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Navigating AI Transformation at Scale: BT’s Blueprint for Product-Led Growth 🚀

In the fast-paced world of technology, where startups often grab headlines with their agile “fail fast” mantras, how does a colossal, century-old incumbent like BT, the UK’s leading telco, innovate and transform with AI? Kerry Small, COO of a BT business unit, shares an insightful blueprint for evolving product management, fostering a unique product-engineering dynamic, and embracing a full-stack AI transformation. It’s a masterclass in balancing speed with responsibility, and growth with critical infrastructure.

The Colossus of Connectivity: BT’s Scale & Ambition 💡

BT is no startup. With a £20 billion market cap, it’s a giant in the telecommunications landscape. Each of its “product towers” alone commands a £1 billion valuation. This immense scale presents both opportunities and unique challenges, especially when contemplating an AI-driven overhaul. Kerry emphasizes that while BT isn’t a startup, it must adopt a startup mentality in certain areas to thrive.

Redefining Product Management: The 360-Degree Vision 🎯

At the heart of BT’s transformation is a radical shift in the product manager’s role. Gone are the days of merely “shipping features.” BT is cultivating “360 product managers” who own the business. These product leaders are directly responsible for:

  • Revenue
  • Gross Margin
  • Customer Experience

This evolution leans heavily towards a General Manager (GM) model, moving product managers beyond delivery agents to strategic drivers of growth. The focus is now squarely on outcomes, not just outputs. Product managers must demonstrate precision in identifying target segments, deeply understanding customer problems, and communicating solutions coherently within the UK market.

To ensure this message permeates the organization of 300 product professionals, BT embeds these responsibilities into every product manager’s objectives and performance reviews, measuring what they achieve and how they achieve it. They also strategically hire “AI natives” to infuse fresh perspectives and capabilities, balancing them with existing talent who manage BT’s long-standing infrastructure.

The Product-Engineering Synergy: Tough Love & Best Friends 🤝

The relationship between product and engineering is crucial. Kerry champions a dynamic built on transparency, trust, and a productive tension. Product managers are encouraged to be the “engineer’s best friend,” a clear mandate understood across BT. This means:

  • Clarity: Product managers must articulate what outcome they want to achieve for the customer, not just what feature to build.
  • Protection: They shield engineers from distractions and “shiny new things” that lack genuine customer needs.
  • Support: Celebrating engineers’ great work.
  • Accountability: Critically, product managers must have the courage to pause development when technical debt starts to degrade the customer experience, allowing engineering teams to address it.

AI’s Impact: Deeper Roles, Strategic Thinking 🧠

AI is fundamentally reshaping team dynamics. While engineers can now move two to three times faster, the product manager’s role isn’t diminished; it becomes deeper and more strategic. Product managers are increasingly involved in:

  • Sensing: Anticipating market shifts and customer needs.
  • Co-creation: Working hand-in-hand with engineers from conception.
  • Strategic Thinking: Grappling with complex AI requirements like data provenance and regulatory environments.

In cutting-edge areas like security, cloud, and IoT, the ratios are indeed changing, with fewer product managers overseeing more engineers, signifying a shift towards a more overlapping, co-creative skill set.

Navigating AI Transformation: The Full Stack Approach 💾

Kerry asserts that AI implementation demands a full stack transformation, especially for a telco with monolithic legacy systems. BT’s strategy focuses on three critical layers:

  1. Infrastructure: This foundational layer demands resilience, latency, and security by design. Product managers must understand where AI inference will occur (cloud, edge, device) and what “business-critical resilience” truly entails.
  2. Data: BT treats data as a product. This is crucial for competitive differentiation or, if neglected, a significant compliance and risk liability. Ensuring data provenance, security, and reusability across core systems is paramount.
  3. Application: This is where AI becomes tangible for customers through “agentic agents.” These agents can only be trusted if the underlying infrastructure and data layers are robust and well-managed.

Ignoring the foundational layers in pursuit of “glossy cool stuff” at the application level will inevitably lead to problems.

Balancing Speed & Safety: Innovating at Telco Scale 🚦

Maintaining velocity is a constant challenge for an incumbent like BT. Unlike a startup, BT cannot simply “fail fast” when it’s responsible for critical national infrastructure— powering trains, banking systems, and emergency services. Breaking something isn’t an option.

BT’s ingenious solution: guardrails.

  • Protecting the Core: The core network, which runs these critical systems, is heavily protected with built-in security, resilience, and ethical considerations.
  • Innovating at the Edges: Around this protected core, BT fosters a “startup mentality” for experimentation.
  • Platforms as Accelerators: By building security, resilience, and ethical AI principles into platforms by design, BT removes the need for individual product teams to repeatedly seek approvals. This accelerates development significantly, cutting through the “monolith working” that slows down traditional organizations.

This approach allows squads to focus on customer pain points and build applications rapidly and competitively over these secure platforms, leveraging the core network’s vast data without compromising safety.

Strategic Prioritization: Culling Products, Cultivating Growth 🌱

BT employs a disciplined product life cycle management strategy:

  • Product Culling: To reduce technical debt and streamline operations, BT is undertaking a massive culling exercise, aiming to reduce its product portfolio from 312 to just 11 products.
  • Growth Portfolio: A minimum of 20% of the portfolio is dedicated to growth products, where “star performers” and “AI natives” are deployed on greenfield platforms, unburdened by legacy IT.
  • KPI-Driven AI Agents: Prioritization for AI agentic agents is strict: they must perform a specific task (e.g., fix faults quicker, complete provisioning jobs) and have measurable Key Performance Indicators (KPIs). This ensures AI investment delivers tangible value.

A Leader’s Lens: Long-Term Vision & Direct Impact 🔭

Kerry’s role as COO is to maintain a long-term perspective, focusing three years out. Her calendar is dedicated to:

  • P&L Management: Overseeing the business’s financial health.
  • New Profit Pools: Identifying emerging opportunities as core connectivity becomes commoditized, finding ways to add value.
  • Resource Alignment: Shifting resources from mature products to future growth areas.
  • Market Learning: Studying trends outside of telco to inform strategy.
  • Team Culture: Building a capable, adaptable team that can move with pace.

Her leadership style is characterized by directness, a focus on learning, and an unwavering commitment to cutting through noise to push boundaries and drive transformative change.

BT’s journey is a powerful testament that even the largest, most established organizations can embrace radical AI transformation, not by abandoning their core responsibilities, but by strategically redefining roles, fostering productive relationships, and building innovation safely and swiftly within intelligent guardrails. It’s a blueprint for growth that many can learn from.

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