Generative AI for Finance Workflows Training Course

Name: Advanced Generative AI for Finance Workflows Training Course
Availability: InStock

Design, test, and govern LLM-supported analysis, reporting, forecasting, and document workflows for finance teams.

At a glance

Duration: 1 Week
Format: Classroom
Cities: Bangkok, Kuala Lumpur, Amsterdam, Singapore, Istanbul, New York and more
Next session: 25 – 29 October 2026, Bangkok
Average fee: 5,750 €

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Advanced Generative AI for Finance Workflows Training Course

Overview

Advanced Generative AI for Finance Workflows Training Course is a one-week course for finance leaders, controllers, FP&A teams, treasury professionals, investment analysts, and transformation teams who leave with a Governed Finance AI Workflow Pack. Participants apply generative AI finance workflow design, finance prompt engineering, financial document review with AI, AI-assisted forecasting controls, and finance AI output evaluation to traceable work. The course keeps human authority over financial decisions. Agile Leaders Training Center develops governed generative AI use in finance.

Who Should Attend

Teams responsible for financial planning, analysis, and management reporting
Functions responsible for controllership, close, and financial document review
Treasury teams responsible for liquidity analysis and cash forecasting
Investment teams responsible for research, screening, and decision support
Transformation teams responsible for finance technology and operating controls

The course assumes participants can interpret financial models, reports, and control requirements, and it leaves out model coding and autonomous financial decision-making.

Departments and Industries

The course supports departments and industries that use financial evidence, narrative, and forecasts in controlled decisions.

Corporate finance, FP&A, controllership, and treasury
Banking, insurance, investment, and asset management
Manufacturing, retail, logistics, and energy finance
Audit support, tax operations, and financial advisory
Finance transformation, data governance, and internal controls

Learning Objectives

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

Evaluate finance use cases and define accountable boundaries
Build structured prompts and grounded workflow instructions
Apply LLMs to documents, analysis, reports, and forecasts
Measure accuracy, traceability, consistency, and control performance
Diagnose privacy, model, and third-party risks
Build a governed implementation plan with human review

Course Agenda

Day 1: Finance Use Cases and Boundaries

Finance LLM Use-Case Inventory
Value, Feasibility, and Risk Screening Matrix
Human Authority and Decision Boundary Map
Financial Data Classification Register
NIST AI RMF Govern-Map Control Canvas

Day 2: Prompt and Workflow Design

Finance Prompt Specification Template
Context, Constraint, and Output Schema Method
Approved-Source Grounding Checklist
Document Extraction and Review Workflow
Prompt Version and Change Log

Day 3: Analysis, Reporting, and Forecasting

Variance Commentary Evidence Table
Management Report Drafting Flow
Cash Forecast Assumption Review Grid
Scenario Narrative Consistency Test
Investment Research Claim Verification Sheet

Day 4: Evaluation, Controls, and Deployment

Finance AI Test Case Library
Accuracy and Traceability Evaluation Scorecard
Hallucination and Exception Escalation Protocol
Privacy and Third-Party Risk Checklist
NIST AI RMF Measure-Manage Review Gate

Day 5: Governed Finance AI Practice

Exercise: Screen a Finance LLM Use Case
Exercise: Build and Test a Grounded Prompt
Exercise: Verify a Financial Report Draft
Exercise: Review Forecast and Privacy Controls
Capstone Exercise: Governed Finance AI Workflow Pack

Practical Exercises

The course uses suggested activities to convert finance tasks into controlled, reviewable AI-supported workflows.

Suggested activity: classify data and assign human authority for a finance use case
Suggested activity: build a grounded prompt for variance analysis and test its outputs
Suggested activity: verify claims in an AI-assisted management report
Suggested activity: design evaluation, privacy, escalation, and deployment controls

FAQs

Who suits advanced generative AI for finance workflows training?

Finance leaders, controllers, FP&A teams, treasury professionals, investment analysts, and transformation teams suit the training. Participants should already interpret financial models, reports, and controls.

How does generative AI for finance workflows differ from general AI training?

Generative AI for finance workflows focuses on financial evidence, prompts, documents, forecasts, evaluation, privacy, and accountable review. General AI training usually focuses on broader concepts and tools.

How can LLMs support financial analysis without replacing judgment?

LLMs can organize evidence, draft commentary, compare scenarios, and surface questions while named finance professionals verify sources, challenge assumptions, and retain decision authority.

How should finance teams evaluate generative AI outputs?

Finance teams should test outputs against approved sources and expected results, record accuracy and traceability, review exceptions, and define acceptance and escalation criteria.

What controls protect confidential financial data in generative AI workflows?

Data classification, approved tools, access limits, minimized inputs, retention rules, third-party review, output verification, and incident escalation protect confidential financial data.

Conclusion

Participants take back a Governed Finance AI Workflow Pack containing use-case screens, prompt specifications, grounding checks, test cases, evaluation scorecards, risk controls, and a deployment gate. The pack changes informal experimentation into documented finance workflows. It helps teams apply generative AI while preserving evidence, confidentiality, review, and human authority.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 75 events

Location	Dates	Duration	Mode	Price
Istanbul	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€4,500
Montreux	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€7,500
London	Week 07, 2027 15 – 19 February 2027	1 Week	Onsite	€5,700
Porto	Week 07, 2027 15 – 19 February 2027	1 Week	Onsite	€5,700
Muscat	Week 07, 2027 21 – 25 February 2027	1 Week	Onsite	€5,700
Amsterdam	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€5,700
Casablanca	Week 09, 2027 1 – 5 March 2027	1 Week	Onsite	€4,100
Baku	Week 10, 2027 8 – 12 March 2027	1 Week	Onsite	€5,000
Manama	Week 10, 2027 14 – 18 March 2027	1 Week	Onsite	€4,700
Rome	Week 11, 2027 15 – 19 March 2027	1 Week	Onsite	€5,700
Cape town	Week 12, 2027 28 March – 1 April 2027	1 Week	Onsite	€4,500
Kuala Lumpur	Week 13, 2027 29 March – 2 April 2027	1 Week	Onsite	€5,200
Abu Dhabi	Week 14, 2027 5 – 9 April 2027	1 Week	Onsite	€4,700
London	Week 15, 2027 12 – 16 April 2027	1 Week	Onsite	€5,700
Tashkent	Week 15, 2027 18 – 22 April 2027	1 Week	Onsite	€4,500
Dubai	Week 16, 2027 19 – 23 April 2027	1 Week	Onsite	€4,500
Trabzon	Week 16, 2027 25 – 29 April 2027	1 Week	Onsite	€6,800
Sharm El-Sheikh	Week 17, 2027 26 – 30 April 2027	1 Week	Onsite	€4,100
Milan	Week 18, 2027 3 – 7 May 2027	1 Week	Onsite	€5,700
Jakarta	Week 18, 2027 3 – 7 May 2027	1 Week	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewAdvanced Generative AI for Finance Workflows Training Course is a one-week course for finance leaders, controllers, FP&A teams, treasury professionals, investment analysts, and transformation teams who leave with a Governed Finance AI Workflow Pack. Participants apply generative AI finance workflow design, finance prompt engineering, financial doc…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Generative AI for Finance Workflows Training Course