

Samuel Kehinde Ayo
Senior AI/ML engineer, Data Scientist, Head of engineering
Lagos, Nigeria
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Sam Ayo is a seasoned and highly skilled hands-on AI engineer/data scientist with years of experience in software, data, and AI consulting. He has a proven track record in the design, development, and deployment of machine learning systems, enterprise-scale data products, and multi-phased AI solutions.
With a background in economics and AI, Sam Ayo is a 3-time AI hackathon winner and has been heavily involved in building ML solutions across various cross-industry fields, including Media & Advertising, IoT, Retail, and Energy.
Sam Ayo's expertise and achievements have earned him speaking opportunities at prestigious events. He was honoured by the Federal Minister for Digital Economy and Innovation, Dr Bosun Tijani at the National AI Strategy Conference 2024 in Abuja.
Sam Ayo was invited to speak at the Nigeria Computer Society, the global body for computer science in Nigeria, where he shared insights on the intersection of AI and business impact. He also had the privilege of speaking at the Microsoft Student Learn Community, delivering a talk on leveraging AI for real-world applications to aspiring technologists.
In addition to these engagements, Sam Ayo has been a featured speaker at the Ehingbeti Summit for technology, a renowned conference that brings together thought leaders and industry experts to discuss technological advancements and their impact on various sectors. At the Ehingbeti Summit, Sam Ayo provided valuable insights into the transformative power of AI and data science in driving innovation and sustainable development.
As a versatile and dynamic professional, Sam Ayo is renowned for his results-driven leadership. He thrives on complex problem-solving, creating value streams across product delivery lifecycles, and delivering outstanding results that help companies take their data strategy from plan to prototype to profitability.
Beyond his professional accomplishments, Sam Ayo is dedicated to knowledge sharing and collective growth. He actively engages in community mentorship, open-source development, meetups facilitation, technical writing, and research, contributing to the advancement of AI and data science.
With his deep expertise, commitment to excellence, and passion for sharing knowledge, Sam Ayo is a sought-after speaker and a valuable asset in driving innovation and success in the field of AI engineering and data science.
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Beyond Chat: Architecting Intelligent Agentic Workflows for Finance Systems in Azure AI
AI in finance is no longer about automating isolated tasks, it’s about designing autonomous agents that can reason, retrieve, and act across complex, high-stakes workflows. Finance systems demand more than chat: they require decision-grade intelligence that is secure, compliant, and scalable.
For this session, we’ll explore how SOTA agentic AI is reshaping financial operations using Azure AI. Traditional rule-based systems often fail when workflows involve uncertainty, causal reasoning, or integration across multiple data sources. Agentic workflows, powered by large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration, succeed where traditional systems fall short.
We’ll examine patterns and architectures for building finance-grade AI agents on Azure AI, highlighting how they can:
- Automate document-heavy processes like policy reviews, KYC, and regulatory reporting.
- Support risk assessment and decision-making by combining structured and unstructured data.
- Deliver trustworthy, compliant workflows through responsible AI guardrails.
By the end of this session, participants will be able to:
- Design finance-grade agentic workflows using Azure AI, RAG, and multi-agent orchestration.
- Implement practical use cases such as KYC automation, policy document analysis, and compliance reporting with LLM-powered agents.
- Apply responsible AI principles to ensure trust, compliance, and scalability in financial systems.
This session will mix real-world case insights with practical demos, I will be unpacking my production eperience showing how financial organizations can go beyond chatbots and move towards enterprise-ready intelligent agents. Whether you’re a developer, architect, or decision-maker, you’ll leave with actionable strategies to start building your own agentic workflows for finance systems on Azure AI.
droidcon Uganda 2023 Sessionize Event
Azure Nigeria Community Conference 2023 Sessionize Event
DatafestAfrica 2023 Sessionize Event

Samuel Kehinde Ayo
Senior AI/ML engineer, Data Scientist, Head of engineering
Lagos, Nigeria
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