford. That equation has changed.

AI agents now monitor hundreds of signal sources continuously, scoring and surfacing the accounts that matter before a human ever touches them. 45% of marketing teams are already using agentic AI, but most are using it to rewrite subject lines, not to build the intelligence layer that tells you which accounts to prioritise and when.

This session shows you how to build a living data system: one where AI research agents continuously enrich, validate, and score your account list, buying signals surface priority accounts in real time, and your CRM becomes a decision engine rather than a decaying spreadsheet.

You’ll leave with practical steps to launch your own AI Agents to nail your accounts, signals and outcomes.

This is part 1 of a 5 part series for how lean teams can launch successful ABM campaigns.

AGENDA

1. The signal landscape: what your accounts are telling you right now. Job changes, tech-stack shifts, funding rounds, content engagement, competitor mentions, hiring surges, these are some of the six signal categories that predict when an account is moving into market. We'll walk through each one, show you what it looks like in practice, and explain why most teams are missing them entirely.

2. AI agents as your always-on research team. 45% of marketing teams are using agentic AI, but almost all of them are using it for content, not intelligence. We'll show you how AI research agents now monitor hundreds of signal sources continuously, score accounts in real time, and surface the ones that matter before a human ever touches them. This is the architecture that replaced the analyst team you couldn't afford.

3. Account sourcing and where human input is still critical. How to connect AI agents to your CRM so it becomes a decision engine rather than a decaying spreadsheet. We'll cover the integration patterns, the scoring logic, and how buying signals automatically trigger outbound sequences, ad audience updates, and sales alerts — simultaneously.