Win Build vs Buy by Changing the Metric

The Framework

Alon Talmor's number one competitor at Mosaic AI isn't another vendor. "Our number one competitor is build versus buy." Now that AI coding is cheap and fun, enterprise teams default to building internally, and feature-by-feature comparisons against a buyer's own side project are unwinnable: they're proud of it, and it demos well.

His framework stops arguing about features entirely and moves the conversation to a measured business result. Nobody builds their own CRM, he points out, because CRM is a solved problem. In an unsolved category, you have to make building feel obsolete instead: "it's not your company's mission, it's our mission."

The 4 Steps

1. Reframe from building to transforming. The leadership conversation is "the goal is not building with AI. The goal is transforming your company." Internal builds, in Alon's experience of seeing many, ship without dashboards or a measured end result: adoption happened, but nobody can say what changed.

2. Lead with a diagnostic, not a demo. Mosaic runs a diagnostic across a customer's tickets (send a thousand and they analyze them) that says which automations are possible, where they land, and what the cost saving would be. The prospect gets something concrete before committing.

3. Anchor on the cost number. Technical support at 1,000 to 5,000-employee companies typically costs $20 to $50 million a year, by Alon's telling. Mosaic's pitch: a 50 to 70% reduction. A team building features can't answer that sentence. "They build two features and we come in with a full result."

4. Prove it in a 5-day pilot with one metric. The pilot deploys an internal assistant that resolves cases end to end until a human just reviews and hits send. The metric is tickets resolved per support engineer per day, chosen because it survives scrutiny.

Real Numbers

• Support cost baseline: $20M to $50M annually (1,000 to 5,000-employee companies)
• Pitched reduction: 50 to 70%
• Pilot length: 5 days
• Tickets per engineer per day: one customer measured 80% growth in one week
• Deal sizes this supports: six figures, approaching seven

Why that metric and not the obvious ones: ticket volume actually rises as customers trust support more, and time-to-resolution misleads because engineers bounce between cases. Throughput per engineer is the number a CFO can't argue with.

When It Fails

This framework needs a cost center big enough to measure: Alon says the support cost "needs to be seven figures, if not eight" for the ROI math to land. If your buyer's pain is too small to carry a number, or your product can't survive a measured pilot, the diagnostic motion exposes you rather than the internal build. And pick buyers who already think in cost terms; Alon's best-performing segment is private equity-backed companies, because PE thinks in efficiency.

Your First Move

Write the one sentence your internal-build competitor can't say. Not a feature claim, a measured result: "we reduce X cost by Y%, and here's the diagnostic that proves it on your data." If you can't write it yet, you've found the real product gap. Budget an afternoon; it will change your next three sales calls.