Practical Ways to Unlock Revenue Growth with AI

Brent Grimes • October 1, 2024

Brent Grimes on the TECHtonic podcast, hosted by TSIA

The transformative potential of AI in the technology industry is driving companies focus on growth without significantly increasing their sales and marketing spend. TECHTonic podcast host Thomas Lah speaks with Brent Grimes, CEO of Reef.ai, about how to efficiently drive revenue growth by introducing AI into the process.


Listen on Apple Podcast

or in the TSIA Portal

Brent shares the journey of Reef.ai and its aim to predictively unlock customer value, helping companies transition from gut-feel decisions to data-driven strategies. This allows for optimized resource allocation and significantly improves revenue retention and expansion, all through a robust AI-powered approach.


They discuss the importance of leveraging machine generated and process consistent data to create powerful predictive models, including the critical role of continuous improvement and feedback loops in refining these models for optimal performance.


Listeners will walk away with valuable insights into the practical applications of AI, such as enhancing churn prediction, mitigating risk, and driving customer engagement. Join Thomas and Brent for a real conversation as they demystify AI's role in transforming technology business models by removing the guess work from revenue growth.

Ready to dive in?

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By Brent Grimes • October 29, 2024
There’s a lot of noise around AI agents these days. But when I talk to executives, it’s clear that most companies are just starting to dip their toes in AI waters. They’re eager to explore the potential but uncertain about how to get from their current state to a fully realized, AI-agent-led future. And there’s a paradox: while leaders are feeling the pressure to cut costs and do more with less, they’re simultaneously asked to drive higher revenue performance. As a result, we see ambitious plans built on assumed productivity gains from AI—but often without a realistic blueprint to capture those gains and no clear plan to fund it.  For those companies that aim to reap real, outsized benefits sooner and more predictably, achieving an AI-agent-driven future won’t happen by chance. It’ll require a targeted approach, grounded in strategic execution, data, and iterative learning. And where near-term revenue gains can fund this investment in AI, those opportunities should be prioritized.