Deutsche Bank deploys Farsight AI on-premises for bankers

Deutsche Bank has deployed Farsight's AI platform on-premises across its investment banking and capital markets teams in Europe and North America, placing the system inside the bank's own technology environment.

The deployment is intended to let teams use AI in sensitive internal workflows while drawing on the bank's own data, prior work and internal standards. Farsight said the setup supports bankers with materials and processes tailored to individual teams.

According to the companies, the system supports investment banking and capital markets operations rather than serving as a standalone assistant. The platform can incorporate internal precedent, proprietary information and workflow requirements, and it works through an automated chat interface that uses context and feedback over time.

The move reflects a broader shift in financial services, as banks seek to apply AI within regulated environments where control over data handling remains central. Running software on-premises rather than in an external environment is one way firms keep sensitive information within their own infrastructure.

Deutsche Bank's deployment spans teams in Europe and North America, indicating a broader operational scope than a pilot programme limited to one business line or geography. The approach lets staff apply AI to internal materials while the bank retains oversight of how that information is accessed and used.

George Tierney, Managing Director and Global Chief Operating Officer for M&A at Deutsche Bank, said deal teams need systems that reflect differing client-facing standards.

"Our teams have very specific standards for what goes in front of a client, and those standards vary from group to group," said George Tierney, Managing Director and Global Chief Operating Officer for M&A at Deutsche Bank. "Farsight gives our teams a way to apply AI to their own workflows and materials while operating within Deutsche Bank's technology environment. That combination of control and customization is critical to making AI work in a global, regulated enterprise like Deutsche Bank."

Data control

Large financial institutions have explored AI tools for several years, but adoption in core workflows has been slowed by questions over data privacy, compliance and output reliability. In sectors such as investment banking, those concerns are heightened by the use of confidential client information, internal research, valuation models and draft transaction documents.

Farsight said its software can run partially or fully within a firm's own environment. That structure is intended to let institutions use internal knowledge and historical work product without moving those assets outside the organisation.

One challenge for banks using generative AI has been moving beyond generic output to systems that follow house style, internal review processes and team-specific practices. In merger advisory and capital markets work, documents often need to conform closely to established formats and approval standards before they are shown to clients.

Farsight Co-Founder and Chief Executive Officer Samir Dutta said banks were seeking to embed long-built institutional knowledge into AI-driven processes rather than rely on general-purpose systems alone.

"Banks have spent decades building proprietary data, workflows and judgment that shape how their teams work," said Samir Dutta, Co-Founder and CEO of Farsight. "Running Farsight within a bank's own infrastructure allows that knowledge to remain inside the institution while becoming part of how teams use AI. By incorporating banker feedback, Farsight can help AI reflect how a bank approaches client work rather than relying solely on general-purpose outputs."

Wider adoption

The rollout also points to a growing commercial push by specialist AI vendors to win mandates from global financial groups. Rather than market single-purpose tools, many are positioning themselves as providers of software that can be embedded into document production, analysis and internal collaboration across multiple teams.

Farsight said it already supports teams at some of the world's largest financial institutions, though it did not identify them beyond Deutsche Bank. The company focuses on financial services and says its software is used across web-based workflows as well as in PowerPoint, Excel, Word and email.

Its products are aimed at work including pitch books, confidential information memoranda, internal memos and financial models, all of which sit near the centre of day-to-day activity in investment banking and related advisory work.

For Deutsche Bank, implementing the platform inside its own systems suggests banks are moving from limited experimentation with AI tools toward more integrated use in selected business processes where data governance can be maintained.

The deployment lets teams apply AI to internal data and workflows while maintaining greater control over how the bank accesses and uses that information.