Enterprise AI & Digital Transformation
I help global organizations deliver enterprise AI, modernize technology platforms, and govern innovation at scale — bridging strategy, execution, and risk in highly regulated environments.
Senior Information Technology Officer at the World Bank Group, with 25+ years leading enterprise programs across AI, cloud modernization, governance, and large-scale delivery.
About
Seydou Ly is an enterprise technology leader with more than 25 years delivering complex transformation initiatives across software engineering, enterprise architecture, cloud modernization, program leadership, and artificial intelligence.
As a Senior Information Technology Officer at the World Bank Group, he leads strategic technology initiatives supporting global operations and enterprise-scale transformation — spanning enterprise AI adoption, governance frameworks, content platforms, portfolio management, and large-scale delivery programs.
Most notably, Seydou led delivery of the institution's first production AI solution and helped shape the enterprise AI platform that enables responsible, scalable AI adoption across the organization. He has built a reputation for bridging business strategy, technology execution, governance, and stakeholder alignment — working fluently across executive leadership, technology teams, risk organizations, and operational stakeholders to deliver measurable outcomes in highly regulated environments.
“Practical innovation — combining strong governance, disciplined execution, and emerging technologies to create sustainable business value.” — Leadership philosophy
Experience & Roles
25 years of enterprise IT and AI delivery, most recently in one of the world's most complex regulated, multinational environments. Four representative outcomes.
Conceived, built, and shipped the first operational AI product at the institution — automating audited financial-statement review with computer vision and cognitive services. Earned an institutional innovation award and became a reference model for AI in audit-sensitive environments across peer organizations.
Owned the roadmap, integration, governance, and adoption strategy for a secure, role-based internal AI assistant now used institution-wide — with responsible-use guardrails established alongside legal, privacy, and information security from day one.
Productized retrieval pipelines, document extraction, vector search, and analytics into a shared catalog with standardized intake, design, and release — giving the organization a repeatable path from idea to production at scale.
Mobilized 80M+ documents across business units and global country offices onto cloud platforms — delivered remotely — establishing the audit-ready data foundation that downstream systems, dashboards, and AI workflows now depend on.
Skills & Expertise
Lead AI initiatives from concept through deployment while balancing innovation, governance, risk, and business value.
Establish frameworks, operating models, and controls — NIST AI RMF–aligned — that enable safe and scalable AI adoption.
Modernize business processes, platforms, and technology capabilities to improve efficiency and organizational outcomes.
Manage large, complex programs across multiple stakeholders, vendors, technical teams, and executive sponsors.
Guide cloud, platform, and application modernization initiatives that support long-term organizational objectives.
Partner with security, privacy, legal, and audit to deliver outcomes with governance built in — not bolted on.
Contact
Available for executive and director-level roles in enterprise AI, AI governance, and digital transformation. Share a few details and I'll respond personally.