AI has made it possible to build a working internal tool in an afternoon, from a pipeline dashboard to a territory model to a commission calculator. RevOps and finance teams are asking a fair question: which of our systems should we build, and which should we buy? The answer depends on what happens after the first demo.

In this conversation, CaptivateIQ host Daniel Shivdash and Usergems’ RevOps leader Justin Ryan talk through where AI-built tools earn their place and where production raises the bar: accuracy, security reviews, audit trails, changes mid-year, and the day the person who built the tool moves on. You will hear how teams with strong AI engineering talent decide between building and buying, what a realistic two to three year cost comparison includes, and how AI agents and MCP are changing what purpose-built platforms can do. We will use sales planning and commissions as a working example, since few systems carry higher stakes for trust and accuracy.

Bring your toughest questions. We will answer them live.

• A simple way to decide what belongs in a vibe-coded prototype and what belongs in production.
• The cost lines most build estimates leave out, and how to compare total cost of ownership over two to three years.
• Five questions to put to any in-house build before committing engineering time.
• A closer look at planning and commissions, where errors reach reps and revenue, and what that means for build vs. buy.
• How AI agents and MCP connect your live business data to the AI tools your team already uses.

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