AI-Integrated Financial Intelligence & Accounting Module

AI-Powered Accounting & Financial Intelligence Module (IFRS-Compliant, Multi-Entity, Project-Based)
Project Overview
We are building an advanced internal financial system on top of an existing FastAPI + PostgreSQL backend.
We are looking for a senior backend engineer or small experienced team to design and implement a structured, AI-assisted accounting engine with OCR, reconciliation, and full financial statement generation.
This is not a basic bookkeeping tool.
It is a structured financial intelligence module integrated into a broader AI architecture.
Budget & Timeline

Delivery Deadline: 6 weeks from project start
Milestone-based payments
Serious candidates only. Architecture quality matters.
Scope of Work
1. OCR & Document Processing
Ingest PDFs, images, bank statements, invoices.
Extract structured financial data (date, counterparty, amount, tax info, references).
Store metadata and link to accounting entries.
Flag low-confidence extractions.
Support English and Spanish documents.
2. Automated Double-Entry Accounting Engine
Full double-entry bookkeeping logic.
Versioned rule-based classification system.
Automatic journal entry generation.
Manual override with audit trail.
Prevent unbalanced entries.
Allow recalculation if rules are updated.
Core components:
Chart of Accounts (aligned with IFRS)
Bank transactions
Journal entries and lines
Accounting rules (versioned)
Audit logs
3. IFRS-Compliant Financial Statements
The system must generate:
Balance Sheet
Income Statement
Cash Flow Statement (Direct and Indirect)
Statement of Changes in Equity
Must support:
Multi-entity
Multi-project
Multi-currency
Monthly and annual reporting
Reproducible financial snapshots
4. Project-Based Accounting
Every transaction must be allocatable to a project.
Project-level P&L and cash flow.
Revenue recognition logic configurable.
AI-assisted classification when ambiguous.
5. Related Parties & Intercompany Logic
Structured handling of related-party transactions.
Due-to / due-from entries.
Internal service billing logic.
Cross-entity cost allocations.
Intercompany reconciliation.
No personal data hardcoded — fully entity-based structure.
6. Reconciliation Engine
Bank reconciliation
Invoice reconciliation
Intercompany reconciliation
Adjustment proposals
Full reconciliation history
7. AI Integration
AI must assist with:
OCR validation
Transaction classification fallback
Anomaly detection
Pattern recognition
AI must not replace accounting logic.
All AI outputs must be logged and reviewable.
Technical Requirements
Python (FastAPI compatible)
PostgreSQL
Clean database architecture
Alembic migrations
Modular design
API-first structure
Future integration readiness (CRM, BI, banking APIs)
Architecture must be clean, extensible, and integration-friendly.
Deliverables
Full database schema
Accounting engine implementation
OCR integration
Rule engine
Reconciliation module
Financial statement generator
AI integration layer
Documentation
Deployment guide
Basic test coverage