TOP AGENTIC FACES IN INSURANCE TOP AGENTIC FACES IN INSURANCE
Results are out
The five winners have been selected
Announced on stage at Instech London, 7 July 2026
Results are out
The five winners have been selected
Announced on stage at Instech London, 7 July 2026
Results are out
The five winners have been selected
Announced on stage at Instech London, 7 July 2026
Results are out
The five winners have been selected
Announced on stage at Instech London, 7 July 2026
Founding edition · Organised by InsTech in collaboration with AI Risk · Sponsored by Otera

Top Agentic Faces
in Insurance

Recognising the leaders doing the hardest work of the current phase: moving agentic AI into production, and building the architectures that will let it scale.

Five executives selected for what they shipped, not what they pitched.

Meet the winners

The five winners have been selected · Announced 7 July 2026

Announced on stage at The Age of Agentic AI: From Strategy to Commercial Value · 7 July 2026

Evaluation independent of all sponsors
The Five · Founding Edition 2026

Meet the Winners

The founding class of leaders who proved agentic AI works in production, not just in theory.

Antony Elliott
Agentic Innovation & Acceleration

Antony Elliott

Group Head of AI R&D

Zurich Insurance

Built the largest agentic AI hackathon in insurance: 1,000+ participants from 40+ countries, 218 working prototypes, five winning solutions now in production

Ed Leon Klinger
Rethinking Insurance

Ed Leon Klinger

CEO

Flock

Built the first AI assistant over live driving and claims data. 78% customer adoption in three weeks. Acquired by Admiral for £80 million

Pieter Viljoen
Global Agentic Transformation at Scale

Pieter Viljoen

Chief Data and AI Officer

Allianz Partners

Claims handling from 29 days to 3.5. Skipped pilots, went straight to production. Now live across 15 countries and 5 insurance lines.

Marcin Ogniewski
Speed of Agentic Delivery

Marcin Ogniewski

Corporate Business Development Director

PZU

Market search to live production in six months. AuroraAI turns 106,000 broker inquiries into quote-ready data

Javier Tiemblo Sanchidrían
Holistic Agentic Strategy

Javier Tiemblo Sanchidrían

COO & Chief Artificial Intelligence

Proyectos y Seguros

Six agentic initiatives in production. Voice agent Andrea made 100,000 calls in one month, quadrupled conversion

The gap between announcement and impact
is the central issue of 2026.

Insurance has announced hundreds of agentic AI initiatives. Few are in production with measurable outcomes. Fewer still are built on architectures that will compound over time.

7%
of insurance carriers have successfully scaled AI across their organisation
57%
of insurance executives list agentic AI as a top investment priority for 2026
6.1x
the shareholder return created by AI-leading insurers vs laggards over five years

That is not a criticism. It is the honest position of the industry today. What the best firms have done is harder and more valuable than it looks: they have moved a genuinely agentic system into production, or they have built the enterprise architecture that will carry the next wave. Some have done both. This programme recognises that work.

Not who talks about AI.
Who built it.

Insurance has no shortage of AI announcements. What it lacks is recognition for the people turning those announcements into working systems.

The Agentic Faces programme identifies C-suite leaders across European insurance who have moved past pilots and into production. Chief Underwriting Officers, operations leaders, technology executives, and data officers taking operational and P&L ownership of agentic AI inside tier-one carriers, reinsurers, and specialty markets.

We're not looking for the best pitch deck or the boldest conference talk. We want to meet the executives who fought for budget, got something into production, and can show what changed because of it.

The founding class of five will be announced on stage at The Age of Agentic AI: From Strategy to Commercial Value on 7 July 2026.

Read our full thesis
Organised and supported by

What the leaders we're looking for did differently

Most organisations applied familiar IT playbooks to a fundamentally different technology. The executives behind the best agentic AI programmes broke from convention in four ways.

01

They chose the hardest real-world use case, not the easiest demonstrable one

High-volume, high-friction, mission-critical. Instead of testing AI on a safe experiment, they went straight for something that mattered to the P&L. The complexity forced them to build for enterprise scale from day one.

02

They treated architecture as a first-order decision, not a downstream concern

Integration, data, governance and orchestration were scoped before use cases scaled, not after. Rather than perfecting one system in a lab, they built the foundations that would carry the next wave. They shipped early with human oversight and increased autonomy as confidence grew.

03

They kept humans in the deliberative loop

Not as fallback approvers, but as the source of reasoning the system learns from. They deployed with human-in-the-loop, captured every decision as data, and let real-world outcomes reveal where the existing rules were wrong. The design treats expert judgement as a first-class input.

04

They measured rigorously from day one

Before-and-after metrics were defined before deployment, not retrofitted. Real outcomes, not anecdotal impact. Instead of assembling a committee to design the perfect future state, they shipped and let production results speak for themselves. Buy-in came from demonstrated value.

The shift required isn't technical. It's philosophical.

How most organisations still operate How the leaders we're looking for think
Risk comes from deploying too early Risk comes from learning too slowly
Perfect the system, then ship Ship the system, then perfect
Requirements define success Outcomes define success
Automate existing processes Reimagine possible processes
Innovation in projects Innovation in platforms
Efficiency gains Business model transformation
Partner Resources

Go deeper: what separates pilot from production

Executive Blueprint
Otera

Agentic Transformation: From Pilot to Production

A 38-page blueprint on moving agentic AI from pilot to production in regulated industries, drawing on deployments at tier-one operators.

The Strategic Advantage of Agentic AI
AI Risk

The Strategic Advantage of Agentic AI

How agentic AI enables insurers, reinsurers, MGAs, and brokers to capture expert reasoning as a permanent organisational asset, one that compounds with every decision and cannot be replicated by a competitor who starts later.

Insurance companies only

"

The world is desperately trying to find the right operating model for AI agents in regulated, complex industries. There are many wrong ways of doing it. We want to recognise and bring together the select group of people who have clearly worked out how.

Programme Committee

5
Winners
Honoured on stage
FREE
Conference
Pass for winners
EXEC
Seniority
Senior executives and C-suite
1:1
Evaluation
Personal conversation
EU
European
Insurance focus

Two pathways to recognition

Some winners will qualify under both pathways. Most will qualify strongly under one.

Pathway A

Production Impact

You have moved a genuinely agentic deployment into production in a functional domain: claims, underwriting, distribution or operations, with measurable outcomes.

  • Genuinely agentic: systems that reason, plan and act across multi-step work, not single-task tools relabelled
  • In production: real users, real decisions, real data flowing through live systems
  • Measurable before-and-after impact on an outcome that matters: loss ratio, cycle time, capacity, quality, customer experience
  • Human oversight designed into the system, not bolted on as a review step
Pathway B

Architectural Readiness

You have built the enterprise foundations that let agentic AI scale: an architecture designed to extend beyond the first use case, with governance that allows supervised autonomy at scale.

  • An architecture designed to extend beyond a single use case or function
  • Governance that allows supervised autonomy at scale
  • Data and integration foundations fit for both current and future deployments
  • A credible roadmap grounded in what has already been built

In-person attendance at The Age of Agentic AI: From Strategy to Commercial Value on 7 July 2026 is required for all winners.

What the five winners receive

Peer Network

Join an exclusive cohort of Europe's leading agentic AI executives. A network that extends well beyond the conference.

Industry Profile

Featured across InsTech and partner channels reaching senior insurance decision-makers globally.

Stage Recognition

Named on stage at The Age of Agentic AI: From Strategy to Commercial Value in front of 400 senior insurance and technology executives.

Free Conference Pass

Complimentary full-access pass to The Age of Agentic AI: From Strategy to Commercial Value, including all sessions and workshops.

Present Your Use Case

A platform on The Age of Agentic AI: From Strategy to Commercial Value stage to share the work behind your initiative, with a longer dedicated session reserved for the overall winner.

TOP AGENTIC FACES IN INSURANCE
Results are out

The five winners have been selected

Announced on stage at Instech London on 7 July 2026.

Meet the winners

The evaluation conversation

A 20-minute structured conversation with a member of the evaluation panel, covering three areas.

What did you build?

The initiative

The autonomous AI initiative you've led. What problem does it solve, and what makes it genuinely agentic rather than just automated?

initiative scope autonomy

How did you do it?

The approach

The technical and organisational decisions behind the work. What were the biggest obstacles, and how did you navigate them?

technical leadership challenges

Where are you going?

The vision

Where does this go from here? The next phase of your AI strategy and what it means for the business.

vision roadmap impact

Timeline

Opened
Nominations
Applications and nominations accepted
Closed
5 June 2026
Application deadline (extended)
Evaluation
Rolling, closed 10 June 2026
Panel conversations with shortlisted candidates
Results
15 June 2026
Five leaders privately notified
Announcement
7 July 2026
Named on stage at The Age of Agentic AI: From Strategy to Commercial Value

Evaluation Panel

The evaluation panel brings together leaders from across insurance, technology, and AI research. All submissions are evaluated on the strength of the work presented.

Ian Thompson

Ian Thompson

Founder, IMT Advisory

Ex-Group CCO, Zurich Insurance

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Robin Merttens

Robin Merttens

Executive Chairman

InsTech

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Simon Torrance

Simon Torrance

CEO

AI Risk

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Bryan Johnson

Bryan Johnson

VP of Strategy & Agentic Transformation

Otera

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Robin Merttens

Robin Merttens

Executive Chairman

InsTech

Robin is Executive Chairman and co-founder of InsTech, the leading community for insurance innovation and technology. A Cambridge graduate with deep roots in the insurance and technology sectors, he has spent over two decades connecting insurers with the ideas and people shaping the future of the industry. Through InsTech's events, podcast, and research, Robin has built a global platform that reaches more than 30,000 insurance professionals.

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Bryan Johnson

Bryan Johnson

VP of Strategy & Agentic Transformation

Otera

Bryan leads strategy and agentic transformation at Otera, working directly with insurance carriers to design and deploy autonomous AI systems at enterprise scale. A Princeton graduate with a background spanning consulting, data science, and IT strategy, he previously held roles at Patchworks AI, Argon & Co, and Forestreet. Bryan brings a practitioner's lens to the evaluation, understanding both the technical and organisational challenges of moving agentic AI from pilot to production.

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Simon Torrance

Simon Torrance

CEO

AI Risk

Simon is CEO of AI Risk and a recognised authority on AI-driven transformation in financial services. He advises insurers and regulators on the strategic and operational implications of agentic AI, bringing a unique perspective that bridges technology innovation with enterprise risk management.

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Ian Thompson

Ian Thompson

Founder, IMT Advisory

Ex-Group CCO, Zurich Insurance

Ian is Founder of IMT Advisory and one of the most experienced claims and operations leaders in global insurance. As former Group Chief Claims Officer at Zurich Insurance, he led an 8,500-person organisation across 200 territories, handling 7.5 million claims annually and deploying 80+ insurtech solutions into live operations. He now serves as Senior Advisor to McKinsey & Company and Strategic Advisor to Stripe, TowerBrook, AI Risk, and Sprout.ai, helping investors, carriers, and scale-ups build and scale AI-driven innovation across the insurance ecosystem.

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Antony Elliott

Antony Elliott

Group Head of AI R&D

Zurich Insurance

Agentic Innovation & Acceleration

Antony Elliott is Group Head of AI R&D at Zurich Insurance Group, where he is focused on bringing AI out of the lab and into the hands of the business. A recognised driver of practical AI adoption in insurance, Antony conceived and led Zurich's Agentic AI Hyper Challenge, the largest agentic AI hackathon in the insurance industry, engaging 1,000+ participants across 40+ countries and generating 200+ prototypes, with winning solutions now moving into production. He also co-leads Zurich's start-up engagement through the Zurich Innovation Championship, using a venture clienting approach connecting the business with hundreds of AI-first start-ups and accelerating time to value. With 25 years in insurance and deep experience across transformation, architecture, and innovation, Antony collaborates with the best of academia, start-ups, internal talent, and hyperscalers to turn frontier AI into real-world impact.

Antony took on the hardest part of agentic transformation in a global insurer: mobilising the whole organisation behind it. He created Zurich's Agentic AI Hyper Challenge, the largest agentic AI hackathon in the insurance industry, drawing over 1,000 participants from 40-plus countries to build 218 working prototypes against 17 prioritised use cases across claims, underwriting, sales and finance. The deliberately mixed field of startups, enterprise tech firms, independent developers and Zurich's own engineers competed on the same real problems, with senior business sponsors owning every theme and Group Executive Committee co-sponsorship clearing the path from prototype to production. Built on a "show us, don't tell us" ethos, the programme put working agents in front of leaders rather than slideware, and all five winners are now piloted and moving into production across more than ten countries. Most importantly it is repeatable: an ExCo-sponsored, governed pathway from problem to deployed agent that reruns annually, with the 2026 edition already underway and a stronger tilt toward upskilling internal teams. Antony has built the institutional capability to do agentic AI at scale inside a 150-year-old insurer, which is exactly what the Agentic Innovator recognition is about.

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Marcin Ogniewski

Marcin Ogniewski

Corporate Business Development Director

PZU

Speed of Agentic Delivery

Marcin Ogniewski is Corporate Business Development Director at PZU Group, where he has been driving business and technological innovation since 2013. Since 2020 he has overseen initiatives aimed at advancing the development of corporate insurance, and in 2022 he was appointed to the Management Board of PZU LAB SA. He has led numerous projects focused on enhancing safety standards in industrial facilities and vehicle fleets, optimising customer service processes, supporting sales activities, and driving process digitalisation. A graduate of the Military University of Technology, Marcin combines deep domain expertise with a hands-on approach to transformation.

Marcin and his team took PZU's corporate insurance division from market search to live production in roughly six months. The Corporate Client Unit at PZU handles over 106,000 broker inquiries a year in unstructured formats: email bodies, PDFs, images and Office files, all parsed manually until now. Their answer is AuroraAI, named by the employees themselves, which turns broker emails into structured, quote-ready data in minutes and feeds pricing fields straight into the policy system, so sales teams start with insights rather than inboxes. What sets the work apart is the discipline: rather than bolting AI onto legacy processes, Marcin redesigned the business process around AI first using a true agentic methodology built on autonomy, control and velocity. Property is live now, with liability and full rollout following within weeks and further product lines after that. The goal is straight-through processing as the default rather than the exception, on a foundation that gets faster with every process they add.

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Javier Tiemblo Sanchidrían

Javier Tiemblo Sanchidrían

COO & Chief Artificial Intelligence

Proyectos y Seguros

Holistic Agentic Strategy

Javier Tiemblo Sanchidrían is Chief Operating Officer and Chief Artificial Intelligence at Proyectos y Seguros, where he bridges solid business fundamentals with the practical application of new technologies. After a distinguished tenure orchestrating financial strategy as CFO and Vice President at AMC Networks, he shifted his focus to the digital transformation of the insurance arena. A steadfast advocate for the "human + AI" paradigm as a true engine for operational agility, Javier deals in cold realities rather than hollow promises, embedding agentic AI in robust, production-ready architectures that drive tangible, long-term value creation. He holds credentials in AI strategy from MIT Sloan School of Management and IESE Business School.

Javier brings a CFO's discipline to agentic AI: every initiative has to prove its ROI, and AI is treated like a student that earns more autonomy as it learns, always with a human in the loop. As COO and Chief AI Officer of a Spanish multi-line brokerage, he has stood shoulder to shoulder with the team to move beyond theoretical pilots, bringing six live initiatives into daily operations, from call-centre quality and sales to training and governance. The implemented autonomous agent reviews call-centre calls without bias, multiplying auditing capacity fifteenfold. His voice agent Andrea, live in production, made almost 100,000 outbound calls in a single month, quadrupled lead-to-policy conversion and saved roughly 25 days of agent time, while filtering tens of thousands of no-answer calls at no cost. Each of these initiatives operates the EU AI Act auditing process, undergoing continuous review and regulatory adaptation. Javier shows what agentic AI looks like when it is owned at executive level and measured like any other investment: holistic, in production, and accountable.

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Ed Leon Klinger

Ed Leon Klinger

CEO

Flock

Rethinking Insurance

Ed Leon Klinger is co-founder and CEO of Flock, an AI-powered insurance provider for commercial motor fleets, and a member of the leadership team at Admiral Pioneer, the venture and commercial insurance arm of The Admiral Group. Under his leadership, Flock has built telematics-powered insurance that reduces crash frequency by over 10% year-on-year, with hundreds of commercial fleets trusting the platform to keep their drivers safe and their vehicles on the road. Flock works with global brokers including Aon and Marsh, and is backed by investors such as Octopus, Social Capital, and Anthemis. In May 2026, Flock was acquired by Admiral Group for £80 million.

Ed and the Flock team have reimagined what an insurer can be. Flock's mission is to make the world quantifiably safer, and under Ed's leadership that mission now runs on agentic AI. Flock is launching Jay, the first AI assistant in the world to sit over live driving and claims data, giving every fleet manager an on-demand safety expert. Behind the scenes, Jay has access to nearly one billion miles of telemetry data, enabling it to deliver real-time safety and claims insights tailored to every fleet and every driver. The result is a safety flywheel: fewer crashes, sharper pricing, faster support, and measurable outcomes. Flock has not just adopted AI, they have laid the groundwork for an entirely new agentic insurance business, recently recognised through Flock's £80 million acquisition by the Admiral Group.

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Pieter Viljoen

Pieter Viljoen

Chief Data and AI Officer

Allianz Partners

Global Agentic Transformation at Scale

Pieter Viljoen is Chief Data and AI Officer at Allianz Partners, where he leads the data and artificial intelligence strategy for one of the world's largest protection and care insurers. With around €10 billion in annual revenues and roughly 90 million cases handled each year, Allianz Partners operates at a scale where technology decisions carry immediate business impact. Pieter has driven the transition from conventional automation to agentic AI, taking the organisation straight from concept to global production without the typical proof-of-concept detour. His approach centres on three principles: autonomy, control, and velocity, treating them as operational levers rather than abstract aspirations.

Pieter made a deliberate decision to skip proofs of concept entirely. In his view, agentic AI is a platform capability you scale from day one, not a patchwork fix you validate for months. He took Allianz Partners straight to production on two high-impact use cases, claims automation and invoice automation, both live within 2.5 months in highly regulated UK and DACH markets, then scaled globally. In claims, autonomous agents review the case, validate coverage, settle, respond to the customer, and trigger payment near-instantly; only a small fraction of complex cases escalate for single-touch human review. In invoicing, the same architecture processes millions of invoices from a 16,500-strong partner network. Average claim handling time fell from 29 days to 3.5 days, with a significant volume now completing touchlessly in minutes. The playbook now delivers around 60% straight-through processing, 99.7% decision accuracy that's policy-traced end-to-end, and is live across 15 countries and 5 insurance lines. Pieter built for scale using standardised, reusable components and paired this with early investment in compliance, bringing in third-party legal experts so that regulatory assurance accelerated deployment rather than slowing it down.

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FAQ

Who can apply?

This programme was for C-suite and board-level leaders working in-house at a European insurance business (insurers, reinsurers, brokers, and MGAs), building and deploying agentic AI inside their own organisation. We were looking for the person accountable for the initiative, whether that was a Chief Underwriting Officer, COO, CIO, CTO, CDO, or equivalent.

Both self-nominations and peer nominations were welcomed.

Who are the organisers?

The programme is organised by InsTech, the leading community and annual summit for insurance technology in Europe, and AI Risk, an independent advisory specialising in AI governance, assurance, and deployment risk for financial services.

The programme is sponsored by Otera, an agentic AI company building autonomous systems for European insurance. All submissions were evaluated on the strength of the work presented, and the five were named on The Age of Agentic AI: From Strategy to Commercial Value stage on 7 July 2026.

Do winners present on stage?

Yes. All five leaders shared their work on the event's stage on 7 July 2026. The four finalists each received a short spotlight introducing what they shipped, and the overall winner was given a longer, dedicated session to walk the audience through their initiative in more depth.

Can I nominate someone else?

Nominations are now closed. The five winners were announced on stage at InsTech London on 7 July 2026.

What happens during the evaluation?

Shortlisted applicants were invited to a 20-minute structured conversation covering three areas: what they built, how they built it, and where they were going next. It was less an interview than a conversation between peers about the work that mattered to them.

Is there a cost to participate?

No. There was no fee to apply, be nominated, or participate in the evaluation, and the winners received a complimentary full-access pass to the event.

What if I can't attend the event in person?

In-person attendance on 7 July 2026 was essential, and the winners were named on stage. If the timing didn't work this year, we'd welcome interest in a future edition.

When will the winners be announced?

The five winners were announced on the event's stage at InsTech London on 7 July 2026, having been notified privately in advance.

What happens if I'm not selected?

Every candidate who completed the evaluation received a personal debrief on how their initiative compared to the broader field, and we're keeping all strong candidates in mind for future editions and related industry opportunities.

Our thesis

Why this programme, why now

The executives who are actually making agentic AI work in insurance are, paradoxically, the least visible. They're heads-down inside their organisations, solving hard problems that never make it to a conference stage. Meanwhile, the loudest voices in the room are often the ones still stuck in pilot.

This matters because insurance is at an inflection point. The gap between organisations that have moved AI into production and those still running experiments is widening fast. The leaders who cracked it hold lessons the entire industry needs, but those lessons stay locked inside individual companies. The sector keeps relearning the same mistakes.

We built this programme to correct that. Not to celebrate innovation for its own sake, but because identifying who has genuinely shipped agentic systems, understanding how they did it, and sharing what they learned is the fastest way to raise the floor for everyone.

The evaluation process is designed with this in mind. It's not a beauty contest or a popularity vote. Every candidate has a structured conversation with a panel member covering what they built, how they built it, and where they're going next. The five leaders selected will be those whose work best demonstrates that agentic AI can deliver real, measurable business value in a regulated, complex industry.

We believe the best time to recognise conviction is before it becomes consensus. The people doing this work right now, often without fanfare, often against internal resistance, deserve to be seen. That's what this programme is for.

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