Intro to AUTONOMOUS
A welcome to AUTONOMOUS and a look at what’s ahead. Philippe de Ridder sets the stage for a day of bold ideas, real-world AI stories, and a glimpse into how organizations are becoming truly autonomous.
If you’re a CEO, innovator, or just curious about AI, this is your roadmap. Insights, frameworks, and strategies for the next era of business.
Keynote opening
15:00 - 15:10
Intro to AUTONOMOUS
A welcome to AUTONOMOUS and a look at what’s ahead. Philippe de Ridder sets the stage for a day of bold ideas, real-world AI stories, and a glimpse into how organizations are becoming truly autonomous.
Ideal for:
All attendees kicking off the day
Key learnings:
What to expect from AUTONOMOUS
How AI is reshaping business and innovation
Why autonomy is the next competitive edge

Philippe De Ridder
CEO and founder, BOI
Keynote opening
15:00 - 15:10
Intro to AUTONOMOUS
A welcome to AUTONOMOUS and a look at what’s ahead. Philippe de Ridder sets the stage for a day of bold ideas, real-world AI stories, and a glimpse into how organizations are becoming truly autonomous.
Ideal for:
All attendees kicking off the day
Key learnings:
What to expect from AUTONOMOUS
How AI is reshaping business and innovation
Why autonomy is the next competitive edge

Philippe De Ridder
CEO and founder, BOI
Keynote
15:10 - 15:30
Steering the Shift: Governance for AI-Driven Transformation
Mariyka Zelkovskaya shares how Danone is building the governance frameworks, data-operating models, and leadership alignment needed to steer AI-driven transformation as a core business capability. As AI accelerates faster than most organizations can adapt, she explores how strong governance enables innovation with integrity, helping leaders embed trustworthy, scalable AI into the systems, cultures, and decision flows that shape the enterprise.
Ideal for:
C-suite executives & transformation leaders championing enterprise-wide AI adoption
Heads of data governance, risk, compliance and operating model redesign
Key learnings:
What governance structures will support AI at scale: from data to deployment
How leadership, culture and operating model alignment will drive real-business outcomes from AI
Which approaches will enable AI to shift from a pilot mindset to a trusted enterprise-capability

Mariyka Zelkovskaya
Director, Business Data Governance Transformation, Danone

Fireside Chat
15:10 - 15:30
Scaling AI at the World’s Largest Retailer
Few companies operate at Walmart’s scale - or face its complexity. In this session, Dave Glick joins BOI’s Philippe de Ridder to reveal how the world’s largest retailer is making AI part of its core DNA. From early experiments to enterprise-wide systems, hear how Walmart is reshaping its culture and operations to become an AI-first organization.
Ideal for:
Leaders responsible for AI transformations
Executives in retail & operations
Key learnings:
How to align leadership, culture and transformation to scale AI across a global business.
How to build AI programs that move from PoC to measurable business value in retail.

Dave Glick
SVP, Enterprise Business Services, Walmart
Keynote
15:30 - 15:50
Alexandria: Building a Knowledge Corporate Vault / Industrializing Intelligence
We stand at a unique crossroads in history — perhaps as the last generation of professionals who have refined their expertise through the slow and deliberate art of experience. Decades of experimentation, intuition, and human mentorship have shaped a profound yet fragile understanding — difficult to replicate and even harder to preserve. Today, we face the urgent need to accelerate this process of understanding. Artificial Intelligence offers us the means to do so — to activate intelligent agents capable of distilling entire domains of knowledge into structured graphs and ontologies that both preserve human wisdom and project it into the future. Alexandria was conceived as a response to that challenge: an industrialized framework to capture, curate, and deploy corporate knowledge at scale — transforming scattered expertise into a living, evolving asset.
Ideal for:
Leaders building internal AI platforms
Teams working on knowledge management and data strategy
Key learnings:
How to transform knowledge into an enterprise asset
Lessons from scaling AI and data platforms globally
The role of AI in enabling smarter, faster decisions

Dimitris Bountolos
Chief Information & Innovation Officer, Ferrovial

Keynote
15:30 - 15:50
Make AI Stick: Operating Model, Funding, Governance That Work
Building AI is one thing. Making it stick is another. This session dives into the structures, incentives, and governance models that make AI scalable, sustainable, and valuable across the enterprise.
Ideal for:
Executives scaling AI across the business
Leaders shaping enterprise AI strategy
Key learnings:
Why AI pilots lose momentum
How to fund and govern AI for the long term
What it takes to embed AI into daily operations

Ritu Chakrawarty
Gen AI Solutions Strategy, AbbVie

Keynote
15:50 - 16:10
Lessons Learnt from Implementing AI in Enterprises – Why So Many of Them Fail
Despite big investments, most AI projects still struggle to deliver impact. Tiger Tyagarajan shares lessons from years of enterprise transformation - why AI initiatives fail, and what leading companies do differently to turn pilots into real business value.
Ideal for:
Executives leading AI adoption
Transformation and innovation leaders
Key learnings:
Common pitfalls in enterprise AI rollouts
What separates success from failure
How to translate AI ambition into measurable outcomes

Tiger Tyagarajan
Former President and CEO, GenpactBoard Member at Jabil and more. Senior Advisor at Bain Capital, BCG and more

Keynote
15:50 - 16:10
AI Native by Design: Imagining the Next-Generation Enterprise
What would a company look like if it were designed for AI from day one? Tobias Rees explores the idea of the "AI-native enterprise," where creativity, decision-making, and structure evolve around intelligent systems, not legacy models.
Ideal for:
Leaders reimagining organizational design
Innovators shaping future-ready companies
Key learnings:
What defines an AI-native enterprise
How AI reshapes roles, teams, and decisions
Why design thinking matters in the age of AI

Tobias Rees
Senior Fellow, Google
Keynote
16:10 - 16:30
Autonomous Growth
AI is rewriting how businesses grow. The companies pulling ahead aren’t just automating their old playbooks - they’re reinventing them. They’re redesigning how they innovate, market, and sell from the ground up. This session explores the rise of the Autonomous Growth OS; an AI-native model for growth that learns, adapts, and scales on its own.
Ideal for:
Leaders rethinking growth models
Innovators exploring AI-driven strategy
Key learnings:
What autonomous growth looks like in practice
How AI can unlock self-reinforcing business models
Steps to build organizations that scale themselves

Philippe De Ridder
CEO and founder, BOI
Keynote
16:10 - 16:30
The Importance of Brand in the Age of AI
As AI agents begin to search, recommend, and even buy on our behalf, brand takes on a new kind of power. This session explores how identity, trust, and emotional connection will define success in the era of agentic commerce - where decisions are driven not just by people, but by intelligent systems interpreting what those people value.
Ideal for:
Marketing and brand leaders navigating AI disruption in consumer goods
Business strategists and innovation leads responsible for brand resilience
Key learnings:
How AI acts as an accelerator for authentic brand purpose
Which brand foundations will guide success when AI enables hyper-personalisation
What role marketers will play in preserving human connection while scaling technology

Drew Deering
Vice President New Ventures, SC Johnson

Keynote
16:30 - 16:50
Building the AI-Native Beauty Ecosystem: Lessons in Integration, Governance and Consumer Trust
Béatrice Dautzenberg shares how L’Oréal is creating an AI-native beauty ecosystem that blends data, real-time insights, computer vision, and governance to craft personalized and trusted experiences at scale. She’ll explore how the company is reimagining its structure, systems, and brands to meet new expectations for intimacy, ethics, and innovation.
Ideal for:
Heads of product, data & AI, and transformation in consumer goods and retail
Brand and innovation executives responsible for consumer trust, digital ecosystem and governance
Key learnings:
How organizations will integrate across tech, data, product and brand to build AI-native ecosystems, not just one-off solutions
How governance, consumer trust and brand integrity will underpin scalable AI in consumer-facing industries
What frameworks beauty companies will adopt to balance hyper-personalization, ethics and business growth
Keynote
16:30 - 16:50
The AI Rocketship: Lessons from Bolt.new’s Rapid Scale
How a scrappy startup went from near-shut-down to $40M ARR in five months and what it teaches us about the future of AI-native products.
Ideal for:
Founders, product and innovation leaders
Executives exploring AI-native business models
Teams scaling early-stage AI initiatives
Key learnings:
Lessons for building defensible value in fast-moving AI markets
What defines an AI-native product — and why it scales differently
What infrastructure and operating model changes will be required to support AI-native product-builds
How to move from “cool AI demo” to market-ready product with sustainable value

Eric Simons
CEO & Founder of bolt.new

Keynote
16:50 - 17:10
Video in the AI Era
What happens when video becomes as fluid as text? This session dives into the new creative frontier shaped by AI - where stories are generated, personalized, and scaled instantly. Hear how Synthesia is redefining what it means to produce, localize, and communicate through video in a world where anyone can create anything.
Ideal for:
Marketing and communication leaders
Creators exploring AI-powered content
Key learnings:
How AI is changing video production
Real-world uses of synthetic media
What’s next for video in the age of AI

Armaghan Ahmad Khan
Principal Product Lead, Synthesia
Keynote
16:50 - 17:10
How to translate pilot wins into sustainable business outcomes
Vincent Pirenne will guide you through how organizations can move beyond isolated AI pilots to embed scalable, measurable value into their business models. He will uncover how strategy, operating model, and value-capture mechanisms must align to ensure pilots don’t just succeed but become a part of the business.
Ideal for:
C-suite executives and AI strategists focused on enterprise-scale transformation
Heads of product, innovation or operations tasked with turning AI experiments into real revenue or efficiency impact
Key learnings:
How organizations can build the “bridge” from proof-of-concept to full-scale deployment
What systems and processes are required to capture value

Vincent Pirenne
Partner, BOI
10-minute break
17:10 - 17:20
Break
10-minute break
17:10 - 17:20
Break
Keynote
17:20 - 17:40
AI Is Not a Tech Issue to Scale: It’s a Transformation Challenge
Alan Boehme will outline how scaling AI isn’t ultimately a matter of selecting the best model, but of re-imagining business culture, operating models and organizational systems. Drawing on his extensive leadership experience at major multinationals, he will explore how legacy enterprise dynamics block AI-scale and what transformation leaders must prioritize to make AI real.
Ideal for:
C-suite executives and transformation leads responsible for enterprise-wide AI adoption
Heads of business operations, IT strategy or organisational change in large corporations
Key learnings:
Why scaling AI will demand more governance, culture change and operating model redesign than new tech stacks
What systematic steps executives will need to take to turn pilots into scaled, business-impacting AI solutions

Alan Boehme
Former CIO/CTO at P&G, ING, H&M
Keynote
17:20 - 17:40
AI, You, and the Future of Work
The future of work isn’t about replacement - it’s about reinvention. Dave Drodge shares how AI is reshaping organizations like Roche, redefining how humans and machines collaborate. He’ll explore how new mindsets, roles, and operating models are enabling people to focus on higher-order work while AI manages the routine, transforming both capability and culture.
Ideal for:
Senior leaders driving workforce transformation and strategic work design
Heads of HR, digital transformation or operations tasked with future-proofing their organization
Key learnings:
How organizations will restructure job roles, workflows and skills to leverage AI meaningfully
Which human-AI interfaces will enable productivity gains, employee empowerment and strategic focus
What cultural and leadership shifts will support the transition to an AI-augmented future of work

Dave Drodge
Group Lead Digital Transformation AI & Digital Marketing, Roche

Keynote
17:40 - 18:00
From Co-Pilots to Copilots: Designing Human-in-the-Loop AI Systems
AI is moving fast, but real value is only found in systems built around human needs. Chris Covert shares lessons from a career shaping AI systems from reinforcement learning in aircraft cockpits to agentic tools for enterprise productivity, simulation, and gaming, showing how to design for trust and transparency.
Ideal for:
Product and AI leaders designing next-gen AI applications
Heads of UX, digital innovation or operating model transformation
Key learnings:
How human-centered design intersects with the era of AI innovation
What design, infrastructure and governance elements will enable human-in-the-loop AI at scale
How to avoid common pitfalls of building horizontal AI experiences

Chris Covert
CTO, AI-Native Stealth Startup
Keynote
17:40 - 18:00
The Future of AI Agents: Fast, Multimodal, Battle-Tested
AI agents are moving from demos to deployment. Shelby Heinecke shares how Salesforce is building the next generation of fast, multimodal, and reliable AI agents, and what it takes to make them work in real enterprise environments.
Ideal for:
AI and product leaders deploying agentic systems
Innovators exploring next-gen enterprise AI
Key learnings:
How multimodal agents are evolving
Lessons from real-world enterprise applications
What makes AI agents scalable and trustworthy

Shelby Heinecke
Agentic AI & On-device AI, Salesforce

Keynote
18:00 - 18:20
AI-native Entertainment
Jason Zada, the Emmy Award–winning director behind Coca-Cola’s 2025 AI-generated Christmas commercial, explores how entertainment is evolving into AI-native experiences — where storytelling, audience participation, and technology converge to create content that’s hyper-personalized and truly lived, not just watched.
Ideal for:
Creative leaders, entertainment strategists and technology innovators shaping consumer media
Brand, marketing and content executives exploring next-gen audience experiences
Key learnings:
How entertainment will move from passive consumption to interactive, AI-driven worlds tailored to the user.
What creative, technical and operational shifts will be needed to build AI-first content ecosystems.
How brands and creators will balance personalization, authenticity and scale in AI-native storytelling.

Jason Zada
Emmy-winning American director and screenwriter

Keynote
18:00 - 18:20
Purpose-Built AI: Designing With Intent
As AI embeds across the enterprise, the question isn’t what to build, but why. This session explores how intentional design aligns AI with real business and human goals, ensuring it remains focused, ethical, and valuable from data to experience.
Ideal for:
Product leaders & designers shaping AI-powered experiences
Teams aiming to embed AI in media, entertainment or service platforms
Key learnings:
How to define “intent” when building AI systems
What design practices make AI feel human-centered and reliable
Ways to align AI design with business goals and user trust

Josh Lovejoy
Probabilistic UX, Amazon Prime Video

10-minute break
18:20 - 18:30
Break
10-minute break
18:20 - 18:30
Break
Keynote
18:30 - 18:50
Why the Success of AI Will Always Come Down to User Experience
Jon Temple argues that true AI success depends not on technology alone, but on the user experience built around it. He’ll show how enterprises can prioritize design, empathy, and seamless human–machine interaction to ensure AI isn’t just powerful, but trusted, adopted, and genuinely useful.
Ideal for:
Heads of product, UX and AI who are building user-centric AI solutions
Business and transformation leaders who want AI to deliver real uptake and impact
Key learnings:
How focusing on UX will determine AI adoption, value realisation and user trust
What design and research practices will ensure AI systems deliver usability—not just novelty
Why user-centered design must sit alongside data science and engineering to scale AI successfully

Jon Temple
Design Lead for AI & Automation, IBM

Keynote
18:30 - 18:50
5x Growth with AI: Rethinking Enterprise Transformation
Danilo McGarry draws on his experience scaling AI in global enterprises to show how AI isn’t just a bolt-on tool, but a catalyst for 5× growth when baked into your transformation strategy.
Ideal for:
Execs overseeing digital or AI strategy
Transformation leads seeking to turn pilot projects into full-scale business impact
Key learnings:
How to rethink transformation through an AI lens
Frameworks for using AI to grow valuation and scale operations
Real-world success patterns from Danilo’s enterprise engagements

Danilo McGarry
Top 20 in the world for AI & CEO of AI First Maker (AFM)
Keynote
18:50 - 19:10
Making Agentic AI More Trustworthy
How do we build AI agents we can actually trust? This session breaks down the essentials of transparency, accountability, and control - so autonomy doesn’t come at the cost of confidence.
Ideal for:
Leaders deploying AI agents or autonomous workflows
Architects and governance professionals ensuring safe AI operations
Builders creating autonomous agents
Key learnings:
What makes an AI agent “trustworthy” in a business context
How to design for human-agent collaboration rather than replacement
Governance guardrails and auditing practices for agentic AI

Tej Luthra
Global Head - Data & AI, AWS, and Forbes Council Member

Keynote
18:50 - 19:10
Accountable Acceleration: Gen AI Fast-Tracks Into the Enterprise
As generative AI moves from pilot projects to enterprise-scale impact, accountability is the new frontier. Drawing on insights from Wharton’s 2025 AI Adoption Report, Stefano Puntoni unpacks how leading organizations are turning experimentation into measurable ROI - and why the next wave of competitive advantage will depend less on the tools themselves and more on how leaders align talent, training, and trust to unlock value.
Ideal for:
Senior executives and transformation leaders
Heads of innovation, strategy, or AI enablement
Decision-makers shaping AI investment and governance
Key learnings:
Everyday AI: Usage Is Now Mainstream
Proving Value: Measuring Investment, Impact & ROI
The Human Capital Lever: Aligning Talent, Training & Trust

Stefano Puntoni
Faculty Co-Director, Wharton Human-AI Research

Keynote
19:10 - 19:30
Scaling AI in the Enterprise; What It Takes and What We Learned
Drawing on her experience leading AI transformation at Telstra, Dayle Stevens shares what it really takes for large organizations to scale AI beyond pilots. She’ll unpack the foundations, operating models, and culture that enabled Telstra to turn experimentation into impact - along with the key lessons, enablers, and missteps that shaped the journey.
Ideal for:
C-suite and senior leaders tasked with enterprise AI adoption
Heads of data, analytics, AI, transformation or operations in large firms
Key learnings:
How should organizations shift from isolated AI projects to enterprise-wide AI platforms and capabilities
What foundational elements (data architecture, governance, reuse models) will support scalable AI
Which lessons Telstra and peers have already identified on cost, value realization and organizational alignment

Dayle Stevens
Data & AI Executive, Telstra

Keynote
19:10 - 19:30
How to Build AI-Native GTM Teams
Go-to-market is being rebuilt for the AI age. Marcel Santilli shares how teams are evolving from traditional funnel playbooks to AI-native, workflow-based systems built for speed and scale. Drawing on his work at GrowthX AI and across high-growth organizations, he explains how to combine human expertise, automation, and agile structures to stay ahead.
Ideal for:
Heads of sales, marketing, growth and GTM operations looking to lead AI-powered transformation
Transformation and innovation leaders aiming to embed AI into commercial teams and workflows
Key learnings:
How GTM teams will shift from manual processes to AI-native workflows and roles
What operating model shifts will be required to enable AI-first GTM
How should organizations measure and scale GTM performance in an AI-driven world

Marcel Santilli
CEO, GrowthX.ai

Masterclass
19:30 - 20:00
Safeguarding AI Investments: Ensuring Value Beyond the Build
As AI investments scale into the millions, ensuring lasting value becomes critical. This session explores how organizations can protect the success of their AI spend - from aligning business outcomes to maintaining performance, adoption, and trust long after launch. Learn what it takes to make sure the million-dollar build delivers and endures.
Ideal for:
Senior leaders and transformation executives overseeing AI programs
Heads of innovation, data, and product responsible for scaling AI initiatives
Strategy and finance leaders ensuring ROI and governance for enterprise AI investments
Key learnings:
How to connect AI initiatives directly to measurable business outcomes
The governance and operating models that sustain AI performance post-launch
How to anticipate adoption, maintenance, and change-management challenges
Practical strategies for protecting the ROI and resilience of large-scale AI programs

Jonathan Chen
Managing Director AI Strategy, BOI
Keynote
19:30 - 20:00
From Pilot to Production: Building Scalability, Performance and Trust Architecture for Enterprise AI Agents
Surojit Chatterjee, CEO and Founder of Ema explores how to move enterprise AI agents out of pilots and into full production, with a focus on scalable architecture, high performance, and the trust frameworks you shouldn't skip.
Ideal for:
Heads of AI, analytics or transformation responsible for scaling up models
Enterprise architects and engineering leads building the infrastructure for AI-agents
Key learnings:
How to design agent-based AI systems for scale and reliability
Performance optimisation and metrics you should track when moving into production

Surojit Chatterjee
CEO and Founder, Ema
