Case Study · Redflag AI

Sharpening Positioning and Pipeline Structure for an AI Risk Platform.

GTM advisor engagement. Built the early positioning, ICP, and pipeline architecture so the founding team could focus on what closes.

3
Validated buyer segments scored
1
Sharpened ICP and messaging map
v1
Pipeline stages and exit criteria installed
Buyer fit scoring

Three buyer segments, ranked by fit and urgency.

Composite fit score across pain intensity, budget authority, and current alternative — used to focus the founding sales motion.

Context

Redflag AI is an AI risk intelligence platform with strong technical signal and a wide possible market. The founding team was getting pulled in three directions and the pipeline reflected it — too many half-qualified deals, no clear exit criteria, and no shared language for who they sell to.

What I Built

A sharpened ICP and segment-fit score across financial risk, trust and safety, and brand / IP. Messaging map per segment so the founder could lead a discovery call that sounded native to each buyer. Pipeline stages and exit criteria so the team stopped carrying dead deals as forecast.

Outcomes

A focused sales motion the founding team could actually run, a forecast they trusted, and a v1 of the playbook ready to hand to the first AE. Strategic clarity replaced founder thrash without burning the optionality on adjacent segments.

Sharpen Your GTM Before You Scale

30 minutes with David to pressure-test positioning, ICP, and pipeline structure for your platform.