Explore/Free mini-course
AI Agents for Treasury →
FREE MINI-COURSE · 5 MODULES

AI for Treasury: Build Your Own Tools — No Coding Required

A practical guide for finance professionals. One mental model, one worked example, and three levels of building — from pasting a file into ChatGPT to a fully sanitized custom application — so you can pick the right one for your situation.

After this course, you will be able to
  • ✓ Break any AI idea into INPUT → PROCESS → OUTPUT before building anything
  • ✓ Apply the framework to a real problem: cash forecasting from bank statements
  • ✓ Choose between no-code, prompt+API, or a custom app for your own use case
  • ✓ Know exactly what data must never leave your control, and what's safe to send
  • ✓ Pick a concrete first step for today, based on where you're starting from

treasuryease.com

Every AI automation follows the same pattern

Whatever the tool, the shape is always the same. Your job is the two ends — AI only owns the middle.

Input
Your data sources
  • Bank statements
  • AR/AP exports
  • Payment files
Process
AI does the work
  • Categorize
  • Analyze patterns
  • Generate insights
Output
Actionable results
  • Forecasts
  • Alerts
  • Reports

Your job: define the INPUT and OUTPUT. AI handles the PROCESS. Most people who get stuck are trying to design the process first — start at the two ends instead.

Let's apply the framework to a real treasury problem

The problem
  • Manual consolidation from multiple banks
  • Excel formulas break when data changes
  • No time to analyze — only to compile
  • Forecasts are guesses, not predictions
AI solution
  • Input: bank statements (MT940/CSV)
  • Process: AI categorizes, spots patterns
  • Output: 7-day forecast + alerts
  • Time: 5 minutes instead of 2 hours

Now let's see three ways to build this — from simple to advanced. The next 3 screens cover Level 1, 2, and 3 of the same problem.

Level 1 — No-Code Tools

Start here. Zero technical skills required.

ChatGPT / Claude

Upload your Excel file. Ask questions. Get analysis in plain language.

Custom GPTs

Build a specialized assistant with your own instructions. Reusable.

Zapier / Make

Connect apps visually. When X happens, do Y. No code needed.

Example workflow

1. Export bank statement to CSV → 2. Upload to ChatGPT → 3. Ask: "Categorize these transactions and forecast next week's balance" → 4. Copy result to your report

✓ Free or cheap✓ Start in 5 minutes✓ No IT approval needed✗ Manual steps✗ Not automated✗ Data leaves your control

Level 2 — Prompt Engineering + API

Still no real coding — but more control and automation.

What is a prompt?

Instructions you give to AI. A good prompt is specific, structured, and includes examples of what you want.

What is an API?

A way for software to talk to AI directly. Think "send data → get answer" without a chat window.

Example: structured prompt for cash forecast
"You are a treasury analyst. Given the transaction data below, categorize each transaction (payroll, supplier, intercompany, tax, other) and forecast the cash position for the next 7 days based on historical patterns. Output as a table."

Tools: OpenAI API · Anthropic API · Google AI Studio · Microsoft Copilot Studio

Level 3 — Custom Application

When you need full control — or when IT/Security requires it.

When you need this
  • Data must stay on-premise
  • Need to integrate with SAP, Coupa, etc.
  • Fully automated — no manual steps
  • Security/compliance requirements
What to ask your developer
  • "Localhost only — no cloud servers"
  • "Sanitize data before API calls"
  • "Use corporate-approved AI endpoint"
  • "Output in Excel/CSV format"
Typical architecture
Your Data→Sanitize→AI API→Forecast / Alerts

This applies to ALL levels — skip it and Security will stop you

The rule is the same whether you're pasting into ChatGPT or running a custom app: AI sees patterns, not identities.

Stays local — never sent
  • Company names
  • Bank account numbers (IBAN)
  • Counterparty identities
  • Employee / user data
  • Credit facility details
  • Raw transaction files
Sent to AI — anonymized
  • "Entity_A", "Entity_B"
  • Aggregated amounts
  • Generic categories (payroll, tax)
  • Date patterns (relative)
  • Currency codes (EUR, USD)
  • Numerical thresholds

Rule: AI sees patterns, not identities. This is non-negotiable — at Level 1 as much as Level 3.

Pick your starting point based on your situation

I want to explore
  1. 1. Export 1 month of transactions to CSV
  2. 2. Open ChatGPT or Claude
  3. 3. Upload file + ask: "Categorize and find patterns"
  4. 4. See what you get
I want a reusable tool
  1. 1. Create a Custom GPT with treasury instructions
  2. 2. Define your output format (table, categories)
  3. 3. Test with real data
  4. 4. Refine prompts until consistent
I need a real solution
  1. 1. Document your use case (input, output, frequency)
  2. 2. Talk to IT about approved AI endpoints
  3. 3. Find internal developer or vendor
  4. 4. Start with MVP, not perfect
Tip

Start with Level 1 even if you need Level 3. You'll learn what works before investing.

✓ Course complete

Key takeaways

Every AI tool is INPUT → PROCESS → OUTPUT. Start by defining input and output.

You don't need to code. Level 1 (ChatGPT) works for exploration. Level 2 (prompts) for consistency.

Sanitization is mandatory. Strip identities before any data leaves your control.

Start small, learn fast. One use case, one month of data, one afternoon.

AI in treasury is not about replacing you. It's about removing the manual work so you can focus on decisions.

Next step · Course

AI Agents for Treasury

What Level 3 looks like once it's fully built — architecture, stack, and a traced example.

Next step · Course

AI in Treasury: Separating Real from Marketing

The vocabulary and vendor scorecard to evaluate any AI claim.

Built by a treasurer, for treasurers. · treasuryease.com