November 9, 2026, (Inside AI) — Northern Trust and Microsoft Corp. on Monday announced an expanded collaboration to accelerate AI transformation across the financial services firm, starting with a new AI-powered client onboarding agent for Northern Trust Asset Servicing's Front Office Solutions platform.
The agent, developed jointly by Northern Trust and Microsoft Frontier Company Forward Deployed Engineering teams, automates the conversion of clients' historical transaction data into Northern Trust's standardized format. It cuts data preparation time by 83%, from two and a half weeks to three days, while achieving a 96.5% F1 first-pass quality score, according to the companies.
The deal marks one of the first production-scale deployments of a frontier AI agent in institutional asset servicing, a sector where data complexity and regulatory scrutiny have historically slowed automation. Northern Trust, founded in 1889 and based in Chicago, reported $19.9 trillion in assets under custody and administration as of September 30, 2026.
Why Onboarding Is The Hard Part
Onboarding institutional investors, including foundations, endowments, pension schemes and large family offices, requires Northern Trust to consolidate years of investment and transaction history from multiple sources. Reconstructing performance histories for alternative assets is particularly complex. More than half of asset owners (57%) surveyed by Northern Trust cite consolidating data from disparate internal and external sources as their biggest challenge.
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The new agent addresses that bottleneck by using AI to transform and validate historical data before a client goes live. Built on Microsoft Azure, it uses Microsoft Foundry for enterprise AI and integrates with Microsoft 365 tools like Excel and SharePoint, so analysts can review, refine and approve the agent's work. A governed intelligence layer preserves approved onboarding knowledge, allowing the solution to improve over time.
"At Northern Trust, our close relationships with our clients give us a unique perspective on how their needs are evolving and where we can create value," said Pete Cherecwich, Chief Operating Officer, Northern Trust. "The client onboarding agent is an example of an approach that combines Northern Trust's asset servicing expertise with Microsoft's AI capabilities to help get clients up and running more quickly during onboarding. The solution reduces the time required to prepare and validate clients' data while maintaining the oversight and controls our clients expect, creating capacity for both sides to focus on higher-value work."
The deployment reflects a broader push by financial firms to adopt AI agents for back-office workflows. Unlike consumer-facing AI, these systems must meet strict data privacy and governance standards. Northern Trust and Microsoft say they used an "eyes-off" approach, where Microsoft improved the agent's F1 score and other metrics using only anonymized data. Client data remained under Northern Trust's control throughout the process.
"Advanced AI can turn deep industry expertise into better client experiences and new capacity for growth," said Bill Borden, Corporate Vice President, Worldwide Financial Services, Microsoft. "Through Microsoft Frontier Company, our collaboration with Northern Trust shows what next-generation enterprise operating models can look like: AI amplifying human expertise to accelerate service delivery and improve agility, with governance and human oversight built in. This approach points to a broader opportunity across regulated industries to transform complex workflows and deliver business value without compromising trust."
The 96.5% F1 score comes from controlled testing across seven representative test cases using real, anonymized historical client transaction workbooks supplied by Northern Trust. Agent-generated outputs were compared with analyst-prepared reference outputs withheld during execution, before any human feedback or corrections.
Human oversight remains embedded in the workflow. Analysts review outputs, evaluate reasoning, resolve exceptions and provide feedback that continuously improves the agent. By using the agent during implementation, before the client goes live, analysts can identify and reconcile errors while validating the client's starting data.
The collaboration arrives as financial services firms face growing pressure to modernize legacy processes without compromising compliance. Northern Trust's approach, which keeps humans in the loop and data under its own governance, could serve as a template for other regulated industries exploring agentic AI. The companies have not disclosed financial terms of the expanded collaboration.
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Northern Trust has applied AI to its operations for several years, but this marks a shift toward agentic systems that can execute multi-step tasks with minimal human intervention. The firm's strategy centers on "augmented intelligence," using AI as a force multiplier for human expertise while keeping judgment and accountability with people.
The onboarding agent is now deployed for Front Office Solutions clients. Northern Trust and Microsoft said they plan to extend the collaboration to other business processes across the firm, though they did not provide a timeline.
Shamil has a low tolerance for AI that only works in controlled demos. He covers agentic systems and generative AI with the skepticism of someone who has seen too many “revolutionary” tools quietly disappear six months after launch.
