Treasury Technology Landscape
Treasury technology essentials — the map, not the deep dive
One bird's-eye tour across the whole stack: how systems fit together, how you connect to banks, the data formats you'll actually see, where AI and RPA genuinely help, and the skills that get you from foundation to advanced.
- → Place any treasury tool — TMS, ERP, BI, RPA — into the right layer of the stack
- → Recognize the bank statement and payment formats you'll actually run into (MT940, CAMT.053, PAIN.001…)
- → Name the treasury AI use cases that are mature today vs. still emerging
- → Know which technical skills to build first, and which can wait
Alina | TreasuryOS · treasuryease.com
Treasury Technology Landscape
No single system does everything — success depends on how well systems communicate with each other.
- Treasury Management Systems (TMS)
- Enterprise Resource Planning (ERP)
- Banking Portals
- SWIFT Network
- Host-to-Host (H2H)
- API Platforms
- EBICS / SFTP
- Cash Forecasting
- FX Trading Platforms
- Payment Hubs
- Reconciliation Tools
- Business Intelligence
- Data Warehouses
- Visualization Tools
- AI/ML Platforms
No single system does everything — success depends on how well systems communicate with each other.
Bank Connectivity & Integration
How treasury systems communicate with banks.
Global messaging network. MT (legacy) → MX/ISO 20022 (modern). Payments, confirmations, statements.
Large corporates, global ops
Direct connection via SFTP/VPN. Proprietary formats. Bank-specific setup.
High-volume, established banks
European Banking standard. Secure file transfer. DE, FR, AT, CH focused.
European operations
Real-time via REST/JSON. Instant balances, payments. Webhooks for notifications.
New implementations, fintech
Web-based access. Manual but universal. Often used as backup.
Small ops, backup access
Want the full comparison — setup time, cost, complexity? See the Bank Connectivity mini-course →
Data Formats & Standards
The language treasury systems speak.
ISO 20022 → The future standard. SWIFT migrating all traffic. Richer data, better STP, improved compliance.
AI & Machine Learning in Treasury
Where AI is already delivering, and where it's still emerging.
Problem: Manual forecasts: 60-70% accuracy
Solution: ML learns patterns, seasonality, payment terms
Result: 85-95% accuracy, daily automated updates
Problem: Fraud/errors caught too late
Solution: AI monitors transactions vs baseline
Result: Real-time alerts, fewer false positives
Problem: Matching across systems is tedious
Solution: ML learns matching rules from corrections
Result: 90%+ auto-match rate
Problem: Reports require IT/technical skills
Solution: AI assistants understand plain language
Result: "What's our EUR position?" → instant answer
Key Enabler: Clean, structured data is the foundation of any AI initiative in treasury.
RPA Use Cases in Treasury
Automate repetitive tasks — bots follow rules 24/7 without errors.
Bot logs into portals, downloads statements, saves to folder. Daily at 6 AM.
Saves: 2-3 hrs/day
Pulls from multiple sources, populates Excel, emails to management.
Saves: 1-2 hrs/day
Extracts from ERP, formats to PAIN.001, uploads to banking portal.
Saves: 1 hr/day
Compares IC balances, flags mismatches, creates adjustment entries.
Saves: 5+ hrs/month
Downloads account analysis, extracts fees into database for trending.
Saves: 4 hrs/month
Gathers docs from systems, compiles into bank submission package.
Saves: 8+ hrs/request
API Use Cases in Treasury
Real-time connectivity — instant data without file transfers or portal logins.
Query balance instantly instead of waiting for end-of-day statement.
Verify beneficiary details before sending. Reduce failed transfers.
Real-time rates for accurate positions and trade execution.
Submit payments via API, receive immediate confirmation.
Bank pushes notifications as transactions happen.
Single call returns balances across all connected banks.
Technical Skills Required
You don't need all advanced skills to start. Focus on foundations first and build progressively.
- Advanced Excel (pivots, macros)
- Database concepts (SQL basics)
- Understanding APIs
- Data visualization (Power BI)
- Process mapping
- SQL querying & data manipulation
- Python or R for data analysis
- ERP navigation (SAP, Oracle)
- TMS administration & config
- RPA development
- System integration architecture
- API development & management
- Machine learning concepts
- Process automation (scripting)
- Cloud infrastructure basics
You don't need all advanced skills to start. Focus on foundations first and build progressively.
What you know now
The treasury tech stack felt like an undifferentiated pile of tools
→ You can sort any tool into Core Systems, Connectivity, Specialized Tools, or Data & Analytics
MT940, CAMT.053, PAIN.001 were just letters and numbers
→ You know which is a statement, which is a payment instruction, and which standard is replacing which
"AI in treasury" sounded like a single, vague promise
→ You can name what's mature (forecasting, anomaly detection) vs. still emerging (natural language queries)
Building technical skills felt like an all-or-nothing, advanced-degree problem
→ You have a foundation → intermediate → advanced path, and know you don't need the whole ladder to start
Bank Connectivity: The Hybrid Treasurer's Toolkit
SWIFT, H2H/SFTP, EBICS, bank APIs, and multi-bank aggregators — the deep dive on the connectivity layer.
Next step · CourseFrom Bank Statement to Cash Position
Put the MT940/CAMT.053 formats you just learned to work in a real Power Query + Excel pipeline.
Want the in-depth version? Treasury Technology & Systems covers the same ground across six full modules, with case studies, exercises and templates.
Built by a treasurer, for treasurers. · treasuryease.com