Enterprise Data & AI Decision Frameworks for Executive Leaders
Helping executive teams de-risk AI and data investments before committing capital.
Why AI Programs Stall Before They Scale
Business objectives are not clearly defined
Architecture is selected before enterprise design is agreed
Governance lacks ownership and accountability
Capital is committed before structure is established
The Framework
1. Clarify Strategic Intent
Define the measurable business outcomes AI is expected to deliver.
2. Design the Enterprise Blueprint
Establish core data domains, business objects, and architectural traceability before selecting tools.
3. Embed Governance & Accountability
Align ownership, lineage, compliance, and model oversight into the operating model — not as an afterthought.
4. Align the Operating Model
Determine whether AI capabilities should be centralized, federated, or hybrid — based on business structure.
5. Sequence Investment Intelligently
Prioritize initiatives to reduce capital exposure and avoid costly architectural rework.
How I Work
I work directly with executive sponsors to:
Clarify decision rights and architectural direction before implementation begins
Align governance, ownership, and operating structure across business and technology
Sequence investment to reduce capital risk and prevent downstream rework
Who I Work With
Regulated enterprises where governance, capital discipline, and architectural clarity matter.
Including:
Financial Services
Insurance
Asset & Wealth Management
Member-based and Nonprofit Organizations
Retail / Wholesale
Experience matters when AI and capital decisions carry enterprise risk.
About Robert
Robert Peterkins is a senior data and transformation leader with over 20 years of experience across Mastercard, JPMorgan Chase, BNY Mellon, and GE.
He has led enterprise data strategy, governance, and architecture initiatives within complex, regulated financial institutions — aligning executive ambition with operational execution.
Through Bridgeway Advisory Group, Robert works directly with executive sponsors to clarify AI and data decisions before capital is deployed.