Capability
AI Financial Systems
Financial forecasting, fraud and risk scoring, automated accounting and decision support for finance functions. Models are explainable and auditable, and integrate with existing accounting, ERP and risk systems.
AI for finance functions has to be explainable and auditable, and has to fit into the accounting, ERP and risk systems you already run.
01Architecture
Reference architecture
A typical arrangement of the components. Every implementation is adapted to your systems, data-residency and security requirements.
Finance data
- ERP and ledgerAPI
- Transactions and payments
- Planning and market data
Data models
- Finance data martsdbt · Snowflake
Models
- ForecastingProphet · LightGBM
- Risk and anomaly scoringXGBoost
Finance workflows
- Treasury and planning views
- Review and case queues
02Components
What this capability covers
01
Forecasting
Cash-flow, revenue and demand forecasting with scenario modelling.
02
Fraud and risk
Real-time scoring with rules and machine learning, and review queues for people.
03
Accounting automation
Invoice capture, reconciliation and posting with audit trails.
04
Decision intelligence
Pricing, credit and treasury decisions supported by transparent models.
03Implementation
How we implement it
Finance teams need to explain every number, so we favour models whose drivers can be shown and challenged, and keep a record of the data, assumptions and model version behind each forecast or score.
- Forecasts are back-tested on your own history before they are used.
- Scores reach review queues with reasons, not just a number.
- Integration posts only through controlled, reversible steps.
04Deliverables
What you receive
Data and controls review
Back-tested forecasting or scoring models
Explainability and audit records
Integration with finance workflows
Technology
Technologies we work with
- Python
- Prophet
- XGBoost
- LightGBM
- dbt
- Snowflake
- Postgres
- FastAPI
Chosen per project and aligned with your existing standards. Listed as technologies we use, not as partnerships or endorsements.
05Use cases
Typical applications
Patterns this capability is designed for, not a list of delivered projects.
01
Cash-flow forecasting
Daily forward views with scenarios for treasury and financial planning.
02
Transaction monitoring
Streaming fraud and anomaly scoring with case management.
03
Automated bookkeeping
Document capture and ledger posting with reviewer workflows.
06Related
Where to go next
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Next step
Scope AI Financial Systems for your organisation
Share your process, data and constraints. We will propose an approach, the evidence to collect first and a realistic plan.