Building Trust in Technology Sales and Adopting Generative AI
Rebekah Panepinto traces her path from performing as a drummer to technology sales and podcasting, then makes the case that relationships, personal credibility and employee adoption matter more than simply buying new AI tools.
The episode at a glance
- Rebekah recalls playing to a crowd of 10,000 while earning $150 and recognising that music would not be her main career.
- She argues that request-for-proposal processes often become over-focused on price and obscure the wider value of a partnership.
- A career-long network is more resilient than a profile built around one company.
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Four insights from Rebekah Panepinto
A music career shaped a confident sales leader
Rebekah recalls playing to a crowd of 10,000 while earning $150 and recognising that music would not be her main career. Her experience performing and leading in bands did not disappear: she sees that confidence as transferable to running conversations, pitching ideas and leading teams.
Selling starts with fit, not an RFP price table
She argues that request-for-proposal processes often become over-focused on price and obscure the wider value of a partnership. Her preferred approach qualifies genuine customer needs early and treats the buying decision as an opportunity for a mutual, long-term relationship.
Your personal reputation outlasts any employer
A career-long network is more resilient than a profile built around one company. Rebekah describes investing in relationships even when there is no immediate sales opportunity, with her own podcast becoming a way to establish an advisory relationship rather than a transactional one.
The hard part of AI integration is people adopting it
Rebekah notes that software providers are increasingly incorporating generative AI into products organisations already use. Rather than confusing feature availability with transformation, leaders should concentrate on training, trials, change management and productive day-to-day usage.
A practical takeaway
Before rolling out another AI assistant, identify one repeated workflow, invite a small group of staff to test it and measure adoption alongside time saved. Build the internal confidence to use the capability, not just the purchase justification.
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