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Can't We Just Vibe Code It? A Straight Conversation on Build vs. Buy
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Executive Summary
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 45-minute conversation, CaptivateIQ's Daniel Shivdash and UserGems RevOps leader Justin Ryan are getting honest about where AI-built tools earn their place, where production raises the bar, and what changes when every rep's paycheck depends on the answer.
What You’ll Learn
Using sales planning and commissions as the working example, you'll walk away with:
- A simple test for what belongs in a prototype and what belongs in production
- The cost lines most build estimates leave out, and how to compare TCO over two to three years
- Five questions to put to any in-house build before committing engineering time
- How AI agents and MCP connect live business data to the AI tools your team already uses
- Live answers to your toughest questions
What to Know Before You Build
A working prototype answers one question: can we build it? Running comp in production, pay period after pay period, raises a lot more. Here's a preview of the frameworks you'll take back to your team.
When to Build
Even teams with strong AI engineering talent have to choose. Hear how they weigh build vs. buy.
The Math
What a realistic cost comparison includes, from the first build to every change after launch.
Agents + MCP
How AI agents and MCP are changing what purpose-built platforms can do with your live data.
Inside the Conversation
Five candid segments and a live Q&A, built around a system where few things carry higher stakes for trust and accuracy: sales planning and commissions. Here's what we'll cover.
Complete the form above to watch the webinarSpeed, control, and a low upfront cost are real advantages. We start by giving them their due.
Why a tool that demos well can still fail its first security audit, and what production demands.
New fields, new segments, and the day the builder leaves. See what maintenance really costs.
Every comp error that reaches a rep becomes a trust problem. Learn what it takes to prevent one.
How agents and MCP grounded in live comp and planning data reshape the build vs. buy decision.
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