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Case Studies
At Camelot Consulting we pride ourselves on delivering customised solutions that drive tangible results for our clients. Our extensive industry experience and deep understanding of the insurance landscape enable us to address a diverse range of challenges with innovative and effective strategies.
In this section, we’ve provided accounts of how we’ve helped various insurance organisations overcome obstacles, streamline operations, and achieve their goals. Each case study showcases our commitment to excellence, highlighting the specific methodologies we employed and the impressive outcomes we achieved.
BIBA 2026 Insurance Insights: What the Industry Said, What It Did, and What It Didn't Say Out Loud
BIBA 2026 showed a clear divide: between those who say customers come first and those who genuinely show it. Culture, trust and leadership are now the real differentiators.
The Revolution: AI in Underwriting
Could Delegated Authorities Become Redundant at Lloyd's? Summary Delegated authority business now exceeds 40% of Lloyd's premium income — a model that doubled in volume since 2018 to £22.1bn, yet carries escalating governance, audit and oversight costs. Agentic AI — multi-agent systems capable of end-to-end workflow execution — is transitioning from pilots to production in 2026, creating a credible alternative to the traditional coverholder model. AI agents embedded in syndic
Why Your Data Quality Dashboard Isn't Telling You What You Think It Is
Last week, your data quality dashboard reported 98% accuracy across all critical systems. This week, finance discovered a £2.3 million discrepancy in your reserve calculations. If your data quality metrics look perfect, why doesn't anyone actually trust the data?
“I’m OK, You’re OK, It’s OK.” How AI Adoption Breaks Down When the Human Side Is Ignored
When organisations talk about AI adoption, the focus is usually on capability, governance, and change management. What receives far less attention is the emotional response
What Insurtech Insights 2026 Revealed About the Real State of AI in Insurance
Keynotes came from digital and technology leaders at Swiss Re and Zurich, underwriting leaders from Munich Re Specialty and Vig Re, and even an astronaut from the European Space Agency. The scale was impressive. But scale wasn’t what defined the event.
The Hidden Reason Your Sales Playbook Isn’t Driving Results
Training sessions, new technology, even incentive plans — none will work if this one missing piece remains unresolved. Until it’s fixed, every sales initiative is set up to fail.
Customer Loyalty: The Missing Strategic Engine in UK Retail Insurance
The retail insurance landscape in the UK has undergone a profound shift over the past decade. But beneath these challenges sits an overlooked strategic opportunity: customer loyalty.
Turning Market Data into Effective Insight
Having access to the market data is always a key component, but having the information won’t result in performance benefits on its own.
Camelot Executive Breakfast Roundup: Smarter Use of Property Valuation Data in a Softening Insurance Market
Date: 9 October 2025 Venue: Searcys at the top of The Gherkin, London Sponsor: e2Value, Inc. Moderator: Hélène Stanway Contributors: Rob Proctor (CUO, Vave), Todd Rissel (CEO, e2Value), Skip Coan (SVP, e2Value) Overview As the London Market continues to soften, pricing confidence and portfolio differentiation are becoming defining capabilities for property insurers. At our latest Camelot Executive Breakfast, hosted at Searcys with panoramic views across the City, we brought
Strategic Claims Management: Taking Claims From an Operational Necessity to a Strategic Asset
The effective management of claims is one of the most central capabilities in the insurance value chain. Whilst the most successful insurers and MGA’s recognise it as a core capability, it is not always fully leveraged as a source of competitive advantage.
AI in Insurance Claims Management: AI's Transformative Impact on the London Insurance Market's Claims Value Chain
AI is no longer a futuristic concept but a practical tool being deployed across various stages of insurance claims processing. Its application is multifaceted, ranging from automating routine tasks to providing sophisticated analytical insights.
Mastering the Strategy of Innovation
Discover effective innovation strategies, learn from real-world examples and how to create innovation objectives.
Solving the growth puzzle: organic vs. inorganic growth
Sustainable growth requires choosing the right strategy. It's not just about ambition. This piece unpacks the realities and differences of organic growth and inorganic growth, and how to decide which approach best fits your business challenge.
The Search for True Competitive Advantage in Insurance
Explore effective strategies to gain a competitive edge in the insurance industry. Discover actionable insights that can enhance your market position today.
How to Ask for a Referral, and Actually Get One
Most salespeople know referrals are powerful. In fact, opportunities from referrals are 70% more likely to close than any other lead source. Yet, when it comes to actually asking for them, the results are often disappointing.
From underwriting and claims automation to fraud detection and customer service, the potential is clear. But why do so many AI initiatives still fall flat?
Why Referrals Should Be Your #1 Lead Source
When it comes to generating new business, most sales teams lean heavily on marketing campaigns, cold outreach, and digital advertising. Yet the highest-converting, lowest-cost lead source is often overlooked: referrals.
From underwriting and claims automation to fraud detection and customer service, the potential is clear. But why do so many AI initiatives still fall flat?
From Fear to Frameworks: Why AI Adoption Fails Without Change Leadership
Explore why AI adoption stalls in insurance. Learn how leadership, culture, and AI skills drive success in artificial intelligence deployment.
From underwriting and claims automation to fraud detection and customer service, the potential is clear. But why do so many AI initiatives still fall flat?
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