DOCUMENTED RESULTS
Measured by whether the business moved.
PAYMENTS & RETAIL
Acquired
Three months after the engagement closed, the acquiring firm cited AI strategy as a contributing factor.
A mid-market payments company serving 27,000 retailers had failed prior acquisition attempts. Marketing had no customer segmentation, no insight infrastructure, and no sales alignment. The business had gaps it hadn't named yet. The AI readiness work surfaced them.
A data hygiene review revealed 25% data inaccuracy and customer segments the business didn't know existed. Sales qualification response time dropped from 30+ days to one day. Marketing confidence increased across every measured capability. The acquisition followed three months later.
WHAT CHANGED
Sales qualification time: 30+ days to 1 day | Marketing team confidence up 60–133% across six capabilities | 25% data inaccuracy identified, along with previously invisible customer segments
The diagnostic surfaced gaps that weren't showing up on the dashboard. The business became acquirable in part because it finally understood what it had.
PRIVATE EQUITY
94%
reduction in campaign planning cycle
Agency spend down 30% per company. Across 11 CMOs.
A private equity firm brought together 11 CMOs from portfolio companies with aggregate revenues of $150M. Each was running marketing with limited internal resources, heavy agency dependence, and no systematic approach to customer insight or campaign testing. The constraint wasn't budget.
WHAT CHANGED
Campaign planning: 3.5 weeks to 2 days across all 11 companies | Agency spend reduced 30% per company while content volume and precision increased | Each company moved to 8–12 targeted customer segments without adding headcount
All 11 participants rated the engagement Excellent: the only unanimous top score at their Annual Growth Conference.
Capabilities that required outside vendors are now in-house. Output went up. Cost went down. No additional headcount.
ENTERPRISE / CONSUMER PACKAGED GOODS
4,000 Agents
built in 4 months
Enterprise AI program reaching 16,000 employees. Strategy and direct coaching.
An AI literacy program had uneven adoption across the business units driving results. Direct coaching reached 24 professionals across 8 global business units, each operating in a different market with a different resistance profile and a different definition of risk.
WHAT CHANGED
80% of neutral participants moved to daily use. Two-thirds of resistant participants converted to active use | Coached group outperformed the enterprise program on every adoption metric
Interventions matched to specific barriers in specific roles produced results that broad communications couldn't.
PROFESSIONAL SERVICES
Adoption held because practitioners drove it
A 27-person firm built an AI policy on professional trust. Pilots grew.
One adaptive AI policy built from scratch established clear boundaries between AI-appropriate tasks and human-essential interactions. Practitioner accountability was embedded into the framework. Researchers retained full professional ownership, with AI operating under their judgment.
WHAT CHANGED
AI policy and guidance defining where AI belongs and where it doesn't | Practitioner accountability model built into the framework from the start | Pilots expanded after the engagement closed, driven by practitioners themselves
Adoption held because it was built on professional trust. The policy gave people explicit agency.
NONPROFIT TECHNOLOGY
Board and C-Suite Aligned
16 leaders. Two sessions. A shared vision for long-term impact, built to hold as conditions keep changing.
A national nonprofit with $6.3M in annual revenue had been operating with multiple incompatible strategic visions across its board and executive team. Nobody had named it out loud. Resources were being committed to a direction the organization hadn't actually agreed on.
Two workshops surfaced the misalignment and resolved it. Leaders left with a unified picture of where the organization was going and why. A shared direction built to adapt.
The grant opportunities and publication-ready vision statements came after. They were outputs of clarity, not the work itself.
WHAT CHANGED
Strategic alignment resolved across 16 leaders in two sessions | Four publication-ready vision statements developed from the work | $200K+ in grant opportunities identified: AWS Imagine, Microsoft Elevate, Google AI Opportunity Fund
More progress on long-term direction than years of prior off-site retreats.
The organization needed a shared vision before it needed AI tools. Two sessions built one. Everything else followed.
CONSTRUCTION LEADERSHIP
19 leaders across two markets
10x. Every idea mapped to a specific role.
Two construction firms in Houston and Atlanta brought leadership teams together for single-day workshops. Construction ranks among the lowest AI adoption sectors nationally. Generic AI training describes capability without connecting it to job site scheduling, safety compliance, HR, or field communications. Making that connection was the work.
WHAT CHANGED
19 leaders across 2 markets and multiple management layers engaged in a single day | 10x documented AI opportunity ideas generated compared to prior sessions | Every application tied to a specific operational challenge: scheduling, safety, HR, communications
Every leader left with something tied to a challenge they already owned.