I am Kabirat Motunrayo Ogundairo, an AI-driven supply chain and enterprise process optimization strategist dedicated to solving one of business's most persistent challenges: how to convert technology, process, and customer investments into measurable, sustained enterprise performance.
My work sits at the intersection of artificial intelligence, process engineering, and enterprise strategy — helping organizations convert technology investments into sustainable outcomes for customers, operations, and long-term commercial performance.
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End-to-end enterprise system redesign
Visibility from data to decision
Retention, churn & growth strategy
Go-to-market & adoption
Root-cause process discipline
Forecasting & evidence-based insight
Line-level efficiency & planning
Global GTM strategy & execution
Growth strategy & scalable execution
Financial strategy & audit-readiness
My career has been defined by a passion for solving complex operational and commercial challenges through data-driven decision-making, process engineering discipline, and practical execution.
Throughout my professional journey, I have worked across global technology, telecommunications, logistics, manufacturing, and nonprofit organizations — helping teams improve operational performance, strengthen customer lifecycle value, and build AI-enabled decision systems.
What distinguishes my work is my ability to connect strategic vision with practical execution, translating complex operational and technical challenges into AI-enabled systems that generate measurable and sustainable enterprise impact.
My work has delivered meaningful outcomes across customer lifecycle management, supply chain operations, AI product strategy, and enterprise transformation initiatives.
Cohort & RFM-based lifecycle modeling at MTN Nigeria drove upsell and cross-sell strategy.
Lifecycle marketing & retention strategy across one of Africa's largest telecom bases.
ML-driven acquisition strategy and strategic vendor negotiations.
Expanded subscriber base alongside ARPU growth initiatives.
AI-driven sentiment analysis & NLP feedback loop at MTN Nigeria.
Governance roadmap for unmanned RFID operations across UPS sites.
Process Reengineering & Intelligence System Model for AI-Driven Enterprise Transformation
PRISM-AI™ is a proprietary enterprise transformation framework developed to help corporations, technology companies, manufacturers, logistics networks, and mission-driven organizations systematically improve process performance, strengthen stakeholder alignment, and increase lifecycle value.
Organizations invest heavily in AI and digital transformation, yet many struggle to translate those investments into sustainable process performance, lifecycle value, and measurable ROI. PRISM-AI™ provides a structured solution by integrating five critical dimensions of enterprise transformation.
Read more ↓Identifying root-cause performance barriers across processes, technology, and operations.
Aligning stakeholders across engineering, commercial, and governance functions.
Improving performance through AI/ML-enabled intelligence and evidence-based decisions.
Accelerating adoption through capability building and change management.
Strengthening governance, audit-readiness, and long-term operational resilience.
PRISM-AI™ transforms enterprise process improvement from a collection of isolated initiatives into a measurable transformation system. The framework is applicable across:
Strategic Focus:
Led go-to-market strategy for Amazon RDS zero-ETL feature launches, built an AI-enhanced searchability agent using Amazon Bedrock, and conducted competitive benchmarking that increased customer engagement by 60%.
Directed lifecycle marketing, retention, and pricing strategy for one of Africa's largest telecommunications companies, applying AI and machine learning to reduce churn, grow revenue, and expand the subscriber base.
Led a cross-functional team diagnosing a six-figure manufacturing inefficiency, designing a digital optimization tool that replaced a manual, reactive planning process.
Led cross-functional analysis for unmanned RFID-enabled operations across 260 locations, delivering a governance roadmap and scalable audit pathways.
Supported faculty research in supply chain analytics, contributing to peer-reviewed publications and course development while tutoring undergraduate students in supply chain and operations management.
Directed monitoring and evaluation frameworks for global partners including Google, Facebook, and Schlumberger, ensuring full compliance with grant requirements across a nationwide program reaching 200,000+ beneficiaries.
I am committed to contributing to the advancement of AI-driven supply chain intelligence and enterprise process optimization through research, strategic insights, and industry engagement. I am actively developing publications, speaking engagements, and applied research that build on the PRISM-AI™ framework and extend its methodology across new industries.
Transforming Enterprise Investments into Sustainable Process Performance, Lifecycle Value, and Operational Resilience Through PRISM-AI™.
Alongside my corporate work, I contribute strategic and financial expertise to mission-driven organizations.
Advise senior leadership on revenue diversification, fundraising strategy, and financial reporting — restructuring the organization's accounting records to strengthen audit-readiness and long-term sustainability.
Certified in the process-engineering discipline that underpins the Sustain pillar of PRISM-AI™.
Pursuing a STEM-certified Master of Science in Business Analytics with a concentration in AI and Supply Chain Analytics.
I welcome opportunities to advise organizations, institutions, and leadership teams seeking to strengthen process performance, accelerate AI adoption, and build resilient enterprise systems.
Work With MeWhether you are a technology company, manufacturer, logistics network, telecommunications provider, or mission-driven organization, I help leaders design and implement strategies that generate measurable process and commercial outcomes.
I welcome opportunities to collaborate on initiatives that advance AI-driven enterprise transformation, supply chain intelligence, and enterprise process optimization.
Available for advisory engagements, speaking opportunities, and enterprise transformation partnerships worldwide.