Official Premiere 10th October 2025 • 6:00 PM BST

LSET Arena

Episode One - 60 minutes. One brief. Real stakes. Live, unscripted innovation.

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What’s inside Episode One

The arena doors open on a high-stakes boardroom. A host and a judge take their seats beside three Hello AI Collective executives with a challenge that could change everything. Two student teams walk in knowing they have just 60 minutes to turn an AI idea into something real enough to survive scrutiny. Every second matters, every decision counts.

The Challenge: Fix the Handover

Businesses juggle more systems, more data, and more communication than ever. The brief set by the executives: build an AI-powered solution that improves handovers between departments, for example Sales → Operations → Post-Sales → Support by simplifying access to accurate context, setting useful triggers, and automating handover packs so customers get what they need faster.
  • Reduce time spent finding “the right data” across email, Teams, CRMs, and internal tools.
  • Use AI agents to capture context and generate handover packs automatically.
  • Design for real human adoption: if it isn’t simple and native to how people work, it won’t last.

Teams & Solutions

Team One - “Sales Signal”

Team One narrowed the brief to the sales funnel (cold → warm → hot). Their idea: deploy named AI agents (e.g., “Adam”, “Alex”) to analyse conversations and outcomes, explain why deals are won or lost, and auto-trigger next actions and handover artifacts.

How it works

  • Context capture: analyse calls/emails to detect script drift, objections, and the “why” behind wins/losses.
  • Auto-triggers: on “lost” or stage-changes, generate emails/tasks and a concise handover pack.
  • Feedback loop: push insights back to each role (sales, product, pricing) to reinforce what works.
  • Architecture: cloud-agnostic target (initially discussed on AWS, then steered toward Terraform/agnostic deployment).

Where it shines

  • Turns post-mortems into pre-mortems, spot what’s working and double down fast.
  • Generates consistent handover packs so downstream teams aren’t left guessing.

Judge prompts

Push for both positive and negative gap analysis, robust customer segmentation, and cloud neutrality. The panel liked the “why we win” focus and auto-trigger ideas; they asked for clearer agent-to-human feedback paths and more explicit security.

Team Two - “First Flow”

Team Two tackled end-to-end client onboarding and inter-team handovers. Their draft UI wireframe showed a web app where sales uploads/ingests calls or emails; AI extracts key details, assembles an order summary and smart onboarding document, and triggers account setup, tickets, training, and go-live, all while keeping every team in the loop.

How it works

  • Ingest: calls/emails added or uploaded; NLP extracts client intent, constraints, and product fit.
  • Onboarding Doc: dynamic forms based on purchased products (e.g., logos, addresses, property data).
  • Automation: once invoice + onboarding completed, auto-create accounts (N products → N accounts) and tickets (Jira, Salesforce, etc.).
  • Enablement: training environment + AI that fetches tailored materials for faster adoption.
  • Visibility: a progress bar in-app links every artifact (tickets, forms, status) for stakeholders.

Security & Governance

  • RBAC (least privilege): finance fields hidden from engineering, etc.
  • Audit logging: every human/AI action recorded for traceability.
  • Prompt-injection defenses: cleanse/guardrails for LLM prompts and agent actions.
  • Encryption: in-transit + at-rest (AES-256).
  • Retention & compliance: GDPR-aligned policies (e.g., auto-deletion windows).

Integrations & UX

Embed into Microsoft Teams (and Outlook) for native chat-style queries (“Where’s the client’s onboarding pack?”), with data hosted on Azure/OpenAI services via APIs; designed to be extendable to other stacks.

Judges & Executives

Host

Steps into the spotlight to frame the stakes and keep the clock honest.

Judge

A reputation that can make or break careers, probing for value, viability, and adoption.
Mayur Ramgir
Guided by Mentor

Mayur Ramgir - Principal Instructor (LSET)

With deep experience in AI and cybersecurity, Mayur guides teams to cut through chaos and ship under pressure—with clarity, wit, and pragmatic trade-offs.

Dan Boyles

Dan Boyles

Founder of Hello AI Collective, global AI speaker, and former Microsoft Global Master Trainer
Rob Fawcett

Rob Fawcett

Founder, The Human CTO - The Human CTO, expert in leadership, compliance, and delivery transformation
Nick Taylor

Mick Taylor

Lenovo Solutions & Services Group - Head of AI Services, UK and Ireland, at Lenovo
Rosanne Kincaid-Smith

Rosanne Kincaid-Smith

Global Technology Leader - Named among the Top 100 Women in AI and a veteran technology leader
The brilliant minds who turned pressure into performance and ideas into innovation.

Meet the Collective

Expertise in Cyber Security Analytics and Threat Intelligence
Police Lt. Col.

Seksin Seemapollakul

Police Lieutenant Colonel Seksin Seemapollakul is a police officer and Lecturer at Faculty of Police Science, Royal Police Cadet Academy, Thailand, where he teaches Economic Crime, Criminology, Crime Prevention and Suppression at the undergraduate level, and Security Management at the postgraduate level. He holds a Master of Criminal Justice specializing in Cybercrime Investigation and Cybersecurity and is currently pursuing a Ph.D. in Criminology and Criminal Justice. His academic and professional focus includes policing, economic and cybercrime, crime mapping, technology-enabled crime, and security governance.

He is currently undertaking a short course in Cyber Security Analytics and Threat Intelligence at the London School of Executive Training (LSET), aiming to enhance his ability to analyze digital threats and apply proactive intelligence frameworks within law enforcement. This training supports his mission to integrate advanced cyber threat analysis into police education, improve institutional crime prevention strategies, and strengthen national responses to evolving cyber threats in both policy and practice.

Expertise in Incident Response and Security Operations
UK-qualified solicitor

Koye Adeyeye

Koye Adeyeye is a UK-qualified solicitor at a leading global law firm, where he specialises in cyber incident response and data breach management. He advises high-profile multinational organisations on complex cyber incidents, often involving sensitive regulatory, legal, and cross-border considerations. His expertise spans legal risk assessment, stakeholder communication, regulatory engagement, and post-breach compliance.

Currently enhancing his technical capabilities at the London School of Emerging Technology (LSET), Koye is gaining hands-on experience in key cybersecurity domains, including digital forensics, log analysis, and threat intelligence. His participation in live simulations and incident response scenarios has deepened his understanding of how cyberattacks unfold and the tactical measures required to contain and recover from them.

With a keen interest in the intersection of cybersecurity, artificial intelligence, and fintech, Koye is focused on developing a unique cross-disciplinary skillset. He aims to bridge the gap between legal advisory and technical strategy, especially in high-risk sectors such as financial services. His long-term vision is to help fintechs and digital-first organisations navigate the evolving threat landscape with a robust blend of legal foresight and technical acumen.

Nadine Bersales Profile
Expertise in Software Automation Tester
Software QA, Certified Scrum Master with training in SAFe Agile

Nadine Bersales

Nadine is a full-time mum originally from the Philippines, now living in the UK. Alongside raising her family, she has maintained a strong passion for technology and continuous learning. With over ten years of experience in Software Quality Assurance, Nadine is also a Certified Scrum Master and has completed training in SAFe Agile. She is currently upskilling in software automation with Selenium and Java at the London School of Emerging Technology (LSET). Nadine is focused on continuing to build her career in technology while balancing family life, demonstrating that it is never too late to grow and learn.

Episode timeline

Timeline Highlights

  • 01:00 Arena opens; host, judge, and executives set the stakes.
  • 02:20 The Brief: cross-department handovers, context capture, triggers, automation, human adoption.
  • 17:00 Build pressure: teams break down the flow and prioritize scope.
  • 24:00 Strategy pivots; agents, segmentation, and cloud strategy debated.
  • 36:00 Team Two reveals “First Flow” mockup and flow.
  • 49:00 Judges: metrics, customer retention, prompt-safety, and adoption.
  • 58:00 Verdict: Team Two wins.
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