Case Studies
Executive Case Studies with Quantified Outcomes
Detailed examinations of transformation programs across regulatory change, portfolio delivery, and operational performance.
80%
Audit Return Reduction
Retail Credit Control Remediation
Global private banking and wealth operations
Escalating control exceptions and repeated audit returns were increasing regulatory pressure and executive risk exposure.
- Reduced audit returns by 80%.
- Improved executive transparency through KPI-led remediation reporting.
- Stabilized control evidence quality for recurring regulatory reviews.
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30%
Operational Accuracy Lift
Regulatory Reporting Accuracy Program
Regulatory reporting and finance change delivery
Inconsistent process quality and fragmented governance were limiting reporting reliability and slowing issue remediation.
- Improved operational accuracy by 30%.
- Accelerated issue escalation and recovery speed.
- Strengthened audit readiness with clearer accountability.
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$30M+
Portfolio Delivered
Enterprise Portfolio Performance Turnaround
Finance and transformation portfolio leadership
Large portfolios required tighter budget discipline, delivery governance, and team resilience under high regulatory scrutiny.
- Managed transformation initiatives above $30M.
- Delivered 15%+ cost optimization through budget and scenario discipline.
- Sustained 95% team retention in high-pressure delivery environments.
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7
Commercial AI Products Shipped
The Practitioner's Pivot: From Regulatory Leader to AI Product Builder
Personal enterprise — AI product development programme
After twenty years leading regulatory transformation at tier-1 financial institutions, the question became whether enterprise leadership discipline could translate into the ability to build and ship commercial AI products — without a software engineering background.
- Seven commercial-grade AI products shipped live across healthcare, regulatory intelligence, recruitment, and enterprise productivity.
- Full-stack product capability built from zero — Next.js, Python, LLM orchestration, and cloud infrastructure.
- Validated problem-market fit across multiple verticals with live deployments and documented workflow impact within twelve months of first launch.
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90%
Manual PMO Overhead Automated
AgentPMO: Encoding Twenty Years of PMO Expertise into an Autonomous AI System
Enterprise product development — AI-native project governance
The enterprise PMO spends the majority of its capacity on structured data aggregation — status reports, RAID log maintenance, milestone tracking — rather than on the judgment and leadership it was designed to deliver.
- 90% of routine PMO monitoring and reporting tasks automated through layered AI agent orchestration.
- Risk signals surfaced continuously against trajectory, not captured in weekly snapshots.
- PMO leadership capacity redirected from data assembly to strategic decision support.
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7
Products Across One Lifecycle
The Health Stack: Building Seven Products Across One Lifecycle
Healthcare AI, prosthetic care, and cancer navigation
Healthcare technology portfolios are typically disconnected — a clinical workflow tool here, a compliance platform there. No coherent lifecycle connects strategy to deployment to daily patient experience. Prosthetic care is fragmented between the designer who shapes the socket and the wearer who lives in it, with no shared vocabulary bridging the gap. Cancer treatment with limb-loss implications addresses the tumour but not the identity.
- Seven live products spanning plan, test, deploy, research, record, educate, navigate.
- Healthcare Playbook: 29 plays, readiness assessment, ROI modeler, governance toolkit aligned to five frameworks.
- VITAL: 18 workflows, 54 synthetic scenarios testing workflow design before deployment.
- Prosthetic care triad: SOMA (7 research frontiers), STRIDE (time-gated daily records), Prosthetic Atlas (gait comparison, Brief Builder).
- STILL: four journey pathways for cancer and limb loss, trusted links to MSK, Amputee Coalition, and NCI.
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91%
Assessment Cost Reduction via Shared Economics
Plimsoll: Maritime Classification Applied to AI in Banking
Banking AI governance — independent reliance classification
Every bank that deploys a third-party AI system must independently assess whether it can be trusted for specific tasks under specific conditions. The assessment costs roughly $79,000 per system. The bank across the street pays the same amount to assess the same system for the same tasks. There is no shared answer, no independent register, and no classification that travels with the system.
- 91% cost reduction: solo assessment ~$79K per bank; shared Plimsoll survey ~$6.8K per bank with 20 subscribers.
- Four-tier reliance classification (L0–L3) per operating condition, replacing binary pass/fail vendor assessments.
- Delaware public benefit corporation structure: banks fund the work, vendors cannot pay or sponsor, member trust holds independence veto.
- Nine-specimen register with vendor right-of-reply demonstrating the classification format.
- Twelve-section Founder’s File with 60-month financial model, go-to-market strategy, and proposed survey clause contract language.
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3
Decision Instruments Built on One Thesis
The Decision Desks: Sealing Human Judgment to Instrument State
Decision intelligence — weather operations, space weather, and human oversight
High-consequence decisions in weather operations, space weather, and autonomous systems share a common failure mode: the decision and the data that informed it become separated. After the fact, no one can prove what the operator knew at the moment they acted. The audit trail captures the outcome but not the reasoning context. This is the accountability gap in time-critical operations.
- The Glass: 50 ensemble forecast threads, NHC guidance, AI overlay, probability terrain, and hash-chained decision records across three real 2026 storms.
- The Binnacle: Sun-Earth line CME tracking, magnetopause from live solar wind, auroral oval from Kp index, and sealed decision issuances across five operational scenarios.
- Twenty Milliseconds: human vs. 20ms AI controller on fusion plasma — humans complete 2/24 shots at real time, the controller completes 24/24, making the oversight timing problem tangible.
- Shared architecture: SHA-256 hash chains, issuance-cycle history, evidence-linked decision records, and instrument-state binding across all three products.
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