AI Innovation Summit
From AI Experimentation to Enterprise Impact
Location: The Starling, Atlanta
As organizations increase investment in generative AI and intelligent automation, many face a common challenge: translating innovation into measurable business outcomes. Success requires more than technology alone. It demands the right combination of data foundations, governance, talent, culture, and financial accountability.
Through a series of interactive workshops and peer-led discussions, attendees will examine the critical elements of enterprise AI success. Topics include scaling AI from pilot to production, building AI-ready teams and cultures, establishing governance frameworks that connect AI investment to business value, and modernizing data and technology ecosystems to support intelligent decision-making at scale.
Key Themes
Scaling AI Beyond the Pilot
Explore the key levers for scaling AI successfully across your organisation
From Cost Centre to Growth Engine
Demonstrate the business value of AI investments with clear metrics and measurable outcomes.
Governance That Accelerates Innovation
Build AI governance that enables innovation, manages risk, and supports confident, scalable deployment across your organisation.
Building AI on Better Data
Learn how strong data foundations enable reliable AI outcomes and where to prioritise investment for lasting success.
Upcoming Speakers
Nan Li
Jyotirmay Gadewadikar
Bria Riley
Santosh Sinha
Agenda
2:00pm - 4:30pm
Registration
4:30pm - 4:40pm
MOC Welcome & Meet the Team
4:45pm - 6:15pm
Mission Tracks: The Catalyst
Track 1: From Experimentation to Enterprise Impact: How AI Leaders Are Scaling Beyond the Pilot Stage
Most organizations have no shortage of promising AI experiments, but far fewer have built the foundations required to operate them reliably across the enterprise. This session examines what breaks as AI moves into real workflows, from fragmented data and disconnected systems to unclear ownership, weak governance and one-off delivery models. Build a practical blueprint for creating the trusted context, reusable capabilities and operating discipline needed to turn isolated successes into dependable, business-wide impact.
Track 2: From Cost Centre to Growth Engine: Proving Business Value from AI Investments
AI investment is facing sharper scrutiny as boards and CFOs demand clearer evidence of commercial value. This session examines how leaders can connect AI initiatives to measurable outcomes across revenue growth, productivity, cost reduction and risk, while building value-tracking frameworks that hold up beyond the pilot stage. Leave with a stronger approach to defending investment, prioritizing the initiatives that matter and communicating AI impact in the language the business trusts.
Track 3: Governance That Accelerates Innovation: Building the Foundations for Scalable AI
Governance is too often treated as a brake on AI ambition, when the right controls can create the confidence needed to move faster. This session examines how leaders can build practical guardrails across risk, ethics, compliance and accountability without forcing every initiative through the same process. Leave with a scalable governance blueprint that protects the business, supports responsible experimentation and gives teams clearer pathways from approval to deployment.
Track 4: Fix the Foundation First: Why Data Readiness Determines AI Success
Every ambitious AI strategy eventually collides with the state of its data. This session examines the foundational work that determines whether AI can perform reliably at scale, from quality, access and lineage to architecture, ownership and trusted business context. Leave with a clearer view of where to invest, what to prioritize and how to strengthen the data estate without allowing foundational work to become a permanent barrier to delivery.
6:30pm - 7:00pm
Cocktail Reception
7:20pm - 9:30pm
Gala Dinner
7:30am - 8:30am
Breakfast
8:30am - 8:40am
MOC Opening
8:40am - 9:05am
Gamechanger
Beyond the Pilot Factory: Designing an AI Model That Can Scale Across the Enterprise
Scaling AI requires more than successful use cases; it requires an operating model that can repeat success across the enterprise. This session examines how hub-and-spoke structures can connect central platforms and governance with business-led delivery, while reducing duplicated infrastructure and one-off development. Leave with a practical view of how to identify the right opportunities, redesign inefficient processes and build shared capabilities once for reuse across functions and markets.
9:10am - 10:40am
Mission Tracks
The Blueprint
The four mission streams reconvene to turn Day 1's challenges into a delivery blueprint. Building directly on The Catalyst, partner-led working sessions move each stream from diagnosis to design — shaping the practical, prioritised blueprint each theme will carry into execution.
Track 1: From Experimentation to Enterprise Impact: How AI Leaders Are Scaling Beyond the Pilot Stage
Track 2: From Cost Centre to Growth Engine: Proving Business Value from AI Investments
Track 3: Governance That Accelerates Innovation: Building the Foundations for Scalable AI
Track 4: Fix the Foundation First: Why Data Readiness Determines AI Success
10:45am - 11:15am
Future on Fire
From Copilots to Digital Labor: Redesigning Work, Decisions and Accountability for Agentic AI
As AI moves from supporting employees to planning and executing work, enterprises must rethink more than the technology. This session examines how leaders can redesign workflows, roles and decision rights around increasingly autonomous systems, determine where human judgment must remain decisive and establish clear accountability when outcomes are produced by people and agents together. Leave with a practical framework for introducing digital labor without creating confusion over ownership, oversight or control.
11:20am - 11:50am
Future on Fire
The AI Decision Map: How to Pick the Use Cases That Won't Die in Pilot
Enterprise AI portfolios are filling with plausible ideas, but not every use case deserves to reach production. This session presents a practical decision map for assessing opportunities against business value, process readiness, data availability, adoption dependency, risk, cost and reuse potential. Leave with a clearer framework for deciding which initiatives to accelerate, which require redesign and which should be stopped before further time, capital and organizational attention are committed.
1:00pm - 2:05pm
The Provocation Tables
Responsible AI in Practice: Bridging Legal, Compliance and Technology
Responsible AI often breaks down not in the policy itself, but in the handoffs between legal, compliance, technology and the business.
This roundtable examines how organisations can create stronger feedback loops, define where human review is still required, escalate concerns quickly and introduce new AI capabilities safely.
Compare how peers are turning responsible AI principles into practical decisions across different functions, use cases and risk environments.
2:05pm - 2:35pm
Radical Perspectives
Build, Buy or Partner? Making the Right AI Investment Decisions in a Crowded Market
The AI vendor landscape is expanding faster than most enterprises can evaluate it, and the wrong investment decision can be costly to unwind. This session examines when to build proprietary capability, when to buy from the market and where strategic partnerships offer the strongest route forward. Leave with a clearer decision framework for balancing speed, control, cost, differentiation and long-term flexibility as technologies, vendors and business requirements continue to change.
2:40pm - 3:45pm
The Provocation Tables
3:50pm - 4:20pm
Radical Perspectives
AI Is Not a Technology Project: Redesigning Work for the Age of Intelligence
AI transformation stalls when organizations introduce new technology without changing how work is structured. This session examines how leaders can redesign processes across functions, break down silos in data, ownership and decision-making, and align people, governance and technology around shared business outcomes. Leave with a clearer view of the organizational changes required to move AI from isolated deployment into a repeatable enterprise capability that improves how the business operates.
4:25pm - 4:55pm
Radical Perspectives
How Do You Build an AI Stack That Won't Need Replacing in 18 Months?
In a market moving this quickly, today’s strategic AI investment can become tomorrow’s constraint. This session examines how leaders can build for continuous change across models, agents, platforms and infrastructure without repeatedly replacing the foundations beneath them. Leave with a clearer framework for making architectural, standards and investment decisions that preserve flexibility, control costs and prevent short-term technology choices from becoming long-term dependency.
7:15pm - 10:00pm
Offsite Evening Experience
7:00am - 8:15am
Breakfast
8:15am - 8:20am
MOC Opening
8:20am - 9:50am
Mission Tracks
The Reckoning
The mission streams converge for a candid, joint verdict. The culmination of the mission-track journey: streams come together to separate what's real from what's hype, and to lock in the concrete commitments each theme carries back to the business. The output every delegate leaves with.
Track 1: From Experimentation to Enterprise Impact: How AI Leaders Are Scaling Beyond the Pilot Stage
Track 2: From Cost Centre to Growth Engine: Proving Business Value from AI Investments
Track 3: Governance That Accelerates Innovation: Building the Foundations for Scalable AI
Track 4: Fix the Foundation First: Why Data Readiness Determines AI Success
9:55am - 10:25am
Ecosystem Exchanges
10:30am - 11:00am
Radical Perspectives
Operationalizing AI: Connecting Intelligent Workflows to the Systems That Run the Business
Most enterprises are not starting from a blank slate. AI must connect with the ERP platforms, operational systems and workflows that already run the business. This session examines how leaders can embed intelligent workflows across that existing estate, move beyond isolated use cases and turn AI into a dependable part of day-to-day operations. Leave with a clearer view of where to integrate, where to orchestrate and where existing systems genuinely need to change.
11:05am - 11:35am
Radical Perspectives
From Guardrails to Growth: Building AI Innovation the Board Can Trust
AI innovation cannot scale without executive and board confidence. This session examines how leaders can connect a clear AI strategy with responsible governance, measurable business value and the right level of control, while still preserving room for experimentation. Leave with a practical approach to aligning investment with enterprise priorities, demonstrating that risk is being managed and turning guardrails from a perceived constraint into an enabler of sustainable growth.
11:40am - 12:10pm
The AI Productivity Paradox: Turning Individual Gains into Enterprise Performance
AI tools are making individuals faster, but those gains often disappear across disconnected teams, slow handoffs and fragmented workflows. This session examines how leaders can turn personal productivity into enterprise performance by redesigning how people, agents and information move through the organization. Leave with a clearer view of how to build shared context, accelerate cross-functional execution and make AI adoption visible in business outcomes rather than isolated efficiency gains.
12:15pm - 12:45pm
MOC Closing
Why attend?
Connect with like-minded senior leaders for a curated agenda, focused on tackling your current business critical challenges and driving industry forward.
Be a part of exclusive shared learning, horizon scanning and actionable insights enabling organizations to deliver transformative strategies.
Build meaningful relationships with solution providers matched to your business priorities to help accelerate your projects and deliver your objectives.
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