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Acrisure has launched Auris AI, an artificial intelligence platform designed to integrate data, workflows, and decision-making across its insurance operations. Built using Palantir's platforms, the system consolidates client, carrier, contract, and operational data into a unified framework intended to help insurance professionals identify opportunities and coordinate work more efficiently. The platform addresses fragmentation in the insurance industry, where workflows often rely on disconnected systems. Auris AI organises operational data and business processes, bringing together client intelligence, risk insights, and carrier relationships into a shared environment. Benjamin Funk, Acrisure's chief technology officer and chief AI officer, emphasised that the platform was built to handle the complexity of modern insurance delivery. The company plans to continue working with Palantir on responsible AI deployment and data governance.

Acrisure unveils Auris AI operating system for insurance industry. ET By Editorial Team September 10, 2026 Acrisure unveiled Auris AI, its applied AI platform designed to connect data, workflows and AI-assisted decision-making across its portfolio of services. Developed by Acrisure using Palantir's platforms, Auris AI brings together client, carrier, contract and operational intelligence into a common operating framework and AI engine. The platform is intended to help insurance professionals identify opportunities, coordinate work and serve clients more effectively, with access governed by applicable permissions and controls. Auris AI addresses fragmented insurance workflows. Insurance is one of the world's oldest and most essential industries, yet much of the work behind it still relies on coordination across fragmented data and disconnected systems. Acrisure built Auris AI to address that challenge from inside the industry, using its scale, industry experience and operating footprint to develop a platform intended to support more connected, efficient and informed insurance workflows.v Built on Palantir's Ontology and developed by Acrisure's technology team and business operators, Auris AI is designed to organize: * Operational data * Business logic * Workflows * Client intelligence * Growth opportunities * Risk insights * Placement activity * Service needs * Carrier relationships The platform brings these elements into a shared operating environment, with the goal of helping teams coordinate more effectively and support informed decision-making for clients. "We are not announcing another vibe-coded AI tool. We are unveiling a platform built against the actual complexity of how insurance is delivered today: fragmented data, disconnected workflows, multi-company collaboration, and human expertise. Auris AI is designed to support AI-assisted workflows that help our teams surface insights, coordinate tasks, and better serve clients." - Benjamin Funk, Chief Technology Officer and Chief AI Officer at Acrisure Auris AI to be showcased at Palantir AIPCon 11. At Palantir's AIPCon 11 Conference, Funk will introduce Auris AI as part of a cross-industry showcase of organizations using Palantir's Artificial Intelligence Platform (AIP) to solve complex operational challenges. Acrisure's work with Palantir reflects its broader commitment to moving enterprise AI from experimentation toward practical use in business operations. The two organizations also intend to continue exploring approaches to: * Responsible AI deployment * Data governance * Enterprise control * AI integration across Acrisure's technology environment "Auris AI enables Acrisure to bring AI into the core of its operations while maintaining control over the data, workflows and decisions that power its business. We are proud to partner to bring Palantir's Ontology and AIP into production across Acrisure's business." - Ryan Taylor, Chief Revenue Officer and Chief Legal Officer at Palantir Expanding AI capabilities across the insurance ecosystem. Looking ahead, Acrisure intends to expand Auris AI's capabilities and deepen collaboration with clients, carriers and other relationships where the platform can support more connected workflows. The company believes the future of financial services will depend on stronger coordination across people, connected data and digital infrastructure, supported by tools designed to help professionals make more informed decisions. "Insurance has always been a connected business, but technology has not always reflected that reality. Auris AI is about changing how our teams work with data, workflows, and AI in one operating environment. Our goal is to help people move faster, coordinate more effectively, and deliver better outcomes for clients, while continuing to build responsibly with trusted partners. The next step is bigger than Acrisure. It is about helping our clients, carriers, and partners across the industry operate in a more connected way - and nobody does that alone." - Benjamin Funk, Chief Technology Officer and Chief AI Officer at Acrisure

Acrisure faces debt pressures amid Guggenheim ties, impacting high-yield credit markets. The insurance-broker-turned-fintech is cutting 11% of its workforce while its leveraged debt structure sends ripples through credit markets an hour ago Sponsored: CryptoSlots - Cryptoslots Play now! When a company valued at $32 billion starts cutting thousands of jobs and watching its debt trade at steep discounts, it tends to get the attention of credit markets. Acrisure, the insurance brokerage and fintech hybrid, is having that kind of year. The firm announced in late May that it would eliminate roughly 2,250 positions, about 11% of its global workforce, primarily in the US. The cuts are framed as a modernization push, leaning into AI and automation to streamline operations. Leverage that keeps climbing. S&P Global Ratings revised Acrisure's credit outlook from Stable to Negative back in April 2026. The reason was straightforward: adjusted leverage had ballooned to 9.6x by the end of 2025. S&P's forecasts suggest leverage could gradually improve to the 8-9x range through 2026, but that still leaves the company operating with a debt load that limits its financial flexibility. Acrisure has been an aggressive issuer in the high-yield bond market. Among its outstanding debt is a $925 million tranche of 8.25% senior notes due in 2029, issued in early 2024. Those bonds, along with other Acrisure debt instruments, have slid in price since the start of 2026 but have remained above the levels typically classified as distressed, which is generally around 70 cents on the dollar or below. The Guggenheim connection. Guggenheim Partners made an initial investment during Acrisure's 2022 funding round, when the company was valued at approximately $23 billion. Subsequent rounds pushed that valuation to $32 billion by 2025. A $1.18 billion loan tied to GIH Borrower LLC, a Guggenheim-linked entity, dropped to approximately 72.5-73 cents on the dollar by August 2026. That level is right at the edge of distressed territory, and it signals that the market is pricing in meaningful credit risk on Guggenheim's exposure to Acrisure. What the workforce cuts actually signal. Acrisure's CEO and co-founder Greg Williams has positioned the layoffs as forward-looking rather than defensive. The company says it is investing in AI and automation to replace manual processes and improve margins. The restructuring also has implications for Acrisure's competitive position. The insurance brokerage sector has been consolidating rapidly, with private-equity-backed platforms like Acrisure competing against publicly traded giants such as Marsh McLennan and Aon. Ripple effects in high-yield credit. For institutional investors tracking Guggenheim's exposure, the GIH Borrower loan trading near 73 cents represents a tangible risk marker. If that loan breaks below 70 cents, it would formally enter distressed territory. The next few quarters will be critical for Acrisure's ability to demonstrate that its restructuring can actually bend the leverage curve downward. Missing S&P's projected 8-9x leverage range for 2026 would likely trigger a downgrade, which would further pressure bond prices and increase the company's borrowing costs. Disclosure: This article was edited by Editorial Team. For more information on how Crypto Briefing create and review content, see its Editorial Policy.