The alternative assets industry is significantly transforming as enterprises face mounting pressures from exponential Assets Under Management (AUM) growth, heightened regulatory scrutiny, and increasing operational complexities. With global alternatives on track to surpass US$30 trillion in AUM by 2030, asset managers must upgrade their legacy infrastructure to support modular, cloud-native platforms capable of delivering near-instant reporting, ESG transparency, and digital fund distribution. Regulatory developments, such as the SEC’s 2025 private fund rules and Europe’s AIFMD II, are catalyzing this shift, enforcing tighter requirements around liquidity, performance disclosure, and investor protection. This report provides a comprehensive view of how alternative asset firms – alongside fund administrators, custodians, brokers, and Global System Integrators (GSIs) – are reshaping their IT strategies. Key themes include the adoption of AI-powered NAV and fee engines, real-time data fabrics, RegTech rule engines, and tokenization-ready fund structures. The study explores technology priorities across asset classes such as private equity, hedge funds, real estate, infrastructure, and private credit, highlighting use cases from algorithmic trading to ESG-led carbon dashboards. It also maps strategic actions for stakeholders seeking to capture demand from wealth channels and improve agility across investment and compliance functions. The report offers a detailed roadmap for technology modernization and ecosystem collaboration to ensure long-term competitiveness in a rapidly evolving market.

FIS has introduced the Quantum Cloud Edition of its Treasury and Risk Manager platform, targeting the next phase of digital transformation in treasury operations. Designed as a cloud-native, API-first solution, the platform aims to help enterprises modernize their liquidity management, cash forecasting, and financial risk oversight. This report evaluates the platform’s alignment with enterprise expectations around agility, scalability, and automation. FIS’ Quantum Cloud Edition features embedded AI/ML capabilities, prebuilt ERP integrations, and real-time cash visibility to support complex treasury environments. Key differentiators include Treasury GPT (an AI-powered assistant), modular workflows, and integrated hedge accounting functionality. Hosted on AWS infrastructure, the platform is positioned to deliver operational resilience and deployment flexibility across global use cases. However, the report also highlights key limitations, such as the need for clearer AI/ML governance frameworks, better visibility into migration benefits from legacy platforms, and benchmark performance data. This review will help financial institutions assess the platform’s readiness to support next-generation treasury transformation efforts.

Temenos has introduced a new AI-powered compliance solution, Financial Crime Mitigation (FCM) AI Agent, designed to address the financial services industry’s critical pain points in FCM. The platform aims to reduce false positives, screen real-time transactions, and automate manual compliance tasks, which are increasingly important as institutions grapple with high compliance costs and tighter regulatory timelines. This report reviews the platform’s value proposition and its alignment with key enterprise objectives, including improved efficiency and support for diverse deployment models. The report highlights Temenos’ strong performance, delivering false positive rates below 2% – significantly below industry averages. Real-time alert handling, explainable AI models, and flexible deployment options (on-premises, SaaS, or cloud) underscore the platform’s adaptability across different IT environments. However, the review also flags areas requiring further clarity, such as cross-platform interoperability, lack of detailed performance benchmarks, and alignment with AI governance frameworks. Financial institutions looking to modernize compliance operations will benefit from understanding these factors as they assess Temenos’ FCM AI Agent for implementation. Scope Geography: global Industry: banking and financial services Service: financial crime and compliance Contents The report outlines:: Key enterprise issues and compliance objectives in FCM Overview of Temenos’ FCM AI Agent launch Temenos’ current capabilities and market positioning Everest Group’s review of the solution’s strengths and limitations

The convergence of AI, cloud, embedded finance, and evolving regulatory demands is significantly transforming the lending landscape. As traditional lending approaches face mounting pressure from digital-first players and rising borrower expectations, financial institutions are reimagining their platforms and processes to enable real-time, autonomous, and inclusive credit delivery. This report explores Everest Group’s latest view on digitizing the lending life cycle. We present an end-to-end framework that spans key lending processes such as origination, servicing, and collections, and how Systems of Execution (SoE), agentic AI, and modular digital architectures are reshaping them. We also evaluate how document management, credit decisioning, and legacy system transformation are emerging as high-impact subprocesses ripe for automation. Through a detailed analysis of enterprise modernization priorities, emerging technology enablers, and region-specific adoption patterns, the report delivers a forward-looking view on how lenders are transforming their operations to meet evolving customer, compliance, and competitive demands. It also presents a comparative analysis of 15 leading technology providers across consumer, corporate, and mortgage lending segments – drawing insights from real-world case studies and platform innovations. As the industry pivots toward just-in-time, embedded, and hyper-personalized lending, this study helps lenders and technology partners align strategies, accelerate execution, and unlock operational agility.

Backbase’s AI-powered banking platform represents a strategic shift in how banks embed AI across their operations. This Technology Launch Perspective explores the enterprise context behind Backbase’s launch, including demand for unified data layers, real-time decision-making, and AI-driven personalization. As banks push to operationalize AI, the platform’s Intelligence Fabric, agentic AI capabilities, and embedded AI Factory aim to deliver measurable outcomes in customer engagement, employee enablement, and productivity. The report also identifies execution risks tied to integration with legacy core systems, platform scalability, and enterprise-grade governance – key factors for financial institutions operating under strict regulatory frameworks. While Backbase offers an advanced product suite, the report calls for greater clarity around transparency mechanisms, scalability metrics, and implementation maturity to enable broader enterprise adoption. Scope Geography: global Industry: banking and financial services Contents The report examines: Key enterprise demand themes/determinants, issues, and objectives Backbase’s announcements, current positioning, and offerings’ alignment Everest Group’s review of Backbase’s product announcements

The report examines the evolution of connected banking through the lens of physical AI – autonomous, intelligent devices capable of executing financial services in real time. As financial institutions look beyond traditional channels, physical AI opens new frontiers where everyday objects, such as smart appliances, vehicles, and industrial systems, become financial endpoints. This transition accelerates the emergence of banking-as-a-lifestyle, in which banking is seamlessly woven into customer experiences, enabled by AI-driven touchpoints and embedded decision-making. The report delves into the market forces propelling this shift, from advances in edge computing and AI frameworks to the growing consumer demand for convenience and personalization. It outlines how banks must rethink their products, infrastructure, and partnerships to remain relevant and provides a roadmap to operationalize physical AI, from strategy and governance to ecosystem integration and risk management. Real-world use cases in smart homes, connected cars, and autonomous supply chains demonstrate how financial institutions can lead the next wave of transformation by embedding services into device-driven interactions. Scope Geography: global Industry: banking and financial services Contents The report explores: How physical AI is reaching real-world autonomy Banking-as-a-lifestyle as the next frontier Smart devices as new transaction channels Embedding banks into lifestyle ecosystems Physical AI and connected banking enabling autonomous financial services Strategic and operational imperatives to scale physical AI

Across the BFSI landscape, banks, insurers, and financial institutions are under mounting pressure to reduce costs, enhance customer satisfaction, and remain compliant—all while delivering measurable value in a volatile economic environment. Traditional effort-based service models are quickly becoming outdated as Gen AI and agentic AI drive fundamental transformation across operations. Watch Everest Group experts Ronak Doshi, Partner, Abhimanyu Awasthi, Practice Director, Kriti Gupta, Practice Director, and Sakshi Maurya, Senior Analyst, for a dynamic webinar that explored the emergence of Systems of Action (SoA), a set of intelligent, autonomous platforms integrating data, insights, AI-driven decisions to automatically orchestrate enterprise-wide actions in real time. The discussion unpacked the evolution of traditional systems of record to intelligent systems of action in banking, capital markets, financial crime compliance (FCC), and insurance segments. It also highlighted how SoA builders can combine data activation, decisioning, process orchestration, and execution as the key to unlocking future value in BFSI. As sourcing challenges become more complex, the panel will also delve into how innovation-led, agile partnerships are becoming essential. What questions did the webinar answer for the participants? How will service delivery value measures evolve in the BFSI landscape and beyond? How can systems of action (SOA) builders—encompassing data activation, decisioning, orchestration, and security—be effectively applied within the BFSI sector? In what ways will Gen AI and agentic AI transform processes and reshape the perception of value across IT, tech, ops, and service delivery? What strategies can enterprises, GBS, and providers adopt to effectively articulate and deliver measurable, outcome-driven value? How can stakeholders across IT, tech, ops, and service delivery partner with the broader ecosystem to drive innovation and enhance overall value?

The Everest Group Leading 50™ Financial Crime and Compliance (FCC) Technology Providers 2025 report ranks technology providers specializing in regulatory compliance and financial crime prevention. This ranking is based on a comprehensive evaluation framework that assesses providers across four weighted parameters: scale and growth momentum, value-chain coverage, innovation and investment, and client/geographic coverage. The report offers in-depth insights into how the FCC technology landscape is transforming in response to rising regulatory complexity, the increasing sophistication of financial crime, and the shift toward proactive risk management. It highlights key trends reshaping the market, including the convergence of Fraud and AML (FRAML), the rapid adoption of AI/ML and generative AI, and the growing preference for cloud-native, modular, and low-/no-code platforms. Additionally, the report examines regional dynamics across North America, EMEA, APAC, and LATAM. It highlights providers that stand out in specific focus areas, such as digital identity verification, trade-finance compliance, transaction monitoring modernization, and crypto compliance. The report is a strategic resource for banks, FinTechs, capital markets, RegTechs, and technology providers seeking to benchmark, evaluate, or partner with FCC providers as they modernize compliance operations and strengthen their defenses against financial crime. Scope Industry: financial crime and compliance technology Geography: global Contents In this report, we examine: Leading 50™ FCC technology providers Financial crime and compliance technology trends and key drivers Leading 50™ financial crime and compliance technology providers’ geographical distribution Industry cloud partnerships for financial crime and compliance technology innovation Leveraging generative AI in FCC technology solutions Key investors shaping the FCC technology landscape SIs’ role in FCC technology adoption Implications for FCC technology providers The TRUST framework for building a resilient FCC strategy for enterprises

Banks worldwide are raising interest rates to combat inflation, shifting away from the low-rate environment of the past decade. This change has reduced loan demand and strained profitability while intensifying competition with FinTechs, changing consumer expectations, and stricter regulations. To adapt, banks are investing in technology to streamline operations, automate processes, and improve customer experiences. Lending technology providers are supporting these efforts by developing advanced platforms and integrating next-generation technologies to improve the lending process. This compendium provides comprehensive and fact-based snapshots of 21 consumer Loan Origination Systems (LOS) providers. Each profile offers a detailed overview of the provider’s vision for consumer LOS offerings, product offerings, capabilities, buyer size and scale, presence, investments, and case studies. The report will enable providers to benchmark their capabilities against their peers and empower enterprises to assess providers based on their capabilities. Scope Industry: Banking and Financial Services (BFS) Geography: global This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading technology and IT service providers, client reference checks, and an ongoing analysis of the consumer LOS product market Contents In this report, we: Classify providers as Leaders, Major Contenders, and Aspirants on Everest Group’s proprietary PEAK Matrix® framework Offer an overview of the providers’ consumer LOS product offerings and strategies Examine consumer LOS case studies Membership(s) Banking Information Technology Sourcing and Vendor Management

The wealth management industry is evolving to meet emerging trends and client demands. To manage costs and boost revenue, firms are introducing new products, expanding into new regions, and enhancing advisor platforms to improve productivity and service delivery. AI is a key focus, with investments in AI-driven advisory platforms, predictive analytics, and conversational AI to provide more accurate, timely, and personalized advice. Firms are also leveraging hyper-personalization to tailor recommendations to clients' unique needs. The industry is adapting to the multigenerational wealth transfer as baby boomers pass assets to Gen Z, requiring new strategies to address diverse preferences. Additionally, technology transformation is driving operational efficiency and growth, while demand grows for innovative products such as ESG-focused investments, digital assets, and cryptocurrencies, reflecting changing investor values. This compendium provides detailed, fact-based snapshots of 17 wealth management technology providers. Each profile outlines the provider’s vision, capability, and market impact, helping providers benchmark their capabilities against peers and enabling enterprises to assess the providers based on their desired capabilities. Scope Industry: wealth management Geography: global Contents In this report, we evaluate wealth management technology providers on their: Company overview Recent partnerships and acquisitions Proprietary IP/solutions Market adoption and capabilities Client portfolio mix Key offerings and investments Client success stories Membership(s) Banking Information Technology Sourcing and Vendor Management