Service
Enterprise automation
Document and process automation inside existing systems
Siyada Tech automates document-heavy and rule-heavy enterprise processes in Saudi organisations. We combine extraction, classification, validation and workflow integration so a process runs end to end inside existing systems, with exceptions routed to people and every step logged for audit.
Last reviewed: — Siyada Tech engineering
What it is
Delivery of automation for processes where documents and judgement meet: intake, extraction, validation against business rules, system update, and exception handling — built into the systems the organisation already runs.
The problem it solves
Work stalls in inboxes and spreadsheets. Documents arrive in Arabic and English, in mixed formats, and people re-key the same data into three systems while exceptions get lost.
Who it is for
- Finance, HR and shared services with high document volume
- Government service delivery with Arabic form and document intake
- Operations teams where staff re-key data between systems
How it works
- 01Baseline the current process: volume, cycle time, error and exception rates.
- 02Automate intake and extraction across Arabic and English documents.
- 03Validate against business rules and existing master data.
- 04Write results into the systems of record; route exceptions with context.
- 05Monitor throughput and error rate after go-live against the baseline.
Deployment
- In-tenant or on-premises depending on system location
- Integration with ERP, HRIS, DMS and ticketing platforms
- Service accounts with least-privilege access per system
- Runbooks and monitoring handed to an internal owner
Security & compliance
- Documents and extracted data stay inside the customer's environment
- PDPL and NDMO-aligned handling of personal data in documents
- Per-step audit log for reconstruction and compliance review
- Segregation of duties preserved in automated approvals
Evidence
We publish a metric only with its definition, method, sample size and evaluation date. Anything not yet measured to that standard is marked below rather than claimed.
| Metric | Definition | Method | Sample size | Evaluated | Limitations |
|---|---|---|---|---|---|
| Time from kickoff to production | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] |
| Task success rate in production | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] |
| Human-review escalation rate | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] | [EVIDENCE REQUIRED] |
Limitations & what it does not do
- A process must be defined before it can be automated; undocumented processes need mapping first.
- Automation shifts effort to exception handling rather than removing it entirely.
- Systems without APIs may require workarounds that add fragility.