Trust, Data, and the Agentic Future: A Panel Discussion

Four industry leaders. One unfiltered conversation. What it actually takes to compete when AI is the shopper, the adviser, and the decision-maker.

SARTAJ RAJPAL

Head of Research, Profound

ADRIAN BLAIR

CEO,
Trustpilot

ANDREW XENI

Founder & CEO, Fabacus & Nobody's Child

ALFRED BIEHLER

Former Head of
Innovation,
Google

~1bn

People are now using LLMs for commercial research

20%

of online transactions projected to flow through agentic commerce within 12–18 months

About the Session

Where the theory ends and the real decisions begin

After three sharp solo sessions on AI visibility, organisational transformation, and the machine customer era, the Net Solutions London CXO Summit concluded with a no-holds-barred panel that asked the harder questions: What are you actually doing about this? What’s working? And what keeps you up at night?

Moderated by Andrew Jackson-Proes, the panel brought together Sartaj Rajpal (Profound), Adrian Blair (Trustpilot), Alfred Biehler (ex-Google), and Andrew Xeni (Nobody’s Child / Fabocus), practitioners who are living these questions within their own businesses, not just advising on them.

The conversation covered trust as a commercial asset, the data foundations agents will rely on, the real economics of agentic commerce, and why physical retail is experiencing an unexpected renaissance.

Six things this session will change about how you think

Why trust is now a machine-readable signal and what that means for your brand’s discoverability inside LLMs

How Trustpilot became the 5th most-cited domain across all major AI models, and what any business can learn from that

The real role of structured data: why agents can’t execute commerce without a verifiable system of record

How Nobody’s Child grew average order value from £36 to £124 using Digital Product Passports, and what the model looks like

Why agentic commerce won’t kill physical retail, and the data behind the store-to-online traffic correlation

Practical steps you can take in the next 90 days to make your products, brand, and data AI-ready

The Panelists

Who was in the room

Sartaj Rajpal

Head of Research, Profound Sartaj leads research at Profound, an AI-native platform founded in 2024 that helps brands measure and improve their visibility inside large language models. His work sits at the intersection of answer engine optimisation, content strategy, and machine-readable brand signals.

Adrian Blair

CEO, Trustpilot Adrian leads Trustpilot, the world's largest open customer feedback platform, with over 350 million reviews across businesses globally. Under his leadership, Trustpilot has become the 5th most-cited domain across all major LLMs — making it a critical infrastructure layer for brand trust in the AI era.

Andrew Xeni

Founder & CEO, Fabacus & Nobody's Child Andrew founded Nobody's Child — a responsible ladieswear brand that grew from £1.8M to £180M in gross revenue in five years — alongside Fabocus, a structured product data and Digital Product Passport platform, and Suetto, a referral technology business. He is one of the most distinctive voices at the intersection of retail, sustainability, and the data economy.

Alfred Biehler

Former Head of Innovation, Google Alfred spent 13 years at Google and a decade at Microsoft before becoming an independent consultant and entrepreneur. He works with leadership teams on the people, process, and culture conditions that determine whether AI initiatives succeed or stall.

Andrew Jackson-Proes

Host & Moderator, Net Solutions Andrew moderated the summit panel, drawing on his experience bridging commercial strategy and digital transformation. His questioning focused the conversation on practical action rather than theoretical possibility.

Find out where you stand before your competitors do.

Net Solutions is offering a free Growth Readiness Diagnostic, a structured assessment of your AI visibility, data foundations, commercial goals, and execution readiness. Includes a 30-minute strategy call with one of our consultants.