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Adapt to Win: Using AI and Service Diversification to Drive Sales

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Manage episode 513826209 series 3672823
Content provided by TechServe Alliance. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TechServe Alliance or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Join Anna Frazzetto, Founder & CEO of AFM Strategic Partners, and Tim Glennie, Managing Partner & Co-Founder of Bridgeview IT, as they explore how IT staffing firms can adapt, innovate, and grow in a challenging market. Anna and Tim share practical strategies for navigating shifting client buying behaviors, using AI to uncover sales opportunities, and diversifying service offerings through SOW models. They also discuss the importance of listening, leveraging data-driven insights, and maximizing existing client relationships to position for growth in 2025.

  continue reading

24 episodes

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Manage episode 513826209 series 3672823
Content provided by TechServe Alliance. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TechServe Alliance or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Join Anna Frazzetto, Founder & CEO of AFM Strategic Partners, and Tim Glennie, Managing Partner & Co-Founder of Bridgeview IT, as they explore how IT staffing firms can adapt, innovate, and grow in a challenging market. Anna and Tim share practical strategies for navigating shifting client buying behaviors, using AI to uncover sales opportunities, and diversifying service offerings through SOW models. They also discuss the importance of listening, leveraging data-driven insights, and maximizing existing client relationships to position for growth in 2025.

  continue reading

24 episodes

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