Yearly pipeline from USD 548K to USD 2.2M
A referral-dependent security firm with real strengths and no demand function, turned into a system that produces four times the pipeline.
Case studies
What we found, what we did phase by phase, what we tested, and what it produced. Client names are withheld, and every figure is reconciled with the client's own reporting.
Side by side
Both engagements ran on the same model and the same five phases. What changed was where each one started.
Exhibit 3. The two engagements compared
| Cybersecurity services firm | AI healthcare company | |
|---|---|---|
| Starting point | Strong delivery, no marketing, pipeline from referrals | Strong search and product-led growth, no outbound, LinkedIn or email |
| Buying committee | CISO and CIO | CIO, CMIO and the operations executive |
| The deciding insight | Fix the foundation first. The Google partnership was the biggest unused asset | Product users inside target accounts were the way in |
| Phases | Full sequence over twelve months, three months of repair first | Assess, Fix and Build in two months, scaling from month three |
| Headline result | Yearly pipeline from USD 548K to USD 2.2M | USD 1.02M ARR closed, USD 7M qualified pipeline |
Start here
Both engagements started the same way. Findings shared in full, with a prioritised repair list, before anything is agreed.