Insights on AI adoption
Analysis and perspectives on enterprise AI adoption, governance, and implementation.
Research and analysis
Analytical perspectives from our research practice. Focused on practical implementation challenges in regulated industries.
Quantifying value in enterprise AI programs
January 2026
Analysis of measurement frameworks for AI initiatives in regulated industries. Examination of metrics, reporting structures, and value realization tracking.
Governance structures for AI in financial services
December 2025
Comparative analysis of AI governance approaches across banking, insurance, and asset management organizations operating under GDPR and DORA.
Production deployment patterns for AI systems
November 2025
Study of implementation pathways from pilot to production. Analysis of technical architectures, operational requirements, and scaling challenges.
Capability development for AI adoption
October 2025
Research on organizational learning approaches for AI technologies. Analysis of training program effectiveness across enterprise segments.
Technology assessment frameworks for AI platforms
September 2025
Methodology for evaluating AI vendors and platforms. Framework for assessing technical capabilities, regulatory alignment, and implementation risk.
GDPR compliance in AI implementation
August 2025
Analysis of data protection requirements for AI systems. Case studies from financial services and telecommunications organizations.
Apply research to implementation
Our consulting services translate research findings into practical implementation approaches.
Contact us