AI in finance. For banks and financial services firms.
Research, reporting and client operations with Claude, set up with the controls supervisors expect, documented for DORA and governed under the EU AI Act.
30 minutes with a solution architect.
What is AI in finance, and how does Solorai help?
AI in finance is the use of AI models such as Claude to research companies and markets, prepare reports, support client and KYC operations and automate back-office work, with people accountable for every decision. Solorai sets up Claude Enterprise for banks and financial services firms, builds AI agents for financial workflows, governs their use under the EU AI Act and documents them for DORA.
Written and reviewed by Solorai
- to assess your use cases and data
- 2 weeks
- people, at most, in a first pilot
- 50
- to roll out to up to 250 people
- 6 to 8 weeks
What can banks and financial firms do with Claude?
The six uses financial firms usually start with. People stay accountable for every figure, every client file and every decision.
Banks and investment firms
Research and analysis
Turn filings, earnings calls and market news into briefs that an analyst checks against the sources.
Finance teams
Reporting and month-end close
Draft management commentary, explain variances against plan and prepare board packs from your own figures.
Banks
Client and KYC operations
Collect the documents for a know-your-customer review, check them for gaps and prepare the file for an analyst to approve.
Compliance teams
Regulatory change
Compare internal policies with new rules, map the gaps and draft the updates for the compliance team.
Wealth and private banking
Client communication
Draft answers to client questions and meeting notes in the client’s language, for an adviser to review and send.
Corporate banking
Credit memos for business lending
Assemble credit memos from financial statements and internal data. The decision stays with the credit committee.
Confidentiality and compliance
How does AI in finance stay secure and compliant?
Supervisors expect the same discipline for AI as for any other critical system. These are the controls we put in place before the first workflow goes live.
Data under your control
Work runs in your own Claude Enterprise organisation, with single sign-on, roles and data policies. Under Anthropic’s commercial terms, your content is not used to train models by default.
Documented for DORA
We document the Claude service for your register of information and your ICT third-party risk assessment, inside the framework you already run.
People decide
Credit, investment and client decisions stay with people. AI agents prepare the work and ask for approval before anything leaves the firm.
Classified under the EU AI Act
We classify each use before it goes live and tell you early which ones are high-risk, such as credit scoring of individuals.
Unacceptable risk
Banned since 2 February 2025, such as social scoring or emotion recognition at work.
High risk
- Credit scoring and creditworthiness checks of individualsHigh-risk obligations, Annex III, point 5(b)
- Screening job applicantsHigh-risk obligations, Annex III, employment
Limited risk
- A chatbot that answers client questionsTell users they are talking to an AI system
Minimal risk
- Research, reporting and drafting for internal teamsAI policy and AI literacy measures for staff
Obligations for the high-risk uses listed in Annex III apply from 2 December 2027, as amended by Regulation (EU) 2026/1744. AI used to detect financial fraud is excluded from point 5(b). We classify every use before it goes live.
How we deliver
How does Solorai deliver AI in finance?
The same three services as in every engagement, set up for the rules of this sector.
Claude Enterprise
Claude for every analyst and team: single sign-on, roles, data policies, connectors to your data sources and training on real work.
Claude Enterprise servicesAI agents
One agent per workflow, such as KYC file preparation, variance commentary or policy mapping, monitored, logged and approved by a person.
AI agent servicesEU AI Act and governance
An inventory of every AI use, risk classification under the EU AI Act, an AI policy, documentation for DORA and training for staff.
EU AI Act compliance services
Where to start
AI readiness assessment
About 2 weeks
We map your teams, data sources and systems, and pick the uses with the clearest value.
Pilot
Up to 50 people
One team works on real files, with success criteria and controls agreed before the start.
Rollout
6 to 8 weeks
Claude goes to every team in scope, with connectors, playbooks and training.
FAQ
AI in finance, in short
What is AI in finance?
AI in finance is the use of AI models such as Claude in banks and financial services firms: researching companies and markets, preparing reports, supporting client and KYC operations and automating back-office work. People stay accountable for every decision.
What is Claude for Financial Services?
Claude for Financial Services is the offering Anthropic launched in July 2025 for financial institutions, with connectors to financial data providers and enterprise platforms. Solorai is independent from Anthropic: we help firms set up Claude, connect it to their own data and govern its use.
How is AI used in banking?
Banks use AI for research, credit memos for business lending, KYC file preparation, regulatory change, client communication and internal reporting. Credit, investment and client decisions stay with people.
Does DORA apply to AI services such as Claude?
DORA applies to EU financial entities since 17 January 2025. Every contractual arrangement for ICT services, AI services included, goes into the register of information and is managed as ICT third-party risk.
Is credit scoring with AI high-risk under the EU AI Act?
Yes, for individuals. AI used to evaluate the creditworthiness of natural persons or establish their credit score is high-risk under Annex III, with obligations from 2 December 2027. AI used to detect financial fraud is excluded.
How does a financial firm start with AI?
With an AI readiness assessment of about 2 weeks, then a pilot with one team of up to 50 people, then a rollout of 6 to 8 weeks to the teams in scope.
Related reading
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Custom AI agent development
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What is sovereign AI
Sovereign AI explained: data residency, private and on-premise LLMs, and how companies keep control of AI models and data.
Read the definition
Sources: Regulation (EU) 2024/1689, Regulation (EU) 2026/1744
AI for your financial services firm. Start with a 30-minute briefing.
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