Training course · Microsoft 365 Copilot · Banking

Microsoft 365 Copilot for Banks

Use Microsoft 365 Copilot and Copilot Chat in Word, Excel, PowerPoint, Outlook and Teams productively, securely and in line with permissions.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Microsoft 365 Copilot for Banks” is designed for roles such as Corporate and retail relationship managers, Credit analysts and credit operations staff and Compliance, AML and risk management teams and shows step by step how to use Microsoft 365 Copilot productively, safely and transparently in Banking – from the fundamentals to advanced workflows.

Microsoft 365 Copilot brings AI right into the applications where your daily work happens: Word, Excel, PowerPoint, Outlook and Teams. What sets it apart from publicly available chatbots is its grounding in your organisation's data via Microsoft Graph – Copilot can draw on the emails, meetings, chats and documents you already have access to. In this practical day you learn to use that connection deliberately: drafting content from existing files, summarising inboxes and long threads, following up on meetings and generating presentations from Word documents.

You also learn how the licensed Copilot differs from Copilot Chat, when web-grounded and when work-grounded answers make sense, and how to use both prebuilt and your own agents. A central topic is the permission model: Copilot only surfaces what you are allowed to see, so sharing settings in SharePoint, OneDrive and Teams directly determine the quality and security of results. You leave with tested prompts for every Office application and a clear understanding of responsible use within your tenant.

Banks operate between rising cost pressure, digital competitors and dense regulation. Generative AI offers tangible efficiency gains: AI assistants analyse credit files and financial statements, summarise regulatory publications, help relationship managers prepare client meetings and answer internal questions about policies and procedures. AI agents and automation speed up processes in credit operations, KYC and complaints handling. At the same time, specific requirements apply: outsourcing and ICT risk management, traceable decisions and protection of customer data. Banks using AI must assess use cases carefully, integrate models and providers into risk management and assign clear responsibilities. Then AI becomes a tool for better advice and leaner processes.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Corporate and retail relationship managers
  • Credit analysts and credit operations staff
  • Compliance, AML and risk management teams
  • Organisation and process owners
  • Internal audit

Typical challenges we address

  • Analysing extensive credit files and financial reports efficiently
  • Tracking and implementing regulatory changes from the EBA, ECB and national supervisors
  • Meeting documentation duties in advisory and lending processes
  • Reducing manual checks in KYC and AML without compromising quality

What you will be able to do

  • You use Copilot in Word, Excel, PowerPoint, Outlook and Teams for your recurring tasks.
  • You write prompts that draw on existing files, emails and meetings as context.
  • You distinguish between Microsoft 365 Copilot and Copilot Chat and choose the right mode.
  • You use prebuilt agents and create a simple agent of your own for your team.
  • Identify and assess AI use cases across front office, credit operations and compliance.
  • Use AI for credit analysis, regulatory research and client communication with clear review steps.
  • Take supervisory requirements on risk management, DORA and outsourcing into account when using AI tools.

Course outline

Module 1 Copilot fundamentals and Microsoft Graph
  • Microsoft 365 Copilot and Copilot Chat: capabilities and licensing
  • Grounding in organisational data through Microsoft Graph
  • Switching between web and work context and referencing specific files
  • Prompt structure with goal, context, source and expectations
Module 2 Word and PowerPoint
  • Drafting from existing documents, notes and emails
  • Rewriting, shortening, adjusting tone and summarising text
  • Generating presentations from Word documents or outlines
  • Refining slides, adding speaker notes and sharpening key messages
Module 3 Excel and data analysis
  • Querying tables, spotting trends and highlighting outliers
  • Getting suggestions for formulas, calculated columns and conditional formatting
  • Creating charts and pivot analyses from natural language
  • Sanity-checking results and ensuring data quality
Module 4 Outlook, Teams and agents
  • Summarising long email threads and drafting replies
  • Summarising Teams meetings and extracting action items and open questions
  • Using Copilot Pages and Notebooks for collaborative work
  • Using prebuilt agents and creating your own with Agent Builder
Module 5 Permissions, data protection and governance
  • The permission model: Copilot only shows what you can access
  • Identifying oversharing in SharePoint, OneDrive and Teams
  • Sensitivity labels, data boundaries and GDPR considerations
  • Usage policies, team adoption and measuring impact
Module 6 Practice lab: Banking
  • Credit file analysis
  • Regulatory monitoring
  • Client meeting preparation
  • KYC research support
  • Complaint classification
  • Internal knowledge assistant
Module 7 Data protection, quality & transfer to daily work
  • AI use in banks is subject to supervisory requirements such as the German MaRisk, DORA for ICT risk and third-party providers, banking secrecy and the GDPR. Creditworthiness assessments of natural persons are classified as high-risk under the EU AI Act, with additional obligations.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Credit file analysis

An AI assistant summarises annual accounts, management accounts and business plans, calculates ratios via transparent formulas and drafts the credit memo, which analysts review before making their recommendation.

Regulatory monitoring

New circulars, guidelines and consultations are collected and summarised automatically; AI maps them to affected departments and produces an initial gap list against existing policies.

Client meeting preparation

Relationship managers receive a concise briefing from approved data sources covering product holdings, open topics and suggested questions, without AI making investment or credit recommendations on its own.

KYC research support

AI structures company register extracts, ownership structures and adverse media, proposes likely beneficial owners and documents sources so that staff can complete reviews faster.

Complaint classification

Incoming complaints are categorised by topic, urgency and product, deadlines are flagged and draft responses prepared for the complaints team to review and approve.

Internal knowledge assistant

An AI assistant answers questions about procedures, product terms and processes based on the bank's written rules and always cites the source for verification.

Prerequisites

Confident everyday use of Word, Excel, PowerPoint, Outlook and Teams; no prior AI knowledge is required. You work at a bank or financial services provider and know the core processes of your area.

Technical requirements

A laptop with access to Microsoft 365 via your work account; a Microsoft 365 Copilot licence is ideal for all exercises, while Copilot Chat covers part of the content.

Data protection & compliance

AI use in banks is subject to supervisory requirements such as the German MaRisk, DORA for ICT risk and third-party providers, banking secrecy and the GDPR. Creditworthiness assessments of natural persons are classified as high-risk under the EU AI Act, with additional obligations.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Wed, 25 November 2026 Online Request
  • Mon, 30 November 2026 Hanover Request
  • Mon, 14 December 2026 Online Request
  • Thu, 7 January 2027 Online Request
  • Thu, 21 January 2027 Munich Request
  • Mon, 25 January 2027 Online Request

Frequently asked questions

What is the difference between Microsoft 365 Copilot and Copilot Chat?

Copilot Chat is available to many work accounts without an additional licence and answers mainly from web content and uploaded files. The licensed Microsoft 365 Copilot also reaches your emails, meetings and documents through Microsoft Graph and is built directly into Word, Excel, PowerPoint, Outlook and Teams.

Can Copilot see my colleagues' confidential files?

Copilot respects existing permissions and only surfaces content you can already access yourself. Problems arise when files are shared too broadly – with the entire organisation, for instance. In the course you learn how to spot such oversharing and how to fix it properly together with your IT team.

Do I need prompting experience for this course?

No. We start with the fundamentals of good prompts and practise them directly in the Office applications. What matters is that you are comfortable using Word, Excel, PowerPoint, Outlook and Teams day to day. Everything else – from referencing files to working with agents – we build up step by step through realistic tasks.

Does using an external AI service count as outsourcing?

It depends on the use case. Many AI services must at least be assessed as ICT third-party services under DORA, and some as outsourcing under national supervisory rules. We show which questions to clarify with information security, outsourcing management and compliance before a tool goes into production.

May AI decide on loans?

Credit decisions remain the responsibility of authorised staff. AI can prepare documents and analyses. If AI systems are used to assess the creditworthiness of natural persons, the high-risk obligations of the EU AI Act apply, together with transparency and explanation duties towards customers.

How much does “Microsoft 365 Copilot for Banks” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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