On Demand

RevOps shouldn’t feel like constant babysitting. Join us to see why traditional automation can’t keep up with dynamic revenue and how AI shifts you from brittle rules and noisy alerts to smarter detection and clearer prioritization.

Calendar Icon
Thursday, 19 March
Time Icon
12 PM ET
Jose Aleman
LinkedIn Icon
VP, GTM Excellence
Zoë (Jong) Mckenzie
LinkedIn Icon
Director, RevOps Technology

Watch Recording

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Road to Uncappd Summit

RevOps shouldn’t feel like constant babysitting. Join us to see why traditional automation can’t keep up with dynamic revenue and how AI shifts you from brittle rules and noisy alerts to smarter detection and clearer prioritization.

Calendar Icon
Thursday, 19 March
Time Icon
12 PM ET
Jose Aleman
LinkedIn Icon
VP, GTM Excellence
Zoë (Jong) Mckenzie
LinkedIn Icon
Director, RevOps Technology

Watch Recording

Powered by
On Demand

The End of Manual RevOps (Finally)

RevOps shouldn’t feel like constant babysitting. Join us to see why traditional automation can’t keep up with dynamic revenue and how AI shifts you from brittle rules and noisy alerts to smarter detection and clearer prioritization.

Powered by
Calendar Icon
Thursday, 19 March
Time Icon
12 PM ET
Jose Aleman
LinkedIn Icon
VP, GTM Excellence
Zoë (Jong) Mckenzie
LinkedIn Icon
Director, RevOps Technology

Watch Recording

Powered by
On Demand

The End of Manual RevOps (Finally)

RevOps shouldn’t feel like constant babysitting. Join us to see why traditional automation can’t keep up with dynamic revenue and how AI shifts you from brittle rules and noisy alerts to smarter detection and clearer prioritization.

Powered by
Calendar Icon
Thursday, 19 March
Time Icon
12 PM ET
Jose Aleman
LinkedIn Icon
VP, GTM Excellence
Zoë (Jong) Mckenzie
LinkedIn Icon
Director, RevOps Technology
On Demand

The End of Manual RevOps (Finally)

RevOps shouldn’t feel like constant babysitting. Join us to see why traditional automation can’t keep up with dynamic revenue and how AI shifts you from brittle rules and noisy alerts to smarter detection and clearer prioritization.

Calendar Icon
Thursday, 19 March
Time Icon
12 PM ET
Jose Aleman
LinkedIn Icon
VP, GTM Excellence
Zoë (Jong) Mckenzie
LinkedIn Icon
Director, RevOps Technology

Watch Recording

On Demand

The End of Manual RevOps (Finally)

Session from

RevOps shouldn’t feel like constant babysitting. Join us to see why traditional automation can’t keep up with dynamic revenue and how AI shifts you from brittle rules and noisy alerts to smarter detection and clearer prioritization.

Calendar Icon
Thursday, 19 March
Time Icon
12 PM ET
Jose Aleman
LinkedIn Icon
VP, GTM Excellence
Zoë (Jong) Mckenzie
LinkedIn Icon
Director, RevOps Technology

Watch Recording

On Demand

The End of Manual RevOps (Finally)

RevOps shouldn’t feel like constant babysitting. Join us to see why traditional automation can’t keep up with dynamic revenue and how AI shifts you from brittle rules and noisy alerts to smarter detection and clearer prioritization.

Calendar Icon
Thursday, 19 March
Time Icon
12 PM ET
Jose Aleman
LinkedIn Icon
VP, GTM Excellence
Zoë (Jong) Mckenzie
LinkedIn Icon
Director, RevOps Technology
On Demand

The End of Manual RevOps (Finally)

RevOps shouldn’t feel like constant babysitting. Join us to see why traditional automation can’t keep up with dynamic revenue and how AI shifts you from brittle rules and noisy alerts to smarter detection and clearer prioritization.

Calendar Icon
Thursday, 19 March
Time Icon
12 PM ET
Jose Aleman
LinkedIn Icon
VP, GTM Excellence
Zoë (Jong) Mckenzie
LinkedIn Icon
Director, RevOps Technology

What’s In It For You?

RevOps teams do essential work- but too much of it is manual, reactive, and quietly exhausting. You’re monitoring “just in case,” chasing CRM updates, reconciling dashboards, and fixing issues after they escalate.

Zoë and Jose aren't here to sell you on AI. They're here to be specific about it; where it creates real leverage, where it doesn't, and what the teams actually seeing results did differently.

You’ll see how AI changes the RevOps automation model by moving from rules → intelligence:

  • Continuous signal detection instead of manual monitoring
  • Pattern recognition at scale (including edge cases)
  • Context-aware prioritization to cut alert noise
  • Recommended next actions so teams move faster with confidence
  • Human-in-the-loop control to build trust and maintain governance

You’ll walk away with:

  • Why traditional automation breaks as revenue complexity grows
  • Where AI delivers real leverage across comp, forecasting, and revenue governance
  • Specific next steps you can apply without boiling the ocean
  • Why RevOps still feels manual: the hidden cost of reactive revenue work
  • Why rule-based automation breaks at scale (static rules vs dynamic revenue)
  • How AI changes the RevOps automation model: signals → context → prioritization → next actions
  • Highest-impact AI use cases across RevOps (pipeline, process/data, execution, revenue protection)
  • Best practices for building trusted, human-in-the-loop AI workflows
  • Live Q&A

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