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filler@godaddy.com
From experimentation to top-line growth, bottom-line strength, and trusted enterprise scale
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This session is now full - but is part of a global conversation, contact us for the next session near you!
hello@thetransformation.club
Thursday 10th September
CEOs, CIOs, CTOs, CDOs, Chief AI Officers, Chief Digital Officers, COOs and senior enterprise transformation leaders
The provocation:
The conversation about AI has changed.
Most enterprise boardrooms spent 2024 and 2025 funding experiments, copilots and AI pilots. Many created excitement. Far fewer reached trusted enterprise scale — and fewer still produced a measurable impact on revenue, margin, customer growth or operating performance.
The question is no longer whether an enterprise should invest in AI.
The harder questions are:
This invitation-only, off-the-record dinner brings together a small group of senior business and technology leaders to compare notes candidly on what is working, what is stalling, and what separates AI theatre from measurable enterprise value.
AuthenticAI™ is AI connected directly to an authentic business outcome. It begins with a revenue, customer, productivity, risk or operational problem - not with a model searching for a use case.
For the CEO and business leader, Authentic AI must create new revenue, improve conversion, strengthen customer relationships, increase speed to market or structurally improve the cost base.
For the CIO, CTO and CDO, it must be engineered to work reliably inside the enterprise - with trusted data, scalable platforms, security, governance, observability, human accountability and measurable adoption.
Because AI cannot be considered enterprise-ready without the guardrails, governance and security needed to trust it at scale.
Which AI investments are already increasing revenue, conversion, customer lifetime value or operating margin — and where is the ROI story still more promise than proof? How should boards distinguish between interesting experimentation and an enterprise capability capable of creating recurring economic value?
The next phase of AI will not be defined by isolated copilots. It will be defined by how enterprises redesign products, customer journeys, decisions and operating models around intelligence. Where can AI create new propositions, new channels, new revenue pools and entirely different ways of serving customers?
Is the constraint the technology — or the fragmented data, unclear ownership, weak business case, operating model and governance surrounding it? What separates AI that reaches production and adoption from AI that remains permanently trapped in experimentation?
As AI moves into customer decisions, operations and regulated processes, who is accountable when it gets something wrong? How should enterprises embed privacy, explainability, model governance, cybersecurity, responsible-AI controls, human oversight and observability without slowing innovation to a standstill?
AI is not only changing business products; it is changing how technology itself is designed, built, tested, secured and operated. What does an AI-native software-development lifecycle look like across product discovery, architecture, coding, testing, DevSecOps, platform engineering, release management and production operations? Where are engineering copilots and autonomous agents genuinely improving developer productivity, quality and release velocity - and where are they creating a new layer of technical debt, security exposure and ungoverned code?
Can an enterprise become AI-first while its data remains fragmented, its platforms remain difficult to consume and its most critical knowledge remains locked across systems and teams? What operating model brings technology, data, AI, cybersecurity and business ownership together?
The greatest value will not come from generic AI alone - it will come from combining AI with proprietary enterprise data, domain knowledge, business workflows and industry-specific decisions, spanning retail and consumer, travel and aviation, banking and financial services, telecom and media, energy and utilities, and life sciences and healthcare.
StatusNeo is one of the fastest-growing business technology consulting, product engineering and platform engineering firms, working with multiple Fortune 500 and leading global enterprises across aviation, travel, mobility, banking, financial services, retail, consumer products, telecom, healthcare and other technology-intensive industries.
The firm operates at the intersection of business consulting and hardcore engineering. Where traditional consulting often defines the strategy, and conventional engineering firms execute a predefined technology brief, StatusNeo connects the two - translating top-line growth, bottom-line optimisation and enterprise-transformation priorities into digital products, data platforms, AI solutions and production-grade engineering.
StatusNeo's genesis lies in open-source engineering and contributions to some of the world's most widely adopted technology frameworks — including as a significant contributor to and packager of Backstage.io, the open-source developer-platform framework originally created by Spotify and now used by major enterprises globally. From that foundation, the firm expanded into enterprise platforms, data and AI, and end-to-end business technology consulting - working alongside leading strategy and management-consulting firms to turn upstream business agendas into downstream, measurable outcomes.

Founder and CEO, StatusNeo
Karan Nangru is the Founder and CEO of StatusNeo. He spends his time between the US, UK and StatusNeo's global markets, working closely with CXOs across the world's leading banks, airlines, travel companies, retailers and healthcare organisations.
He is a strategic advisor to senior and managing partners at leading global consulting firms, and to the leadership teams of the businesses he works with - focused on where technology, data and AI are taking an industry next, and on the upstream business value that downstream engineering execution must deliver.

UK & Western Europe Leader, StatusNeo
Maria leads StatusNeo's growth and executive relationships across the UK and Western Europe, bringing a product-led, human-centred perspective to enterprise transformation - connecting the boardroom ambition for AI with the product thinking, experience design and engineering execution required to make it real.
This is not a technology presentation, a panel of rehearsed answers or a product demonstration.
It is a private, off-the-record discussion among leaders making consequential decisions about AI investment, enterprise technology, customer transformation and operating models.
The objective is to leave with a clearer view of where AI is already creating measurable value, what's preventing enterprise-wide scale, which foundations and guardrails are non-negotiable, and what separates Authentic AI from AI theatre.
Guest introductions, drinks, canapés and CXO networking
Welcome from the Transformation Club
Provocation: Authentic AI - Where Is AI Actually Showing Up in the P&L? Karan Nangru
The Product and Customer Lens: From AI Capability to Enterprise Adoption Maria Voskanyan
Moderated, off-the-record discussion over a three-course dinner
Closing perspectives and further networking