Keynote Speaker.
Advisor. AI Educator.

Based in Dubai, available internationally.

Meet Ivy

She speaks on revenue growth in the age of AI, and what it takes to build it.

Where the next revenue growth comes from.
How fast an organization can revise its strategy.
Whether people will actually use what they’re given.

Ivy Forero is a Keynote Speaker, Advisor, and AI Educator based in Dubai. For 11+ years, she has built Customer Success functions from the ground up inside tech companies across the US, the UAE, and Europe, from startups to global enterprises, turning post-sales teams into revenue drivers and retention into a competitive advantage. She leads Customer Success at Messe Frankfurt Middle East, building the function from scratch across the GCC.

Today she brings that builder’s experience to the stage, for leadership teams deciding where their next revenue growth comes from and whether their organization and their people can move fast enough to capture it. She speaks from inside the problem: she is still building the function, owning its numbers, and championing AI adoption inside a global organization.

Trusted by

95%+

Gross retention

120%+

Net revenue retention

14,000+

Users supported across GCC markets

$8M

In upsells across a $50M account portfolio

11+

Years in Customer Success Leadership

Countries streaming The Success Revenue Podcast

AI-powered apps built and deployed

100s

Of professionals trained in AI literacy

The convictions that drive the work.

“Serving customers better and growing revenue are now the same move.”

For decades they competed for the same budget, and the customer side usually lost because it could not prove a revenue number. Agentic AI changed that. The workflows that lower cost to serve also shorten response times, and the advantage sits with the customers you already have, the one asset a competitor cannot buy.

“The future doesn’t belong to the most technical. It belongs to the most adaptable.”

In an organization, adaptability comes down to revision speed. In 2025 the question was which model to use. By 2026 it was which workflow to redesign. The answer moved inside a single year, and most planning cycles revisit decisions once a year at best.

“People resist AI for two reasons, and most rollouts only plan for one.”

One is the fear of being replaced. The other is the fear of being blamed for output they would never put their name on. Both send people back to the old way. The fix starts with who is in the room when the AI is designed.

“When people stop doing low-value work, they start thinking at the level you hired them for.”

The organizations getting this right use AI to clear the repetitive work that was consuming time without creating impact, so their teams have room to think. What comes back is sharper questions, better judgment, and ideas that only arrive when someone has the space to look up.