Investment operations have long been burdened by inefficiencies—teams tied up in manual reconciliations, tight monthly close deadlines, and stitching reports across systems. At the pace of today’s financial markets, these challenges aren’t just inconvenient—they’re costly in time and error risk. And markets aren’t slowing down.
Modernizing investment operations isn’t about adding more tools–it’s about more work getting done for you.
CWAN GenAI changes the operating model by putting intelligence in the flow of work—so you move from insight to action instantly, without adding complexity. It’s live in production today.
While most AI shows up as a pilot or a plug-in, CWAN GenAI is embedded and production-grade.
Generic AI tools work with whatever you feed them, operating without the context of how your data connects. CWAN GenAI agents operate directly on your live CWAN data—account balances, income reports, pricing feeds, and compliance rules—with an understanding of how these datasets relate.
AI Spotlight: Transforming Lockdown Checks
Take monthly lockdown checks: Month-end close is one of the most critical and time-intensive processes in investment operations. Before certifying the books are ready to close, controllers and accounting managers need to run through an extensive checklist: verify book yield analysis, validate credit ratings, confirm pricing sources, check for compliance violations, review outstanding items, and ensure data integrity across multiple dimensions. Each check means pulling different reports from CWAN, manually cross-referencing data, running calculations, and documenting exceptions. The process can take days.
With CWAN GenAI, domain-trained agents orchestrate the close: some retrieve and analyze pricing data to detect stale prices or flag book yields outside expected ranges; others validate ratings consistency or scan for compliance violations; still others ensure amortization schedules align with security maturity dates. Because these agents work on connected CWAN data, they understand how your holdings relate to pricing sources, how compliance rules map to specific portfolios, and which accounting standards apply to different position types. They aren’t just answering questions; they’re executing a structured multi-step validation process with the right context—deep understanding of how your investment data fits together.
The result is an automated, comprehensive summary that surfaces only the exceptions needing human review before final sign-off—compressing days of checklist work by several people into a minutes-long task.
With CWAN GenAI, working with data becomes conversational. A portfolio analyst asks a complex question in plain language and gets an answer that understands both the firm’s positions and the platform’s logic. A controller kicks off close tasks with a single prompt—variance checks, fee calculations, lockdown validations—and tracks progress with full visibility. Always-on agents keep the routine work moving and improve with feedback. Multi-agent workflows hand off steps between agents to keep processes moving without manual coordination.
Our connected data model is the unlock. With data connected by design—not stitched across systems—CWAN GenAI operates with full context, which is why we can deliver explainable, end-to-end automation at scale. Policies and entitlements travel with the data, so agents act only within the set rules. Event triggers and schedules keep automations humming with low lift from your teams. Here’s how that shows up in a common compliance task.
When an Investment Policy Statement (IPS) is updated, the manual path is slow: read the PDF line by line, compare each rule, and re-key changes across accounts—work that multiplies when several updates arrive at once. With CWAN GenAI, you upload the document and run the Compliance Rule Extractor and Compliance Rule Validation workflows. Two specialized extraction agents parse the PDF in parallel to cross-check completeness, a coordinating lead agent reconciles differences and normalizes the rule set, and the validator compares the result to what’s configured in CWAN and produces a change summary. You review and approve; the hours-long read/compare/re-key cycle compresses to minutes, error risk drops, and your team spends time on policy impact—not paperwork.
Once agents and workflows go live in your environment, the center of gravity shifts from manual prep to approving outcomes. Reviews happen inside CWAN with sources and lineage visible, so exceptions arrive with the evidence needed to resolve them quickly. Oversight moves from periodic to continuous—patterns surface sooner without chasing updates. Day to day, routine settlement and cash tasks progress in the background, and teams spend more time on judgment than status gathering. The net result: cycle times shorten, risks surface earlier, and operating tempo meets market tempo—and teams operate at their full potential.
At the heart of this transformation is CWAN’s partnership with AWS, combining enterprise-level security with scalable computing power. With real-time data processing, encrypted model execution, and low-latency workflows, CWAN GenAI is built to perform at the pace of institutional investment operations—and to do it with complete transparency and compliance. Every prompt, intermediate step, handoff, approval, and output is captured in a single, explainable audit trail.
CWAN GenAI is built into how the platform runs—on connected data and backed by enterprise-grade governance. Repeatable tasks execute automatically, exceptions surface with evidence, and teams spend their time on judgment rather than gathering and processing data. Decisions move faster and operations keep pace without added complexity. That’s how teams close the gap between market velocity and operational capability.
Join us on December 11 to see CWAN GenAI in production and explore how it can revolutionize your investment operations.
If you’re a client, your Client Services team can help enable agents and workflows aligned to your processes.