Significant Outcomes

Turning Around a $35M Technology Modernization

Digital Transformation Turnaround

Situation. A Fortune 500 staffing firm had committed $35 million in capital to modernize its technology platform and deliver proprietary tools to its field operations. The initiative carried direct board-level visibility — and it was in trouble. The budget had bloated beyond sustainability, delivery had stalled, and confidence at the top was eroding.

Intervention. Brought in to lead the turnaround, the first move was an unflinching assessment of where the money was actually going and where hidden organizational dependencies had stalled delivery. That meant surgical reductions to the unsustainable spend, then a ruthless reprioritization around the highest-value assets and workstreams the organization could actually absorb— delivered iteratively within the constraints, not as a monolithic program built on hope. Before going to the board, the plan was validated by an independent third party. No theater, no politics, just the necessary rigor learned from decades of experience.

Outcome. The initiative was brought back within feasible budget and timelines with working technology upgrades delivered to the business. Board confidence was restored, especially in the technology leadership, with future continued funding.

Delivering a modern, machine-learning capable enterprise data stack

Elevating Data Science to an Enterprise Platform

Situation. A large enterprise was running two parallel data worlds: a data science and machine learning centric platform operating separately from the existing enterprise data processing pipeline and warehouse. The result was duplicated infrastructure, fragmented governance, and an inconsistent posture on security, compliance, and standards. That meant both bloated costs and operational risks.

Intervention. Led the merger of the ML platform into the enterprise pipeline and warehouse — consolidating onto shared infrastructure under unified standards, instead of funding and governing two stacks. The consolidation covered the full lifecycle: processing, storage, security controls, and compliance guardrails.

Outcome. Lower costs through consolidation, with stronger operational compliance, performance, data security, and standards from a single governed platform. Over $1 million saved in annualized cloud compute, storage and operational overhead costs. Modern machine learning capabilities unlocked across the whole of enterprise data and available for new business use cases.

Snapshots of successful results achieved through 25 years of experience leading dynamic organizational transformations.