Robotic Process Automation
A structured way to find, build, and run automations. Throughput rises, errors fall, and teams focus on higher-value work.
Why it matters
RPA can remove manual, repetitive work across finance, HR, customer care, and operations. Programs that succeed use a center-of-excellence (CoE) model with standards, controls, and a clear pipeline. So automation scales safely and delivers measurable outcomes. In Saudi Arabia, automations that touch government or personal data should reflect SDAIA/NDMO policies and standards for data management and protection (controls, classification, sharing). Aligning bot design and logs to these standards strengthens compliance and audit readiness.
How the RPA program is built
What you get
Automation pipeline & business cases prioritized by impact and feasibility.
Design kit & standards for stable, supportable bots (patterns, error handling, credentials).
Governance model (CoE) with intake, reviews, change control, and an automation catalog.
Operational runbook (scheduling, monitoring, incident response) and KPI dashboard.
Data-handling controls aligned to SDAIA and NDMO standards (classification, logging, retention).
Value tracking: throughput saved, error reduction, cycle-time improvement, and ROI.