Financial Statement Spreading and Analysis with Claude AI

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Course Description

This intensive one-day course equips bank credit analysts with the skills to leverage AI — specifically Anthropic’s Claude — for financial statement spreading and analysis with Claude AI. Participants will learn a structured, repeatable workflow that combines traditional credit analysis fundamentals with modern prompt engineering techniques.

The course covers the full end-to-end spreading cycle: from evaluating source document quality and crafting effective AI prompts, through income statement, balance sheet, and cash flow spreading, to ratio analysis, trend interpretation, and credit narrative generation.

Throughout the training, participants work with a standardized 6-step Claude prompt chain and six reusable templates, ensuring consistency and auditability. The course culminates in hands-on practice with real financial statements, reinforcing each concept through direct application.

Format

Instructor-led, in-person or virtual
8 hours (09:00 AM – 17:00 PM)
Includes breaks and lunch
Combination of lecture, live demonstration, and hands-on exercises

What is Claude?

Claude is a next-generation AI assistant and family of large language models (LLMs) developed by Anthropic, designed to be safe, accurate, and highly performant in reasoning, coding, and analysis. Known for its “helpful, honest, and harmless” approach, Claude is a popular alternative to ChatGPT, often used for complex tasks, creative writing, and processing long documents.

Trainer Profile

Purwadi Nitimidjojo

the trainer, started his financial modelling career in early 2005 after working for Indonesian Bank Restructuring Agency (IBRA / BPPN) during the monetary crisis from 1998 through 2004. At IBRA’s Credit Risk Management Division he developed various financial models for debt restructuring and corporate restructuring and learned that most of IBRA’s large debtors hired foreign financial consultants to develop financial models as they didn’t have any resources who could develop proper financial models, and financial modelling training courses were not available back then. This is when he saw an opportunity to deliver financial modelling training courses and develop best-practice financial models for clients in various industries in Jakarta.

In early 2005 Purwadi teamed up with two of his friends and used “Edward, Farral & Peterson” and “Edward & Peterson” as their brands to provide monthly public training courses and financial modelling services until early 2012 before he was hired by Deloitte Financial Advisory as a Financial Modelling Director to do the same. At Deloitte he and his financial modelling team developed best-practice financial models for his clients in various industries for various purposes and delivered monthly financial modelling and Power BI training courses for the public, clients, and Deloitte’s internal staff in Indonesia, Singapore, Malaysia, Thailand, and Cambodia.

After spending 10 years working for Deloitte, he returned to his own financial modelling business and is now working as a financial modelling subcontractor for BDO and Deloitte as well as an independent private financial modelling consultant and trainer.

Course Objectives

Upon completion of this course, participants will be able to:

Evaluate source document quality — Assess PDF readability, identify OCR issues, and interpret audit opinions before spreading
Construct effective AI prompts — Apply the five pillars of prompt engineering to produce accurate, consistent spreading outputs
Execute the 6-step Claude prompt chain — Use Templates 1–4 to spread income statements, balance sheets, and cash flow statements
Perform ratio-driven financial analysis — Calculate and interpret profitability, efficiency, liquidity, leverage, and coverage ratios
Apply QA verification protocols — Use Template 5 (QA Check) to validate AI outputs against source documents systematically
Synthesize a credit narrative — Connect ratios, trends, and benchmarks into a cohesive credit story using Template 6F
Benchmark against industry peers — Contextualize financial performance using sector-specific comparisons and trend analysis

Schedule 2026

28 January 2026
18 February 2026
9 March 2026
23 April 2026
13 May 2026
15 June 2026
10 July 2026
18 August 2026
21 September 2026
9 October 2026
11 November 2026
9 December 2026

Full Day Training: 09.00 – 17.00 wib

Venue Training

Yogyakarta:

NEO Hotel Malioboro Yogyakarta
Royal Malioboro by ASTON Yogyakarta
Novotel Suites Yogyakarta Malioboro

Jakarta:

Swiss-Belinn Simatupang, Jakarta Selatan
Swiss-Belhotel Pondok Indah, Jakarta Selatan
Ibis Styles Simatupang, Cilandak, Jakarta Selatan

(Kepastian venue akan dikonfirmasikan H-4 sebelum event)

Investment Fee

Yogyakarta: IDR 4,950,000/ Peserta

Jakarta: IDR 3,490,000/ Peserta

Harga sudah termasuk Training Material, Sertifikat, Lunch & Coffee Break, Souvenir, Door Prize.
Discount 10% bagi peserta yang mendaftar lebih dari 1 participants dan pembayaran dilakukan sebelum event berlangsung.
In-House Training: minimal 4 Peserta.

Course Prerequisites

Required Knowledge

Foundational understanding of financial statements (income statement, balance sheet, cash flow)
Basic familiarity with credit analysis concepts (ratios, risk assessment, lending principles)
Comfort working with spreadsheets (Excel or equivalent) for data review

Technical Requirements

Access to Claude (Anthropic) — an active account will be required for hands-on exercises
Laptop with internet access and a modern web browser

Recommended (Not Required)

Prior experience with financial statement spreading (manual or automated)
Familiarity with AI chat interfaces (no programming knowledge required)

Course Agenda

09:00 – 09:30 UNIT 1: FOUNDATIONS

Why spreading matters
Chase Manhattan Standard
Manual vs. AI-assisted workflow

09:30 – 10:00 UNIT 2: PREPARING YOUR INPUTS

PDF quality checks
Reading the audit opinion
Red flags in source documents

10:00 – 11:00 UNIT 3: PROMPT ENGINEERING FOR SPREADING

Five pillars of effective prompts
Prompt best practices (Do vs. Don’t)
6-step Claude prompt chain
Templates 1–4: Briefing, IS/ BS Mapping, Cash Flow

11:00 – 12:00 UNIT 4: FINANCIAL STATEMENT ANALYSIS

Ratio deep-dives: Profitability, Efficiency, Liquidity, Leverage, Coverage
Trend analysis
Industry benchmarking
Worked example: ratios to credit story

13:00 – 14:00 UNIT 5: QA & VERIFICATION

QA Check (non-negotiable)
Ratio analysis across six categories
Reference sheet
Credit narrative summary prompt

14:00 – 16:30 UNIT 6: HANDS-ON PRACTICE

Hands-on exercise
Key rules: Do and Don’t
Live practice with sample statements

16:30 – 17:00 WRAP-UP: Key Takeaways & Q&A

Key Takeaways

By the end of this training, participants will leave with:

A complete, reusable prompt toolkit — Six battle-tested templates (Master Briefing, IS Mapping, BS Mapping, Cash Flow, QA Check, Ratio Analysis) ready for immediate use
A structured end-to-end workflow — The 6-step Claude prompt chain that takes any financial statement from raw PDF to spread, analysis, and credit narrative
Confidence in AI-assisted analysis — Practical hands-on experience prompting Claude for accurate spreading with built-in quality checks
A ratio reference and flag threshold guide — Formulas and benchmarks for profitability, efficiency, liquidity, leverage, and coverage ratios
A QA mindset — The discipline to verify every AI output against source documents before relying on it for credit decisions
A credit narrative framework — The ability to synthesize ratio analysis, trends, and peer benchmarks into a cohesive credit story