Five engagements. Real metrics drawn from actual work. No templates, no projections dressed as outcomes, no synthetic case studies. Every number below is something I was accountable for delivering.
CareFirst BlueCross BlueShield, one of the nation's largest regional health insurers, needed to modernize its data and AI function at scale — moving from fragmented, siloed analytics operations to a unified, governed data platform capable of supporting enterprise AI adoption across clinical, operational, and financial domains.
The mandate was broad: own the entire data and AI P&L, build a credible leadership team, modernize the data infrastructure, and demonstrate measurable financial value within the first year.
Radiant Healthcare needed technology and AI strategy that directly connected to financial outcomes — not innovation for its own sake. The organization was navigating cost pressure, operational complexity across a 300+ person workforce, and the challenge of deploying AI in a regulated healthcare services environment where governance and compliance are non-negotiable.
Envision Healthcare's provider-side analytics function — supporting a $300M business — needed to demonstrate that AI and analytics investment could translate directly into revenue cycle performance and cash flow impact. The mandate was to use AI-enabled tooling to improve billing accuracy, accelerate invoice processing, and reduce days sales outstanding.
Through Soft Solutions Partners, we designed and built a commercial AI automation platform integrating GPT-4, Azure OpenAI, and Salesforce Einstein for a client whose sales team was spending the majority of their time on administrative tasks rather than revenue-generating activities. The platform automated proposal generation, CRM data entry, follow-up sequencing, and pipeline reporting — freeing the team to sell.
West Monroe Partners engaged Ben Carroll to provide AI advisory and technical due diligence capability across multiple PE client engagements. Engagements spanned both buy-side and sell-side mandates, covering healthcare, financial services, and industrial portfolio companies. The work included assessing AI maturity and risk, developing AI business cases and ROI models, designing pilot-to-scale frameworks, and codifying repeatable playbooks for AI diligence and adoption.
Every case above started with a 30-minute discovery call.