Enterprise Case Study
Building a Scalable Foundation for Enterprise AI
A large regulated enterprise sought to bring structure to growing AI demand. Curate implemented a scalable intake, evaluation, and governance model that improved prioritization and accelerated execution.
Our Approach
Curate partnered with business, technology, data, and governance stakeholders to introduce a structured framework for managing AI demand across the organization. Rather than focusing solely on individual use cases, the engagement established a scalable operating model that improved how opportunities were captured, assessed, prioritized, and advanced toward execution. The approach balanced innovation with the realities of operating in a highly regulated environment, creating consistency while aligning with existing enterprise processes
Established a standardized intake process for AI opportunities across business functions.
Implemented a repeatable evaluation framework to assess value, feasibility, risk, and readiness.
Connected business, technology, compliance, and governance teams through a shared operating model.
Developed scalable pathways for prioritization, execution, and ongoing portfolio management.
Offerings Accessed
AI strategy and governance
Data and technology advisory
Enterprise operating model design
Impact
Improved visibility and prioritization of AI opportunities across the enterprise.
Reduced fragmented experimentation through a consistent intake and evaluation process.
Created a scalable foundation for ongoing AI adoption, governance, and execution.
Ready to Operationalize AI Across the Enterprise?
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