AI & Data Management
Data becomes useful when it is governed, reliable, and operationalized, for analytics, automation, and AI. This section brings those pieces together: a practical data foundation, governed automation (RPA and AI), and BI that leaders trust. For Saudi entities, practices align to SDAIA/NDMO data standards.
What we deliver
- Trusted data layer: Catalog, ownership, classification, quality, lifecycle, and recovery. So, analytics and AI run on reliable, secure data.
- Automation with guardrails: Tool-agnostic RPA and AI automations designed with controls, monitoring, and a simple CoE model.
- Decision-grade dashboards: Consistent KPIs, semantic models, and visual standards with governed self-service.
- Evidence and adoption: Clear owners, logs, and KPIs; runbooks and templates that make improvements stick.
Our services
- Data Management: Build a practical data foundation: catalog & glossary, sensitive-data classification and access, quality controls, master/reference data, lifecycle/backup, and auditable trails.
- Robotic process automation: Stand up a pipeline-to-run lifecycle with design standards, access controls mapped to NDMO, monitoring, and a lightweight CoE for scaling.
- AI AUTOMATION: Select high-value use cases and implement patterns with human-in-the-loop, evaluation, and risk management aligned to SDAIA/NDMO.
- Business intelligence and dashboards: Define KPIs, model data consistently, apply visual and platform, and enable governed self-service.
Why clients choose us
- Outcome-first, control-aware: Every initiative ties to KPIs/OKRs and includes access, logging, and retention aligned to SDAIA/NDMO.
- Lean, reusable approach: Shared datasets, automation components, and dashboard templates reduce time-to-value and rework.
- End-to-end coherence: Data, automation, and BI operate as one system; monitoring and usage metrics feed continuous improvement.