Capability 06 · Operations
Documents and processes that run end to end
Enterprise automation
Stop re-keying the same data into three systems.
In one paragraph
Siyada Tech automates document-heavy and rule-heavy processes in Saudi organisations. We combine extraction, classification, validation and integration so a process runs end to end inside existing systems, with exceptions routed to people and every step logged for audit.
- Extraction and validation
- Exception routing
- Per-step audit log
01What it is
Automation for processes where documents and judgement meet: intake, extraction, validation against business rules, updates to the system of record, and exception handling, built into the systems the organisation already runs.
02Who it is for
- Finance, HR and shared services with high document volume
- Government service delivery built on Arabic forms and documents
- Operations teams whose staff re-key data between systems
03The problem
Work stalls in inboxes and spreadsheets. Documents arrive in Arabic and English and in mixed formats, people re-key the same data into three systems, and the exceptions get lost between them.
04How it works
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01
Baseline the process as it runs today
Volume, cycle time, error and exception rates.
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02
Automate intake and extraction across Arabic and English documents.
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03
Validate against business rules and existing master data.
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04
Write results into the systems of record, and route exceptions to people with their context.
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05
Monitor throughput and error rate after go-live, against the baseline.
05Where it runs
- In the client's tenant or on premises, depending on where the systems live
- Integrated with ERP, HR, document management and ticketing platforms
- Service accounts with least-privilege access per system
- Runbooks and monitoring handed to an internal owner
06Security and data
- Documents and extracted data stay inside the client's environment
- Personal data in documents handled to PDPL and NDMO practice
- A per-step audit log for reconstruction and compliance review
- Segregation of duties preserved in automated approvals
07Evidence
What we measure here. Results are published once each one has a stated method, sample size and evaluation date. How we publish evidence
- Cycle time, before and after
- Error rate, before and after
- Exception rate after go-live
08What it is not
- A process has to be defined before it can be automated; an undocumented one is mapped first.
- Automation moves effort to exception handling rather than removing it.
- Systems without APIs may need workarounds that add fragility.
?Asked often
Questions
What can be automated?
Processes with defined rules and structured or semi-structured document inputs: intake, extraction, validation, system updates and exception routing.
Does it work with Arabic documents?
Yes. Extraction and classification are built for Arabic as well as English, including mixed-language forms.
Will it replace staff?
It removes re-keying and routing work. Judgement and exception handling stay with people.
How do you prove it worked?
We baseline the process before automating it, then compare cycle time, error rate and exception rate after go-live.
How do we start?
Pick the process that consumes the most hours. We baseline it and scope what automation would change.
Baseline one process
We measure the process as it runs today, then scope what automation would actually change.
Last reviewed · Siyada Tech engineering