We identify, design, and implement automation solutions for enterprise organizations in Saudi Arabia — eliminating the manual processes that consume senior time in finance and operations, and replacing them with governed, reliable automation built for the Kingdom's specific environment.
Start a conversation →Identification and automation of high-impact finance processes in Saudi enterprises — recurring journal posting, bank statement matching, intercompany reconciliation, and management reporting assembly — freeing senior finance team capacity for analysis rather than data preparation.
Automation of ZATCA e-invoice processing, Arabic-language invoice data extraction, and VAT reconciliation workflows — handling the Arabic character set, right-to-left text structure, and mixed-language content that Saudi regulatory documents require.
Integration between Oracle, SAP, and local ERP environments across Saudi group structures — so data moves between systems automatically, accurately, and without manual intervention at period end or budget cycle.
AI-powered workflow automation for Saudi enterprises — including Arabic-language document understanding, approval routing, exception escalation, and the multi-step process orchestration that goes beyond simple rule-based automation.
A structured assessment of your Saudi organization's highest-impact automation opportunities — identifying which processes to automate first, what the investment case looks like, and what governance framework is needed before automation goes live.
Saudi Arabia's Vision 2030 programme has accelerated digital transformation ambitions across government-linked enterprises and large private sector groups — but the most impactful automation opportunities are not in transformation programmes. They are in the finance and operations processes that have been manual for years: month-end journal posting, intercompany reconciliation, ZATCA invoice processing, management reporting assembly, and budget consolidation. These processes exist in every large Saudi organization and are fully automatable with current technology. The additional layer of Arabic-language document processing — invoices, contracts, approvals, and regulatory submissions in Arabic — adds a complexity dimension that requires specific capability to address correctly.
Vision 2030 has created broad digital transformation ambitions across Saudi enterprises. The highest-return automation investments are not in large transformation programmes — they are in the manual finance and operations processes that consume organizational capacity every month. We start there.
Saudi enterprises process large volumes of Arabic-language documents — invoices, purchase orders, contracts, and regulatory submissions. Automating the data extraction and processing of these documents requires Arabic NLP capability and specific preprocessing for right-to-left text — not a standard OCR tool.
ZATCA's e-invoicing requirements (Fatoorah Phase 2) have created new invoice processing workflows that are manual in most Saudi organizations. Automating ZATCA-compliant invoice ingestion, validation, and reconciliation removes a significant source of manual effort from finance teams.
Saudi group structures with multiple subsidiaries typically have manual processes at every inter-entity boundary — intercompany invoicing, transfer pricing calculations, and consolidation adjustments. Automating these boundary processes delivers disproportionate efficiency gains relative to their effort cost.
Working in Saudi Arabia?
Tell us about your challenge. We work with organisations across Saudi Arabia and the wider Gulf.