AI’s change of regime
At an American Fortune 500 financial services company, AI’s rapid evolution had introduced new risks for its data engineering workflows. Realizing the need to close the gaps, Jake Wallis, Senior Manager for Data Engineering, brought in Infosys BPM and Infosys Responsible AI Office as an advisory partner for AI governance best practices. This case study details how the organization resultantly not only gained a new, agile, and future ready AI governance framework but also positioned itself as a leader in responsible AI practices.
Approach summary:
- Review of existing policies and strategy
- Benchmarking governance maturity against NIST AI RMF
- Stakeholder interviews and collaborative workshops
- Prioritized, practical framework recommendations
- Phased roadmap for governance evolution
- Robust change management
Key Benefits:
20+ gaps identified and remediated in AI policies and procedures 
35% reduction in time to review and approve models after policy updates
77% alignment with NIST AI RMF 50% reduced effort for audit readiness 
96% stakeholder consensus 
85% AI workflows embedded with guardrails 
