Google launches Gemini Enterprise for financial services

Google Cloud has introduced Gemini Enterprise for Financial Services, aimed at capital markets and corporate banking.

The offering brings Google's Gemini Enterprise platform into financial research and related workflows. It combines reusable, task-specific skills, connections to licensed and internal data sources, managed agents and a partner network for implementation.

At the centre of the launch is a Financial Research agent that can run end-to-end research tasks. Google said it includes explainability features such as confidence scores, stated methodologies, data snapshots for audit purposes and source citations. Analysts can use the agent in the Gemini Enterprise app or connect it to existing workflows through Agent-to-Agent APIs.

Google Cloud is positioning the product for work that depends on strict controls over data access and traceability. Access to connected systems remains subject to existing entitlements, meaning licensed market data and permissioned internal information stay within current controls.

The product also includes a single control dashboard for IT and risk teams. Google said it enforces security policies, preserves private data isolation and requires outputs to be grounded in traceable citations.

Financial workflows

Google outlined several use cases across banking and investment operations, including credit risk assessment, portfolio monitoring, market news synthesis, Know Your Customer research and investigative financial analysis.

The system can process content from PDFs, spreadsheets and regulatory filings to help map corporate ownership structures, assess risk profiles and identify ultimate beneficial owners. Google also pointed to applications in bond portfolio risk analysis, credit market pricing research and bond issuance preparation.

According to Google, the Financial Research agent includes more than 50 foundational skills. These are designed to help institutions set repeatable methods for tasks such as report formatting, data extraction and research processes.

Alongside Google's own agent, the launch includes third-party agents for specialist tasks. Examples include a D&B Business Verification agent for onboarding and KYC work, FlowX agents for loan pack checks and document reconciliation, an Obin Financial agent for financial analysis and S&P Global agents for multi-step analysis and report generation.

Connector network

A key part of the launch is a set of secure Model Context Protocol connectors to financial technology and data platforms. Google said the product can connect with tools used for productivity, market data, ratings, private markets research, regulatory records and digital asset information.

Named providers include Google Workspace and Microsoft 365 for productivity. Data and research integrations listed by Google include Daloopa, FactSet, Finnhub, Fiscal.ai, Guidepoint, S&P Global, Moody's, MSCI, PitchBook, SEC Edgar, Dun & Bradstreet and CoinDesk Data and Indices.

Customers can also work with systems integrators and fintech partners including Accenture, Capgemini, Cognizant, Deloitte, Genpact, Infosys, KPMG, PwC and Slalom to customise deployments and fit the product into their technology environments.

Industry input

Google said it developed the service alongside financial institutions including Deutsche Bank and CME Group. Deutsche Bank was identified as a design partner for the Financial Research agent.

"As a design partner for the Financial Research agent, Deutsche Bank has helped shape this capability in view of the realities of a highly regulated industry - from data protection and governance to the workflows our teams use every day," said Marie-Jeanne Deverdun, Chief Technology, Data and Innovation Officer, and Member of the Deutsche Bank Management Board.

"Starting in the Corporate Bank, we see significant potential to reduce manual research effort, improve the consistency and auditability of outputs, and give our teams more time for client conversations. This is an important step in applying AI where it can make a practical difference: safely, responsibly and at scale."

The launch adds to Google Cloud's push to tailor generative AI products for regulated industries, where data governance, audit trails and controlled access are often decisive in procurement. Financial institutions have been testing AI tools for research, client reporting, onboarding and risk work, but many have moved cautiously because of concerns about hallucinations, opaque sourcing and restrictions on licensed datasets.

Google said customer data, business rules, intellectual property, custom agents and model outputs remain private to each organisation and are not used to train or fine-tune Google's foundation models. Gemini Enterprise for Financial Services is available in preview.