You get a practical view of AI that works in go-to-market today. Patrick Spychalski shows how teams clean and enrich CRM data, score ICP fit with clear rules, and keep that score fresh so reps trust what they see.

He walks through a simple human-in-the-loop model. Let AI draft and assemble most of the work for emails, proposals, and research digests, then add judgment for tone, accuracy, and brand fit.

You also see how to turn enriched fields into a defensible target list and how to roll out AI with a lean stack. Start with one or two workflows that save visible time, document ownership across Sales, RevOps, and Marketing, and expand only after adoption sticks.

• Start with time sinks like CRM cleanup, enrichment, and ICP scoring, and refresh on a set cadence.
• Learn hows to let AI do the heavy lift, then apply judgment to maintain quality in messaging, decks, and outreach.
• See how to build a lean, durable stack. Consolidate around flexible platforms, clarify ownership, and scale only what proves ROI.