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Claude for Financial Services Training Course

Learn to use Claude for document review, reconciliation, reporting and communications in financial services, with human oversight and verification built into every workflow.

About this Claude for Financial Services course

Financial services teams routinely work with complex documents, figures, reports and customer communications where accuracy, traceability and accountability matter.

This practical one-day course explores how Claude can assist with that work without removing the checks and professional judgement that surround it. You will use fictional financial-services material to extract and compare information, reconcile figures, draft reports and communications, and develop repeatable workflows.

The emphasis throughout is on controlled use. You will learn how to verify Claude's outputs against source material, recognise tasks that should remain with a person or an established system, protect sensitive information, and retain evidence of what was checked and approved.

The course considers the UK financial-services environment, but does not provide financial, legal or regulatory advice. Your organisation's policies, approved systems and current regulatory requirements remain authoritative.

  • By the end of this course, attendees will be able to:

    • Identify financial-services tasks where Claude can usefully assist and recognise tasks that require established systems or human judgement
    • Use a structured prompting method to analyse financial documents and produce checkable, source-referenced results
    • Extract and compare information from agreements, policies and statements
    • Use Claude to assist with reconciliation and analysis while independently verifying figures, totals and matching logic
    • Draft management commentary and customer communications from supplied source material
    • Apply appropriate precautions when working with customer, confidential or sensitive information
    • Recognise prompt injection and other risks associated with untrusted documents and spreadsheets
    • Establish human review, evidence and sign-off points for AI-assisted workflows
    • Build and test a repeatable Claude workflow using Projects or Skills
    • Identify the records and controls your organisation should consider retaining around AI-assisted work
  • This course is intended for people working in financial services or finance functions who want to use Claude more effectively while maintaining appropriate professional and organisational controls.

    It will be particularly useful for:

    • Banking operations and middle/back-office teams

    • Insurance and claims operations

    • Wealth and asset-management operations

    • Finance, reporting and management-information teams

    • Compliance, risk, complaints and quality-assurance teams

    • Customer and client-service teams

    • Team leaders responsible for introducing or governing AI-assisted workflows

    The course is suitable for people who are new to Claude as well as occasional users who want a more structured approach.

  • Delegates should:

    • Be familiar with the documents and processes used in their own role

    • Have everyday experience of Microsoft Excel and Word

    • Understand their organisation's policies for handling customer and confidential information

    No previous Claude experience is required.

  • Does this course teach Claude to make financial decisions?

    No. The course teaches you to use Claude to assist with tasks such as document analysis, reconciliation, reporting and drafting. Human judgement, established systems and your organisation's approval processes remain responsible for decisions and actions.

    Does the course provide financial or regulatory advice?

    No. Regulatory material is used to help delegates understand the context in which AI may be used in UK financial services. The course does not provide financial, legal, compliance or regulatory advice. Current regulatory sources and your organisation's compliance policies remain authoritative.

    Can we use real customer or client information during the course?

    No. All practical exercises use fictional documents, figures and customer scenarios. You should not use real customer, personal, confidential or commercially sensitive information during the course.

    Do I need previous experience with Claude?

    No. The course is suitable for beginners and occasional Claude users. You should, however, understand the financial documents and processes relevant to your own role and be comfortable using Excel and Word.

    Does the course cover using Claude with Excel?

    Yes. The course demonstrates how Claude can assist with spreadsheet analysis, reconciliation and checking. The emphasis is on making the workings inspectable and independently checking important calculations rather than treating an AI-generated result as authoritative.

    How does the course deal with AI errors and hallucinations?

    Verification is built into the exercises. Delegates check extracted information against original documents, independently confirm totals and counts, distinguish supported facts from assumptions and retain human review for consequential work.

    Does the course cover data protection and confidential information?

    Yes. It considers data minimisation, anonymisation, approved accounts, sensitive information and the risks of uploading untrusted files. The rules that apply in your own organisation remain authoritative.

    Does the course cover FCA requirements for AI?

    The course introduces relevant aspects of the UK financial-services environment and emphasises accountability, customer outcomes and governance. It does not certify that a particular use of Claude meets FCA requirements. The FCA currently applies its existing regulatory framework to firms' use of AI rather than a separate set of AI-specific regulations.
    See "AI and the FCA: our approach"

    Can the course be tailored to our organisation?

    The emphasis and fictional exercises can be adapted to reflect the types of documents and workflows your team encounters. Any tailoring involving your organisation's policies, systems or regulatory requirements should be agreed before delivery.

    What practical outcome will I take away?

    By the end of the course, you will have worked through a fictional financial-services case spanning documents, figures, reporting and customer communications, and created a control sheet for a repeatable AI-assisted workflow.

    1. FCA: AI in financial services
      The FCA's central resource covering its approach, AI Lab, testing initiatives and current material for regulated firms. AI: artificial intelligence in financial services

    2. FCA: AI in financial services – good practice and areas for improvement
      Excellent companion resource because it deals specifically with Consumer Duty, vulnerable customers, governance, human oversight, risk thresholds, resilience and third-party relationships. AI in financial services: good practice and areas for improvement

    3. ICO: Data (Use and Access) Act 2025 – what it means for organisations
      Useful current context for personal data and significant automated decision-making following the DUAA changes. The Data Use and Access Act 2025 – what does it mean for organisations?

    4. Anthropic: Claude for Financial Services
      Vendor-side information on Claude's financial-services capabilities, data connections and enterprise positioning. Anthropic states that customer data is not used by default to train its generative models, but firms would still need to evaluate the exact service and configuration they intend to use. Claude for Financial Services

    5. Anthropic Trust Center
      Better than making security/compliance claims ourselves. Organisations evaluating Claude can consult Anthropic's current security and assurance material, including its SOC and ISO documentation. Trust Center

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