Before
- Documents arrive in inconsistent formats
- Staff manually extract or compare fields
- Review queues lack prioritization
- Information is re-entered into systems
Solution
Document Intelligence
Document-heavy processes require people to extract, compare, classify and review information that software can often assist with.
PlanckCyber builds intelligent document systems for extraction, classification, comparison, search and workflow routing. Solutions are designed around the actual document types, required fields, review thresholds and downstream systems rather than a generic OCR or chatbot layer.
Workflow Change
Before and after.
After
- Documents are ingested and classified
- Relevant information is extracted with validation
- Differences or exceptions are highlighted
- Approved outputs flow into downstream workflows
System Components
What the solution may include.
- Ingestion pipeline
- Document parsing/extraction
- LLM or vision processing where appropriate
- Validation and review UI
- Downstream integration
Integrations
Connect to the systems that matter.
- Document stores
- Email/intake portals
- ERP/CRM/case systems
- Data warehouse
Measure Success
Define evidence before scaling.
- Processing time
- Field extraction quality
- Review rate
- Exception detection
- Rework
Constraints
What must be controlled.
- Quality varies by document type
- High-stakes fields may require deterministic validation or human review
- Data retention and confidentiality must be designed deliberately
FAQ
Specific buyer questions.
Is document intelligence just OCR?
No. OCR can be one input. Document intelligence can also classify content, extract structured information, compare documents, retrieve relevant passages and route work based on the result.
Can reviewers stay in the loop?
Yes. Review thresholds and exception queues can be designed so people approve or correct uncertain outputs.
Primary capability: Data & Knowledge Intelligence
Start with the problem
Have a problem AI might solve?
You do not need a specification. Tell us what you are trying to improve.