Built with leading claims executives, this agenda focuses on the real pressures shaping today’s claims function – from rising severity and litigation risk to AI adoption and workforce change. Through candid case studies, interactive discussions, and peer-led sessions, you’ll gain practical insight into what’s driving better claims outcomes now.
Rotate between four facilitated tables, each exploring a critical human challenge shaping today’s adjuster:
• The modern adjuster pressure profile – KPIs, caseload volatility, CAT surges, and emotional labor
• Burnout and performance risk – where fatigue is impacting accuracy, speed, and customer outcomes
• Remote culture & visibility challenges – supporting wellbeing when teams are behind screens
• Leadership capability gaps & practical support – building resilience through stronger people leadership and empowerment.
• Recalibrate severity as tariffs, supply shocks, and social inflation push up parts, labor, and claims costs beyond legacy pricing and reserves
• Close the claims-underwriting loop before macro shocks become coverage disputes, bad faith exposure, and loss ratio pressure
• Build an economic volatility playbook with early warning triggers, vendor protocols, and adjustment frameworks
• Move from AI paralysis to prioritized action by anchoring every technology decision to a clear business problem
• Reframe the adjuster role from claims processor to AI-enabled decision-maker, clarifying accountability, judgment, and human oversight
• Walk away with a 2026 leadership playbook for decisions, coalitions, and sequencing that turns AI ambition into measurable outcomes
• Build confidence your claims function can manage today’s most complex, high-severity losses – so data center outages and supply chain shocks don’t catch you off guard
• Close the execution gap between underwriting intent and claims reality by combining AI-enabled insight, vendor models, and coverage interpretation
• Rethink claims operating models, partner ecosystems, and workflows to reduce rework, delays, and leakage in increasingly complex files
• Protect critical experience through knowledge transfer, succession planning, and stronger talent pipelines as retirements accelerate
• Lead teams through AI and operational change by communicating the “why,” involving people early, and reducing low-value work
• Redefine adjuster success by balancing performance, empathy, and mental wellbeing in a high-pressure, remote, and complex environment
• Turn resistance into genuine buy-in by building frontline confidence through early wins, honest communication, and involving adjusters in the process
• Start with the workflows where change proves its value fastest – then use those wins to build momentum
• Embed new tools, processes, and ways of working into how adjusters already operate so change feels like an upgrade, not an imposition
• As AI takes on routine tasks, how do you ensure new adjusters still develop the judgment that can't be encoded?
• When your team is already stretched, how do you decide what to automate first without burning people out?
• What does "human-in-the-loop" look like in practice – and how do you know when you've got the balance right?
Grab your coffee and rotate through a series of short, structured vendor stations – each one designed to pressure-test a real solution against the challenges you're actually trying to solve. Use a shared evaluation scorecard to cut through the demo noise and leave with a reusable framework that brings consistency and confidence to every technology investment decision you make next.
• Close the defense coordination gap by sharing verdict outcomes, tactics, and valuations before plaintiff advantages drive higher losses
• Value cases earlier using shared benchmarks, litigation AI, and severity scoring as verdicts and awards escalate
• Use aggregated defense intelligence to identify plaintiff tactics, legal trends, and market shifts sooner
• Close the trust gap and build annual feedback loops that surface dissatisfaction before it becomes a complaint, lawyer call, or lost renewal
• Redesign claims touchpoints with a concierge model – fewer, higher-impact interactions that pre-empt regulatory scrutiny
• Link claims experience to renewals, complaints, and lifetime value to prove the ROI of customer investment
• Stop nuclear verdicts before they happen by applying courtroom tactics the plaintiff bar uses – and proven defense responses
• Protect policyholders from outsized awards by personalizing defendants, anchoring your numbers, and reframing jury sentiment
• Leave with a litigation playbook based on trial transcript analysis that teams can embed into roundtables, mediation prep, and litigation guidelines
• Use Florida's post-reform data to benchmark claims costs, strengthen advocacy, and brief your board with evidence
• Identify which regulatory levers moved the needle so you can prioritize reform efforts with confidence
• Leave with a replicable model for making the case for reform before the next nuclear verdict forces action
• Compress adjuster development with AI and VR simulations that replicate high-stakes claim scenarios
• Protect claim quality as retirements accelerate by giving newer adjusters access to experiential learning
• Validate training investment with outcome data on complex claims, resolution speed, and litigation escalation
• Leverage AI to flag early severity drivers – venue, injury profile, plaintiff tactics, and third-party funding – while strategy is still flexible
• Turn AI insights on liability trends and high-risk claims into underwriting and product feedback
• Quantify AI's impact on large loss development, leakage reduction, and litigation spend to prove ROI
• Quantify the cost of delayed, unclear, or inconsistent claims communications before they fuel litigation
• Eliminate the false trade-off between speed and trust with tools that improve communication accuracy
• Identify where automation strengthens communication discipline and where it creates new exposure
• What’s the biggest barrier preventing effective data sharing across carriers, law firms, and vendors today?
• How early can we realistically identify a nuclear verdict – and what should change in handling once we do?
• How do we move from better litigation data to actually changing strategy on live, high-risk claims?
• Establish governance, data flows, and regular collaboration that moves loss intelligence from the claims floor to underwriting and actuarial, ahead of renewal
• Translate emerging claims signals – plaintiff tactics, jurisdictional trends, and new exposures – into actionable underwriting insights, not static reporting
• Align claims and underwriting with the relationships, language, and cadence required to turn collaboration into real, lasting impact
• Understand where AI can support undertrained temporary staff during surge – and where it cannot
• Reduce post-CAT quality failures with AI-assisted quality assurance that scales with volume, not just headcount
• Build a defensible position on AI's role in surge readiness that satisfies regulators and protects policyholders
• Build a tested AI toolkit by refining five high-impact prompts against real claims leadership scenarios
• Accelerate grassroots AI adoption with practical prompts managers and adjusters can use immediately
• Leave with a prompt library your claims function can adapt and scale across daily workflows
• Eliminate the citation errors, misapplied policy language, and copy-paste mistakes that plaintiff attorneys are already scanning for with AI
• Generate policy-specific, legally accurate correspondence at scale – without asking adjusters to read a 75-page policy for every letter they write
• Quantify the leakage, litigation exposure, and rework cost hidden inside your current correspondence process to build the board-level case for change
• Prevent losses before they escalate by shifting from repair to early risk identification and proactive intervention
• Reduce litigation exposure and cost by resolving claims faster and improving early engagement
• Spot and stop emerging risks earlier with better visibility into trends across vendors, claimants and behaviors
• Get ahead of external narratives by coordinating claims decisions, legal strategy, and customer messaging
• Leverage AI to strengthen consistency, transparency, and defensibility in complex and high-profile claims handling
• Link claims outcomes to real business consequences across retention, brand strength, and litigation risk
• Protect policyholders by building a scalable model that absorbs CAT-level volume without sacrificing quality or experience
• Reduce dependence on expensive external adjusters by unlocking capacity through workflow design, cross-training, and technology
• Avoid bad faith exposure by responding with speed and consistency when demand spikes
• When claims intelligence reaches underwriting, how do you stop it becoming a report that gets filed away instead of something that changes a decision?
• As plaintiff attorneys use AI to scan for errors, how far behind is the defense side – and what does closing that gap require?
• When a high-profile claim threatens brand reputation, who owns the narrative – and how do you stop claims, legal, and communications pulling in different directions?
• When a CAT hits and you're onboarding temporary adjusters overnight, where does AI genuinely help – and where does it create more risk?
• How do you know in real time whether your surge model is holding up – and what's the earliest signal it's starting to break?
• What does efficient TPA oversight look like during a surge – and how do you know when it's starting to fail?
After a high-energy Day 1, keep the momentum going at our official Connected Claims Networking Drinks! Join us for an evening of celebration, connection, and conversation with the brightest minds in insurance. Expect great music, refreshing drinks, and plenty of opportunities to unwind and spark new partnerships in a vibrant, social setting. Don’t miss the buzz - this is where the real networking happens!
• Take control from the first call by pressure-testing your decisions in the opening hour of a catastrophe, surge, or system breakdown
• Lead your team through peak claims pressure by spotting early warning signs and knowing exactly how to prioritize, communicate, and act
• Protect outcomes when it matters most with a clear first-hour playbook that safeguards policyholders, supports adjusters, and prevents escalation into reputational or regulatory risk
• Accelerate AI from pilot to production with a structured framework that sequences technology decisions around clear business problems
• Embed governance checkpoints that align AI deployment with compliance and regulatory requirements before costly retrofits are needed
• Deliver a prioritized, board-ready AI roadmap with a defensible path to measurable outcomes within 12 months
• Align your claims experience with real customer expectations before it impacts retention and brand trust
• Turn every claim touchpoint into a loyalty driver by rethinking FNOL, communication, and settlement as trust-building moments
• Make speed and simplicity your advantage by enabling real-time resolution that meets rising expectations and sets you apart
• Turn claims data into a real-time decision engine by standardizing inputs across TPAs, systems, and lines of business
• Accelerate loss trend identification with automated reporting that pushes the right insights to the right stakeholders
• Quantify the impact of data gaps on claims outcomes, litigation exposure, and LAE to justify infrastructure investment
• Win the board-level argument for claims investment by replacing the "cost center" label with outcome data that connects claims performance to retention, profitability, and competitive advantage
• Shift how your organization talks about claims – from "we pay out" to "we protect the business, the brand, and the policyholder"
• Hear from CCOs who have successfully changed how claims is perceived internally, and what it took to make that shift stick
• Protect your technology budget with a build-versus-buy framework grounded in data assets, legacy infrastructure, and strategy
• Identify which AI capabilities to build, buy, or source through hybrid models to avoid vendor dependency
• Future-proof your AI investment, and design a modular tech stack that stays agile as the AI market evolves
• Make the board-level case for protecting people investment during AI transformation before cost pressure erodes institutional knowledge
• Stress-test change leadership against real scenarios, from resistant managers to stalled AI rollouts
• Leave with a CCO-to-CCO playbook for sequencing people and technology decisions together
• Surface overlooked claims trends early before soft-market pricing locks in exposure to litigation, CAT volatility and social inflation
• Translate frontline signals – plaintiff tactics, TPA performance, and severity trends – into underwriting-ready inputs
• Build a claims-to-underwriting signal framework to guide repricing, restriction, monitoring, or exit decisions before loss trends harden
• Secure AI investment by shifting ROI from headcount reduction to outcomes such as cycle time, severity accuracy, and retention
• Apply tipping-point logic so AI business cases show when efficiency gains become financially meaningful
• Build a repeatable ROI framework that positions claims as a measurable driver of competitive advantage
• Win the talent battle early by positioning claims as a strategic, high-impact career – on par with underwriting and actuarial
• Protect critical expertise before it walks out the door with structured mentorship and succession that close your mid-level gap
• Attract and retain the talent you need by redefining the adjuster role to appeal to empathetic, analytical, commercially minded professionals
• How do you change the internal perception of claims when the rest of the organization still sees it as a cost center?
• What claims outcome data has actually moved the needle with your board or CFO – and how did you frame it?
• How do you connect what happens on the claims floor to the public trust problem the whole industry is facing?
• When your core platform doesn't yet support the AI capability you need, do you build around it, wait, or replace it – and how do you make that call?
• You've shifted your ROI story from headcount to outcomes – what metric finally got your board to say yes?
• How do you know whether a simulation has improved your adjuster’s workflow– and what does good look like in practice?
• Navigate the regulatory patchwork by mapping NAIC AI Model Bulletin adoption, federal-state tension, and emerging compliance obligations
• Protect against class action exposure and regulatory scrutiny with AI governance guardrails that scale as rules evolve
• Build compliance infrastructure that lets you accelerate AI adoption while competitors scramble to catch up
Watch live as industry leaders go head-to-head on one of insurance's most pressing questions. Expect bold arguments, sharp rebuttals, and a battle for the audience's vote as leaders defend their vision and fight to prove which solution truly belongs in claims’ future.
• Pressure-test both sides of the AI workforce debate with real data before your next board discussion
• Build an honest AI-and-headcount narrative that protects morale, trust, and critical talent
• Leave with a workforce planning framework that balances efficiency with the human judgment complex claims still require
• Invest in the right capabilities today by stress-testing your technology, talent, and operating model roadmap against a five-year claims forecast
• Protect your competitive position against Insurtech’s and large carriers by identifying the strategic bets your organization must make in the next 12 months
• Give your board a credible long-range claims strategy with a clear view of where the industry is headed, which capabilities will define market leaders, and how to sequence investment to get there
• Recalibrate severity as tariffs, supply shocks, and social inflation push up parts, labor, and claims costs beyond legacy pricing and reserves
• Close the claims-underwriting loop before macro shocks become coverage disputes, bad faith exposure, and loss ratio pressure
• Build an economic volatility playbook with early warning triggers, vendor protocols, and adjustment frameworks
• Move from AI paralysis to prioritized action by anchoring every technology decision to a clear business problem
• Reframe the adjuster role from claims processor to AI-enabled decision-maker, clarifying accountability, judgment, and human oversight
• Walk away with a 2026 leadership playbook for decisions, coalitions, and sequencing that turns AI ambition into measurable outcomes
• Build confidence your claims function can manage today’s most complex, high-severity losses – so data center outages and supply chain shocks don’t catch you off guard
• Close the execution gap between underwriting intent and claims reality by combining AI-enabled insight, vendor models, and coverage interpretation
• Rethink claims operating models, partner ecosystems, and workflows to reduce rework, delays, and leakage in increasingly complex files
• Protect critical experience through knowledge transfer, succession planning, and stronger talent pipelines as retirements accelerate
• Lead teams through AI and operational change by communicating the “why,” involving people early, and reducing low-value work
• Redefine adjuster success by balancing performance, empathy, and mental wellbeing in a high-pressure, remote, and complex environment
• Turn resistance into genuine buy-in by building frontline confidence through early wins, honest communication, and involving adjusters in the process
• Start with the workflows where change proves its value fastest – then use those wins to build momentum
• Embed new tools, processes, and ways of working into how adjusters already operate so change feels like an upgrade, not an imposition
• As AI takes on routine tasks, how do you ensure new adjusters still develop the judgment that can't be encoded?
• When your team is already stretched, how do you decide what to automate first without burning people out?
• What does "human-in-the-loop" look like in practice – and how do you know when you've got the balance right?
• Navigate the regulatory patchwork by mapping NAIC AI Model Bulletin adoption, federal-state tension, and emerging compliance obligations
• Protect against class action exposure and regulatory scrutiny with AI governance guardrails that scale as rules evolve
• Build compliance infrastructure that lets you accelerate AI adoption while competitors scramble to catch up
Watch live as industry leaders go head-to-head on one of insurance's most pressing questions. Expect bold arguments, sharp rebuttals, and a battle for the audience's vote as leaders defend their vision and fight to prove which solution truly belongs in claims’ future.
• Pressure-test both sides of the AI workforce debate with real data before your next board discussion
• Build an honest AI-and-headcount narrative that protects morale, trust, and critical talent
• Leave with a workforce planning framework that balances efficiency with the human judgment complex claims still require
• Invest in the right capabilities today by stress-testing your technology, talent, and operating model roadmap against a five-year claims forecast
• Protect your competitive position against Insurtech’s and large carriers by identifying the strategic bets your organization must make in the next 12 months
• Give your board a credible long-range claims strategy with a clear view of where the industry is headed, which capabilities will define market leaders, and how to sequence investment to get there
• Close the defense coordination gap by sharing verdict outcomes, tactics, and valuations before plaintiff advantages drive higher losses
• Value cases earlier using shared benchmarks, litigation AI, and severity scoring as verdicts and awards escalate
• Use aggregated defense intelligence to identify plaintiff tactics, legal trends, and market shifts sooner
• Use Florida's post-reform data to benchmark claims costs, strengthen advocacy, and brief your board with evidence
• Identify which regulatory levers moved the needle so you can prioritize reform efforts with confidence
• Leave with a replicable model for making the case for reform before the next nuclear verdict forces action
• Leverage AI to flag early severity drivers – venue, injury profile, plaintiff tactics, and third-party funding – while strategy is still flexible
• Turn AI insights on liability trends and high-risk claims into underwriting and product feedback
• Quantify AI's impact on large loss development, leakage reduction, and litigation spend to prove ROI
• What’s the biggest barrier preventing effective data sharing across carriers, law firms, and vendors today?
• How early can we realistically identify a nuclear verdict – and what should change in handling once we do?
• How do we move from better litigation data to actually changing strategy on live, high-risk claims?
• Establish governance, data flows, and regular collaboration that moves loss intelligence from the claims floor to underwriting and actuarial, ahead of renewal
• Translate emerging claims signals – plaintiff tactics, jurisdictional trends, and new exposures – into actionable underwriting insights, not static reporting
• Align claims and underwriting with the relationships, language, and cadence required to turn collaboration into real, lasting impact
• Eliminate the citation errors, misapplied policy language, and copy-paste mistakes that plaintiff attorneys are already scanning for with AI
• Generate policy-specific, legally accurate correspondence at scale – without asking adjusters to read a 75-page policy for every letter they write
• Quantify the leakage, litigation exposure, and rework cost hidden inside your current correspondence process to build the board-level case for change
• Get ahead of external narratives by coordinating claims decisions, legal strategy, and customer messaging
• Leverage AI to strengthen consistency, transparency, and defensibility in complex and high-profile claims handling
• Link claims outcomes to real business consequences across retention, brand strength, and litigation risk
• When claims intelligence reaches underwriting, how do you stop it becoming a report that gets filed away instead of something that changes a decision?
• As plaintiff attorneys use AI to scan for errors, how far behind is the defense side – and what does closing that gap require?
• When a high-profile claim threatens brand reputation, who owns the narrative – and how do you stop claims, legal, and communications pulling in different directions?
• Win the board-level argument for claims investment by replacing the "cost center" label with outcome data that connects claims performance to retention, profitability, and competitive advantage
• Shift how your organization talks about claims – from "we pay out" to "we protect the business, the brand, and the policyholder"
• Hear from CCOs who have successfully changed how claims is perceived internally, and what it took to make that shift stick
• Surface overlooked claims trends early before soft-market pricing locks in exposure to litigation, CAT volatility and social inflation
• Translate frontline signals – plaintiff tactics, TPA performance, and severity trends – into underwriting-ready inputs
• Build a claims-to-underwriting signal framework to guide repricing, restriction, monitoring, or exit decisions before loss trends harden
• Win the talent battle early by positioning claims as a strategic, high-impact career – on par with underwriting and actuarial
• Protect critical expertise before it walks out the door with structured mentorship and succession that close your mid-level gap
• Attract and retain the talent you need by redefining the adjuster role to appeal to empathetic, analytical, commercially minded professionals
• How do you change the internal perception of claims when the rest of the organization still sees it as a cost center?
• What claims outcome data has actually moved the needle with your board or CFO – and how did you frame it?
• How do you connect what happens on the claims floor to the public trust problem the whole industry is facing?
• Close the trust gap and build annual feedback loops that surface dissatisfaction before it becomes a complaint, lawyer call, or lost renewal
• Redesign claims touchpoints with a concierge model – fewer, higher-impact interactions that pre-empt regulatory scrutiny
• Link claims experience to renewals, complaints, and lifetime value to prove the ROI of customer investment
• Compress adjuster development with AI and VR simulations that replicate high-stakes claim scenarios
• Protect claim quality as retirements accelerate by giving newer adjusters access to experiential learning
• Validate training investment with outcome data on complex claims, resolution speed, and litigation escalation
• Quantify the cost of delayed, unclear, or inconsistent claims communications before they fuel litigation
• Eliminate the false trade-off between speed and trust with tools that improve communication accuracy
• Identify where automation strengthens communication discipline and where it creates new exposure
• Understand where AI can support undertrained temporary staff during surge – and where it cannot
• Reduce post-CAT quality failures with AI-assisted quality assurance that scales with volume, not just headcount
• Build a defensible position on AI's role in surge readiness that satisfies regulators and protects policyholders
• Prevent losses before they escalate by shifting from repair to early risk identification and proactive intervention
• Reduce litigation exposure and cost by resolving claims faster and improving early engagement
• Spot and stop emerging risks earlier with better visibility into trends across vendors, claimants and behaviors
• Protect policyholders by building a scalable model that absorbs CAT-level volume without sacrificing quality or experience
• Reduce dependence on expensive external adjusters by unlocking capacity through workflow design, cross-training, and technology
• Avoid bad faith exposure by responding with speed and consistency when demand spikes
• When a CAT hits and you're onboarding temporary adjusters overnight, where does AI genuinely help – and where does it create more risk?
• How do you know in real time whether your surge model is holding up – and what's the earliest signal it's starting to break?
• What does efficient TPA oversight look like during a surge – and how do you know when it's starting to fail?
• Protect your technology budget with a build-versus-buy framework grounded in data assets, legacy infrastructure, and strategy
• Identify which AI capabilities to build, buy, or source through hybrid models to avoid vendor dependency
• Future-proof your AI investment, and design a modular tech stack that stays agile as the AI market evolves
• Secure AI investment by shifting ROI from headcount reduction to outcomes such as cycle time, severity accuracy, and retention
• Apply tipping-point logic so AI business cases show when efficiency gains become financially meaningful
• Build a repeatable ROI framework that positions claims as a measurable driver of competitive advantage
• When your core platform doesn't yet support the AI capability you need, do you build around it, wait, or replace it – and how do you make that call?
• You've shifted your ROI story from headcount to outcomes – what metric finally got your board to say yes?
• How do you know whether a simulation has improved your adjuster’s workflow– and what does good look like in practice?
• Stop nuclear verdicts before they happen by applying courtroom tactics the plaintiff bar uses – and proven defense responses
• Protect policyholders from outsized awards by personalizing defendants, anchoring your numbers, and reframing jury sentiment
• Leave with a litigation playbook based on trial transcript analysis that teams can embed into roundtables, mediation prep, and litigation guidelines
• Accelerate AI from pilot to production with a structured framework that sequences technology decisions around clear business problems
• Embed governance checkpoints that align AI deployment with compliance and regulatory requirements before costly retrofits are needed
• Deliver a prioritized, board-ready AI roadmap with a defensible path to measurable outcomes within 12 months
• Take control from the first call by pressure-testing your decisions in the opening hour of a catastrophe, surge, or system breakdown
• Lead your team through peak claims pressure by spotting early warning signs and knowing exactly how to prioritize, communicate, and act
• Protect outcomes when it matters most with a clear first-hour playbook that safeguards policyholders, supports adjusters, and prevents escalation into reputational or regulatory risk
• Align your claims experience with real customer expectations before it impacts retention and brand trust
• Turn every claim touchpoint into a loyalty driver by rethinking FNOL, communication, and settlement as trust-building moments
• Make speed and simplicity your advantage by enabling real-time resolution that meets rising expectations and sets you apart
• Turn claims data into a real-time decision engine by standardizing inputs across TPAs, systems, and lines of business
• Accelerate loss trend identification with automated reporting that pushes the right insights to the right stakeholders
• Quantify the impact of data gaps on claims outcomes, litigation exposure, and LAE to justify infrastructure investment
• Make the board-level case for protecting people investment during AI transformation before cost pressure erodes institutional knowledge
• Stress-test change leadership against real scenarios, from resistant managers to stalled AI rollouts
• Leave with a CCO-to-CCO playbook for sequencing people and technology decisions together
Rotate between four facilitated tables, each exploring a critical human challenge shaping today’s adjuster:
• The modern adjuster pressure profile – KPIs, caseload volatility, CAT surges, and emotional labor
• Burnout and performance risk – where fatigue is impacting accuracy, speed, and customer outcomes
• Remote culture & visibility challenges – supporting wellbeing when teams are behind screens
• Leadership capability gaps & practical support – building resilience through stronger people leadership and empowerment.
• Build a tested AI toolkit by refining five high-impact prompts against real claims leadership scenarios
• Accelerate grassroots AI adoption with practical prompts managers and adjusters can use immediately
• Leave with a prompt library your claims function can adapt and scale across daily workflows
After a high-energy Day 1, keep the momentum going at our official Connected Claims Networking Drinks! Join us for an evening of celebration, connection, and conversation with the brightest minds in insurance. Expect great music, refreshing drinks, and plenty of opportunities to unwind and spark new partnerships in a vibrant, social setting. Don’t miss the buzz - this is where the real networking happens!
