• I help companies apply AI to drive revenue
  • There's a popular idea that the way to achieve this is through 'GTM engineering' and complex technical projects
  • Actually 'applied AI' done right looks like massively increasing your targets and expectations in order to create huge amounts of urgency
  • This will then drive your team to get creative and resourceful to find ways to leverage AI to meet those new expectations
• Fundamentally, sales is sales. The things in sales that worked today worked 50 years ago: calling, in-person, dinners, gifts
  • You don't need to reinvent the wheel but rather do those things with greater scale and intensity
  • Everything in sales is downstream of (a) incentives and (b) ownership
• The effective way to apply AI is through empowering individuals, not through building systems
  • In practice the v1 of this looks like rolling out and enabling reps with Grok Bots or similar
  • You can use this new capability to drive up standards across the board: increase standards for CRM hygiene, follow-up time, inbound lead respond time, daily prospecting activities, time to close, etc
  • This ratchets up the level of energy in the team and invigorates people
  • Having clean systems due to accountability means sales becomes predictable and forecastable
  • It enables vigorous performance management
• Running this process of AI enablement, tech rollouts, performance gates, stakeholder management, and centralized analysis is what I call 'deployment engineering'; the deployment itself is the product
• If you're interested in the above, drop me a line at dom@assemblygtm.com or a DM on X (x.com/ryiacy)
• Most of my experience is in working for or with high-growth SaaS (Vercel, Attio, Granola); now branching out into (a) 0-1 founders and (b) large-cap PE
• I'm interested in AI services, robotics, manufacturing, AI data, and novel business models (AI-native rollups, holdcos)