Document intake
Collect invoices and supporting documents from email, uploads, shared storage, APIs, or other approved channels.
Invoice and accounts payable automation
Process invoices faster without weakening financial controls
We build AI-assisted invoice workflows that capture data, check documents, route approvals, handle exceptions, and connect with your finance systems—with people kept in control where judgement is required.
01Human-reviewed exceptions
02ERP and accounting integration
03Traceable processing decisions
The business case
Manual invoice work creates cost and control problems
The expensive part is rarely reading one invoice. It is the repeated capture, checking, matching, chasing, correcting, approving, and system entry across thousands of documents.
- 01
Finance teams retype supplier, tax, line-item, purchase-order, and payment information from inconsistent document formats.
- 02
Missing information, duplicates, mismatches, and approval delays create backlogs that are difficult to track and prioritise.
- 03
Basic OCR captures text but does not reliably apply business rules, assemble context, manage exceptions, or complete downstream workflow steps.
What you receive
An invoice workflow designed around your controls
The solution is shaped around the documents, systems, rules, volumes, approval limits, and audit requirements already present in your finance operation.
Intelligent extraction
Extract supplier, invoice, tax, line-item, purchase-order, banking, and total fields from varied layouts.
Validation and matching
Apply required-field checks, duplicate detection, calculations, supplier rules, and two- or three-way matching where applicable.
Approval routing
Route invoices according to entities, cost centres, amounts, exceptions, approvers, and escalation rules.
Systems integration
Prepare or create records in accounting, ERP, procurement, document-management, and reporting systems.
Monitoring and audit trail
Track processing status, confidence, exceptions, user actions, failures, throughput, and operational outcomes.
How it works
A practical path to a measurable result.
Map the current invoice flow
Document sources, formats, volumes, controls, systems, approval rules, exceptions, and baseline processing performance.
Design the controlled workflow
Define extraction fields, validation rules, confidence thresholds, human reviews, integrations, and success measures.
Pilot with real documents
Test against representative invoices and edge cases, measure accuracy, and refine rules with finance users.
Deploy and improve
Launch with monitoring, exception queues, auditability, support, and ongoing measurement of quality and cycle time.
Frequently asked questions
Questions before you start.
What can AI invoice processing automate?
AI can extract invoice fields, classify documents, validate suppliers and totals, identify duplicates, match invoices to supporting records, route approvals, prepare ERP entries, and send uncertain cases to the appropriate reviewer.
Can the system work with our accounting or ERP software?
Usually, yes. We assess available APIs, import formats, database access, approval rules, and security requirements before designing the integration. The exact approach depends on the systems you use.
How are exceptions and low-confidence results handled?
We define confidence thresholds and business rules so ambiguous fields, mismatches, duplicate risks, or policy exceptions are routed to a human reviewer with the relevant context.
Can you automate high-volume invoice workflows?
Yes. Sulta Tech has built high-volume billing and invoice automation. We design for throughput, traceability, retries, exception handling, monitoring, and the operational controls required at scale.
Start with clarity