Clearwater Analytics (NYSE: CWAN) has announced the global deployment of CWAN GenAI, an embedded generative AI platform designed to transform investment management, risk management, reporting, and operations across institutional assets exceeding $10 trillion.
CWAN GenAI is presented as a production-ready generative AI platform fully integrated into Clearwater’s front-to-back platform. The company states that this differentiates it from experimental AI tools, enabling clients to integrate AI as collaborative partners in their investment operations rather than as a layer over legacy systems. The platform currently supports over 800 AI agents created by clients and internal teams, alongside 20 highly trained domain-specific agents. These agents assist investment professionals by automating data-intensive tasks and augmenting human expertise in areas such as reconciliation, reporting, portfolio analysis, and client communications.
Sandeep Sahai, CEO at CWAN, stated, “This is about fundamentally reimagining how institutional investment operations function in real-time.” He added that clients are already operating with autonomous intelligence that processes significant data volumes.
Souvik Das, Chief Technology Officer at CWAN, noted the engineering behind the platform. “We’ve engineered AI agents that can autonomously execute millions of tasks daily while maintaining the precision and auditability that institutions require,” Das said, highlighting the platform’s role in transforming operational efficiency and accelerating decision-making at enterprise scale.
CWAN GenAI is reported to deliver measurable performance improvements for its client base. These include a 90% reduction in manual reconciliation effort, an 80% acceleration in regulatory and accounting report generation, and 50% faster financial close cycles.
Asset Managers utilize CWAN GenAI to automate variance analysis, fee calculations, and performance attribution. This facilitates faster book closing and the generation of error-free, audit-ready reports for regulators and clients, aiming to strengthen trust and reduce restatement risk.
Risk Analysts employ CWAN GenAI to continuously scan for concentration and counterparty risk across portfolios. The system runs daily stress tests across asset classes, identifying emerging threats early to enable proactive decision-making by CIOs and risk committees.
Operations Teams deploy CWAN GenAI for autonomous trade settlement, real-time cash management, and exception handling. The platform is stated to resolve 90% of operational issues without human intervention.
CWAN GenAI functions as a 24/7 embedded operations layer within Clearwater’s unified platform, which covers accounting, trading, compliance, performance, and reporting. When deployed, the platform can autonomously reconcile portfolios by analyzing billions of data points daily, generate audit-ready reports on demand via natural-language queries, and instantly answer complex portfolio questions using live accounting and trading data. It also schedules workflow automations that are designed to improve continuously through feedback and learning.
The technology relies on a strategic partnership with cloud infrastructure providers such as AWS. Brian Cassin, Capital Markets Leader at AWS, noted that CWAN’s agentic workflow architecture on AWS demonstrates how modern investment platforms can scale while maintaining institutional-grade security and compliance standards. He added that the collaboration enables real-time data processing, low-latency model orchestration, and encrypted model execution, which can compress data cycles from 30 days to 24 hours.
Cassin further stated that CWAN GenAI’s combination of speed, accuracy, scalability, and security, underpinned by AWS’s computational power and governance frameworks, enables global financial institutions to deliver competitive advantage while meeting regulatory requirements. Clearwater Analytics aims to address industry challenges faced by institutional investors, including surging data volumes, tighter regulation, and operational strain.
