Document-to-workflow
Extract structured information from complex documents and move it into an approval or system-update path.
- OCR and extraction
- Validation rules
- Human approval
Use cases
Where Cloudilic turns AI into measurable operational work.
Use cases start with repeatable work: documents to read, requirements to check, knowledge to retrieve, approvals to route, and systems to update. Cloudilic packages those patterns into secure workflows teams can run and improve.
- Docs
- forms, scans, tenders, contracts, reports
- Agents
- for research, drafting, checking, routing
- Systems
- connected through APIs and enterprise tools
What this covers
The use cases we see most often.
Tender and proposal automation
Analyze RFPs, build compliance matrices, retrieve company knowledge, and coordinate technical/commercial teams.
- RFP analysis
- Proposal drafting
- Progress tracking
Knowledge-grounded assistants
Support teams with source-grounded answers from policies, reports, contracts, and operational knowledge.
- RAG
- Enterprise search
- Arabic and English knowledge
How it moves
How a use case becomes a system.
The best starting point has a clear owner, visible manual effort, available source data, and a decision point where accuracy matters.
- 01Choose use case
- 02Define source data
- 03Prototype workflow
- 04Add controls
- 05Connect systems
- 06Scale by team
Next step
Bring one use case.
We can help decide whether it belongs in Dragify, BidUp, or a custom Cloudilic implementation.