About

A decade of enterprise transformation โ€” now building the AI that scales it.

Ayo Ashiru is a product and AI-transformation leader with over a decade delivering enterprise-scale technology, data, and digital transformation across Mars, Shell, BP, Citi, and Deloitte.

He specialises in scaling AI-enabled products, enterprise platforms, and operating models that transform complex business operations โ€” pairing deep product leadership with hands-on enterprise AI architecture. Today he designs and builds secure, governed multi-agent systems that integrate AI, cloud, and business workflows to deliver measurable outcomes.

He recently completed the Kellogg C-Suite Program in AI and Digital Transformation, focused on applying emerging AI capability to enterprise-scale execution.

What I'm building now

I'm architecting an enterprise-grade AI platform that securely orchestrates autonomous agents across business systems, APIs, and workflows โ€” with reasoning, tool orchestration, human approvals, identity, permissions, and full execution auditability built in. The research on this site comes directly out of building and operating that system.

Selected experience

Building AI Architecture

Independent2026 โ€” present
  • Architecting an enterprise-grade platform that securely orchestrates autonomous AI agents across business systems, APIs, and enterprise workflows.
  • Governed multi-agent design: reasoning, tool orchestration, human approvals, identity, permissions, and full execution auditability.

Global Product Manager, Enterprise Planning

Mars2024 โ€” 2026
  • Led global transformation of demand & supply planning, applying product-led thinking to AI-enhanced forecasting and integrated planning.
  • Designed Mars's first product-led operating model for Enterprise Planning, aligning 5 regions; deployed AI forecasting into live supply-chain cycles.

Supply Chain Data & Analytics Product Lead

BP2023 โ€” 2024
  • Delivered AI-powered planning dashboards globally, accelerating decision speed by 25%.
  • Led cloud migration of analytics to AWS; introduced O2C process-mining, cutting cycle time 20%.

Lead Product Manager

Shell2022 โ€” 2023
  • Owned customer-data integration & segmentation for Shell Marketplace โ€” +45% product engagement, +5% revenue.
  • Optimised 650+ offers across 18 sectors; delivered platform APIs to scale B2B engagement and analytics.

Product Manager (Vice President)

Citi2018 โ€” 2022
  • Launched an automated fiduciary-compliance platform processing 150K+ data points daily, reducing manual checks by 75%.
  • Built audit-traceability tooling aligned with global regulatory mandates.

Workday Product Manager

Kraft Heinz2017 โ€” 2018
  • Directed global GDPR implementation in Workday; strengthened data-governance policy and controls.

Management Consultant

Deloitte2015 โ€” 2017
  • MiFID II programme health-checks for the London Stock Exchange; risk mitigation across milestones.
  • Delivered an end-to-end redress & remediation platform for 185K customers (Co-op Bank).

Business Analyst โ†’ Senior BA (AVP)

Citi2013 โ€” 2015
  • Built FINREP/COREP regulatory-reporting requirements across EMEA, transitioning legacy systems to vendor platforms.

Education & certifications

Kellogg School of Management

  • C-Suite Program in AI & Digital Transformation (2025)
  • AI at Scale: Driving Real Business Outcomes Across the Enterprise (2025)
  • Data Strategy for Generative AI Platforms (2025)

London Business School

  • Leading Digital Transformation (2024)

ICAgile

  • Agile Product Ownership โ€” ICP-APO (2019)

Queen Mary University of London

  • BSc Computer Science
Contact

Building the architecture that scales AI?

If you're working on how AI actually scales โ€” cost, latency, safety, the systems around the model โ€” I'd like to hear about it. Direct is best: