On Demand
AI
AI Engineering
Scaling
Technology
Overview
Sometimes chasing “bigger” AI isn’t the answer—instead, success comes from approaches that actually work in practice.
The esynergy Tech Series is our flagship event, bringing together insights from thought leaders across industry on the topics that mattered most to today’s tech professional community—while creating space for networking, knowledge-sharing, and learning.
This edition is dedicated to understanding how organisations can move beyond AI pilots and deliver enterprise-wide impact that lasted.
Hosted by Prasad Prabhakaran, HeThe esynergy Tech Series is our flagship event, bringing together insights from thought leaders across industry on the topics that matter most to today’s tech professional community—while creating space for networking, knowledge-sharing, and learning.
This edition is dedicated to understanding how organisations can move beyond AI pilots and deliver enterprise-wide impact that lasts.
Hosted by Prasad Prabhakaran, Head of AI at esynergy, the expert panel will feature Nigel Guy, Director and AI Adoption Lead, Head of Data Migration and Data Transition, SMBC, Russ Miles, Head of Platforms, Clearbank and Tim Howard, Deputy Director, Major Projects, Cross-Cutting Technical Services, Defra.
Together, they share how organisations are moving from small-scale pilots to responsible AI at scale – balancing speed with governance, and innovation with compliance. Expect practical insights into how AI can be embedded with the right guardrails, processes, and monitoring to deliver measurable results, not just hype.ad of AI at esynergy, the expert panel featured Nigel Guy, Director and AI Adoption Lead, Head of Data Migration and Data Transition, SMBC; Russ Miles, Head of Platforms, Clearbank; and Tim Howard, Deputy Director, Major Projects, Cross-Cutting Technical Services, Defra.
Together, they shared how organisations moved from small-scale pilots to responsible AI at scale – balancing speed with governance, and innovation with compliance. Attendees gained practical insights into how AI could be embedded with the right guardrails, processes, and monitoring to deliver measurable results, not just hype.
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Speakers
Discover industry leaders from Clearbank, SMBC, Defra, and more for a panel discussion that explores how AI can be embedded with the right guardrails, processes, and monitoring to deliver measurable results.
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Nigel Guy
Director and AI Adoption Lead, Head of Data Migration and Data Transition, SMBC
Russ Miles
Head of Platforms, Clearbank
Tim Howard
Deputy Director, Major Projects, Cross Cutting Technical Services, Defra
Prasad Prabhakaran
Head of AI, esynergy
Prasad has worked on data and AI solutions with Microsoft, HSBC, Samsung, Howden Group, Janus Henderson, and ABN Amro. Key projects span LLM and RAG enabled intelligent document processing for Howden, AI agent design for HMRC, ONS, Semoto, and Connected Mortgage, pricing models for Samsung, credit risk models for HSBC, anomaly detection for Mitsubishi, and code quality prediction for Microsoft. He specializes in GenAI, machine learning, data science, and AI product development. He also founded a startup himself that built an AI tutor for personalized, adaptive learning so would be happy to chat with another founding team too!
Delivering AI value fast - Moving from experimentation to engineered AI MVPs with clear operational goals and measurable outcomes.
Smart starts, not big bets - Using lightweight AI protocols and delivery frameworks to reduce risk, increase repeatability, and accelerate adoption.
Context engineering in practice - Building AI systems that understand the business environment as well as the data they consume.
AI in legacy environments - Integrating modern AI into existing systems without the need for costly rewrites or full-stack replacements.
From experiment to enterprise - Embedding AI engineering discipline, governance, and guardrails to scale responsibly across the organisation.
Audience
Who it's for
Our flagship Tech Series brought together senior technologists, data leaders, and AI practitioners from across the public and private sectors, offered a mix of practical insights and forward-looking strategies.
The event covered guidance on scaling AI responsibly, embedding governance and operational guardrails, integrating modern AI into legacy systems, and turning pilots into measurable business impact. Whether you’re building AI solutions day-to-day or shaping enterprise-wide data strategy, this session delivers actionable insights for all.
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