Enterprise programs
recovered under pressure.
Selected engagements from our principals’ careers, including work at prior firms. Four recovery examples and one AI architecture engagement.
From 100+ redundant modules to a single patient record.
Crisis
A merger across hundreds of locations left 100+ redundant modules, fragmented data and no unified patient record. Costs were rising faster than integration could progress.
Intervention
Assessed the merged workflows and architecture, applied Start–Stop–Continue rationalization and established API-led integration. The governance framework assigned named executive owners.
Outcome
- 100 → 30+Modules standardized
- 20%Cost overrun reduction
- 18%Cycle time improvement
- 15%Patient engagement uplift
A stalled transformation, restructured around accountability.
Crisis
A multi-year enterprise transformation had stalled amid siloed ownership, unclear measures and heavy reliance on contractors. Business value continued to lag at each quarterly review.
Intervention
Established a transformation council, audited the end-to-end architecture and rebuilt the data foundation. Delivery shifted to proof-of-concept testing and validation.
Outcome
- 25%Transformation ROI uplift
- 17%Faster time-to-market
- 15%Operational effort reduction
- 8%CSAT improvement
A commerce platform stabilized for peak season.
Crisis
Five consecutive holiday-season collapses had eroded executive credibility. Each post-mortem blamed a different layer, while the failures continued.
Intervention
Triaged the architecture, re-engineered performance and reset governance. One executive owned the load-test milestones and remained accountable through peak season.
Outcome
- 15×Capacity increase
- 0Outages across five consecutive seasons
- RecordRevenue season delivered
Two weeks to launch. Multi-million exposure. Landed on time.
Crisis
The launch was two weeks away, with multi-million legal exposure if the date slipped. The program lacked a single owner and credible plan, and confidence in the vendor had broken down.
Intervention
Identified and automated the migration bottleneck, and tested and tuned platform performance. Embedded senior leadership coordinated an around-the-clock sprint to launch.
Outcome
- On timeEnterprise launch
- 0Launch-delay exposure avoided
- 2 yrExpansion secured post-launch
Responsible AI for fintech, embedded at the architecture level.
Mandate
A compliance-first fintech platform using live financial data needed AI to guide consumer credit behavior, with privacy, auditability and regulatory readiness built into the design.
Architecture focus: Governance, controls, validation, auditability and secure data handling were incorporated into the design.
Risk
- Live financial data
- Consumer credit decisions
- Hallucination risk
- Privacy exposure
- Startup timeline pressure
Intervention
Designed and built a governed AI architecture: policy-gated workflows, prompt controls, response validation, audit logging and backend-mediated LLM execution.
Outcome
The resulting architecture combined secure data handling, backend-mediated inference, audit logging and delivery automation.
Productivity impact
AI accelerated architecture, documentation, implementation planning and governance design with a lean founder-led team.
The relevance: AI architecture shapes operating responsibilities and the evidence available to support a scale decision.