This is not simply about adding technology; it is about building a smarter, more predictable claims operation. Leveraging Sedgwick's scale, data assets and innovation capabilities, we enable earlier risk identification, more effective intervention and greater portfolio visibility — ultimately driving faster resolution, lower total cost of risk and stronger performance outcomes.

Thrilled to watch our collaboration with Intapp grow, seamlessly integrating connected intelligence into daily professional workflows. Incorporating credit risk, entity, and ownership data into Celeste means teams gain crucial insights right at decision points, simplifying diligence, intake, and conflict resolution by cutting down on manual tasks. This showcases how AI and integrated data empower organizations to act swiftly, achieve clarity, and confidently tackle complex risk landscapes. Discover more: https://lnkd.in/eKEtjGpj What are your thoughts on leveraging AI for risk management? #RiskManagement #ProfessionalServices #AI

The conversation around AI often focuses on what it CAN do. Equally important is deciding what it SHOULD do. As organisations explore more autonomous AI, governance, oversight and risk management become just as important as the technology itself. Looking at the graphic below, where would you draw the line?

Work smarter, not harder... the new suite of AI tools across the controls landscape builds efficiencies and mitigates risk. ControlCatalyst.AI applies AI across the risk and controls lifecycle—from risk assessment to documentation, testing, and quality assurance—resulting in greater value and strategic resource allocation for clients and their stakeholders. Learn more:

A due diligence report shouldn't just tell you what was found—it should help you decide what to do next.   In Part 3 of our Third-Party Risk Insights series, Padmja Jain, Associate Director at RZOLUT (rey-zo-lute), discusses what effective due diligence reporting should deliver—and why combining reliable data, AI, and expert judgment leads to better risk decisions.   Watch now and share your thoughts.   #ThirdPartyRisk #DueDiligence #RiskManagement #Compliance #AML #KYC #RiskIntelligence #AI #RegTech #Data

Our Third-Party Risk Insights series continues with Episode 3, where Padmja Jain shares what effective due diligence reporting should deliver. A good due diligence report doesn't just present findings—it provides context, supports sound decision-making, and helps organizations take the right next steps. That's where reliable data, AI, and expert judgment come together. Watch the video to learn more. #ThirdPartyRisk #DueDiligence #RiskManagement #Compliance #AML #KYC #RiskIntelligence #AI #RegTech #RegData

In this conversation with TechMarketView, our CTO & Head of AI, Premkumar Balasubramanian discusses why AI is entering a new phase and the considerations that come with it. AI has moved from boardroom conversations to production. What's lacking is trust. As organizations put AI into production, they're defining accountability, governance, risk ownership, and the frameworks needed to navigate what comes next. Watch the full conversation: https://lnkd.in/dAqx_U_c

Generative AI is moving faster than most governance structures can keep up with, and that gap worries me. I keep seeing teams roll out powerful AI tools with real enthusiasm but no clear oversight behind them. That's where trouble starts. Here's my take: You don't need to invent a brand-new rulebook. The COSO framework you already trust for financial and operational controls adapts beautifully to AI. Risk assessment, control activities, monitoring — the same principles apply, just pointed at new technology. The organizations getting this right treat AI oversight as an extension of what they already do well, not a bolted-on afterthought. If you're thinking through how to govern AI responsibly, I'm always happy to talk it through. #RiskManagement #AIGovernance #InternalControls

Generative AI is moving faster than most governance structures can keep up with, and that gap worries me. I keep seeing teams roll out powerful AI tools with real enthusiasm but no clear oversight behind them. That's where trouble starts. Here's my take: You don't need to invent a brand-new rulebook. The COSO framework you already trust for financial and operational controls adapts beautifully to AI. Risk assessment, control activities, monitoring — the same principles apply, just pointed at new technology. The organizations getting this right treat AI oversight as an extension of what they already do well, not a bolted-on afterthought. If you're thinking through how to govern AI responsibly, I'm always happy to talk it through. #RiskManagement #AIGovernance #InternalControls

Generative AI is moving faster than most governance structures can keep up with, and that gap worries me. I keep seeing teams roll out powerful AI tools with real enthusiasm but no clear oversight behind them. That's where trouble starts. Here's my take: You don't need to invent a brand-new rulebook. The COSO framework you already trust for financial and operational controls adapts beautifully to AI. Risk assessment, control activities, monitoring — the same principles apply, just pointed at new technology. The organizations getting this right treat AI oversight as an extension of what they already do well, not a bolted-on afterthought. If you're thinking through how to govern AI responsibly, I'm always happy to talk it through. #RiskManagement #AIGovernance #InternalControls