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In this episode of the Human-First AI and Marketing Podcast, Mike Montague sits down with Francis Brero of HG Insights to explore how AI is changing go-to-market strategy across sales and marketing. They unpack the growing complexity of B2B buying committees, the shifting role of SDRs, and why better data, intent signals, and account insights can help sellers show up with more relevance, preparation, and trust.

Francis shares a practical view of where AI creates real leverage: capturing the playbooks of top sellers, turning scattered research into repeatable workflows, improving CRM data, and helping teams separate simple “$5 tasks” from high-judgment “$5,000 decisions.” The big takeaway: AI works best when it helps humans have better conversations, build stronger buyer experiences, and avoid the growing pile of generic work slop nobody asked for.

Top takeaways:

• B2B selling is returning to first principles. Francis emphasized that strong GTM strategy starts with identifying the right accounts, understanding their problems, and showing how your solution fits their budget and priorities.
• Buying committees matter more than individual leads. He explained that B2B sales still happens through individuals, but the organization has to buy, which means sellers need to understand champions, CFOs, legal, compliance, and other stakeholders.
• AI can help teams move beyond old efficiency games. Francis pointed out that the SaaS-era obsession with SDR efficiency, MQLs, and funnel metrics is giving way to a more account-based, insight-driven GTM motion.
• The best sellers’ playbooks should become institutional assets. He said AI gives companies a way to capture how top sellers research, prepare, and frame conversations so the whole team can benefit.
• Relevance beats creepy personalization. Francis warned that mentioning personal details without a business reason can feel invasive, while useful account insight helps anchor a better sales conversation.
• AI should prepare sellers, not replace the human selling moment. He pushed back on AI salespeople and virtual reps when the buyer experience would be better served by a prepared human with a thoughtful point of view.
• The best AI use cases are often “$5 tasks.” Francis described simple prep work, summaries, research, and note-taking as low-cost tasks where AI can save time and improve the human interaction.
• Call summaries need human judgment after the meeting. He noted that AI note-takers often miss the “last mile,” which is asking the human what actually mattered and what will move the deal or project forward.
• Voice-based AI can change the work experience. Francis shared how he uses AI voice mode while walking to process email and think through work, creating an assistant-like experience that used to require an executive assistant.
• AI investment should solve meaningful human problems. Looking ahead, Francis argued that AI should be directed toward underserved needs, such as access to care in rural areas, rather than only convenience tools for the most privileged users.

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