Tailoring AI for Growth: What Startups and Enterprises Should Do Differently with Akash Ganapathy
In this episode, Jack Cochran and Matthew James are joined by Akash Ganapathi, CEO of Opine, to discuss how AI strategies differ between startups and enterprises in the presales space. They explore the myth of AI replacing SEs, the importance of specialization vs. generalization, and how AI can help presales teams manage more revenue per team member while focusing on strategic, relationship-building activities. Follow Us   Connect with Jack Cochran: https://www.linkedin.com/in/jackcochran/   Connect with Matthew James: https://www.linkedin.com/in/matthewyoungjames/   Connect with Akash Ganapathi: https://www.linkedin.com/in/akash-ganapathi/    Links and Resources Mentioned   Join Presales Collective Slack: https://www.presalescollective.com/slack   Opine: https://tryopine.com/   Contact Akash directly: 
[email protected]   Timestamps 00:00 Welcome 04:35 Why AI strategy differs for startups vs enterprises 09:27 Debunking the myth of AI replacing SEs 18:35 The human element in buying and selling 24:35 How enterprises can leverage existing knowledge bases 28:12 The paradox of considering AI for every task 32:14 Future predictions for 2026-2027 Key Topics Covered   Startup vs Enterprise AI Strategy   Startups benefit from generalist approaches and bottom-up experimentation   Enterprises need specialized, top-down AI strategies to avoid redundancy   The role of specialization vs wearing multiple hats     The AI Replacement Myth   Why the "AI SE" that replaces human SEs doesn't work   SEs do much more than just answer technical questions   The importance of relationship building and strategic thinking     Current AI Limitations   Context window constraints (around 1 million tokens currently)   Retrieval Augmented Generation (RAG) accuracy at ~75%   Why breakthrough improvements are needed for true automation     The Future of Presales with AI   More revenue managed per team member   Shift toward hiring less experienced SEs with AI enablement   Focus on strategic consulting rather than administrative tasks     Practical AI Implementation   Draft-and-approve workflows for deliverables   Automating account research, meeting prep, and RFP responses   Using AI for onboarding and knowledge enablement     Mid-Market Recommendations   Lean toward enterprise-style, forward-looking strategies   Enable not just current team but future hires   Focus on cross-organizational enablement (AEs, product, marketing)