
Risk intelligence software
Supply Wisdom case study
Enterprise risk assessment AI for Fortune 1000 and top US banks.
Results
- 5
- Qualified Fortune 1000 meetings in 2 months
- 10
- Additional bank meetings in 2 months
- $10M+
- In pipeline generated
- EU
- Expanded the same motion into the EU with similar results
The bottleneck.
Internal SDR team was generating less than one meeting per rep per month. Manual list building against the fractured US banking and credit union market was breaking down.
What we did.
Used AI to build a qualified decision-maker list covering every bank in the US, then deployed our fully managed SDR team to run phone outreach against it. The managed SDR team ran cold calls layered with LinkedIn outreach (10,359 connections sent, 15.8% acceptance, 16.9% message reply rate).
More client results
HubEngage: HR technologyInternal HR SaaS focused on employee communication and retention.OR Trax: Healthcare technologyHealthcare SaaS serving hospitals and surgery centers. Exited to Banyan Capital.Westlink: Software development servicesSoftware development partner serving logistics and startup buyers.Big Think Capital: Commercial lendingCommercial lending, scaling outbound as a predictable pipeline channel.
Keep exploring
How Revenue as a Service worksThe managed model that owns strategy, data, infrastructure and execution end to end.The 90 day operating cycleAudit and diagnosis, revenue buildout, controlled execution, then optimize and scale.The full capability surfaceEvery function required to build and run the revenue engine.Named client resultsReal programs and the measurable pipeline outcomes they produced.The team behind the programsOperators who build and run the revenue engine, not consultants who describe it.
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