From AI strategy
to working software.

Problem

A company needed a clearly articulated AI transformation strategy aligned with the board, covering prioritization, governance, and investment across all functions.

Solution

Enterprise AI strategy presented to the board covering portfolio prioritization, governance framework, investment criteria, and measurable KPIs for AI adoption.

Problem

A large distributor growing through acquisitions needed to unify AI and data strategy so each acquired company could be rapidly integrated.

Solution

Enterprise AI and data vision centralizing governance and integrating supply chain, pricing, and sales analytics under a unified roadmap with standardized integration playbooks.

Problem

An enterprise lacked a centralized approach to experimentation. Teams ran tests without statistical rigor, leading to false conclusions and wasted spend.

Solution

Experimentation CoE responsible for enterprise-wide A/B testing methodology, experiment design, statistical analysis, and incrementality measurement.

Problem

Large enterprises suffer from siloed data where business requests get diluted through management layers, leading to locally optimized decisions instead of globally optimal ones.

Solution

Integrated decision platform connecting data across business functions so leadership gets a unified view for enterprise-wide decision-making.

Problem

A bank needed to scale its premium client service model through data and technology. Analytics insights were not reaching the people who make daily decisions.

Solution

Embedded cross-functional data teams in every major business unit, paired with decision tools tailored to each function's workflows. Insights became part of daily decisions rather than periodic reports.