Public administration · Transport and logistics · Public safety
Digital checkpoint
Digital document and request processing at control points with completeness checks.
Value proposition
Documents are checked against one checklist, discrepancies are caught at intake and the applicant sees the status without visiting in person.
Challenge
Document checks are manual, criteria are interpreted differently and the applicant learns about a missing document too late.
Who it is for
- Control and supervisory units
- Intake point operators
- Applicants — organisations and citizens
Digital core
- Request intake and registration
- Document recognition and parsing
- Completeness checklists
- Routing by request type
- Applicant statuses and notifications
- Verification log
Functional modules
- Document upload
- OCR and field extraction
- Completeness verification
- Discrepancy detection
- Routing and review
- Applicant notification
Architecture
- 01
Channels
- Applicant web account
- Operator workplace
- Mobile document upload
- Notifications
- 02
Business logic
- Request types and checklists
- Validation rules
- Review routes
- Deadlines and SLA
- 03
AI layer
- Document AI Agent
- Document OCR
- Data cross-check
- Draft conclusion
- 04
Data
- Request registry
- Electronic document archive
- Verification history
- Requirement reference data
TEQ Intelligence Layer
AI Intelligence Layer
- Document OCRAI module available
- Completeness verificationAI module available
- Discrepancy detectionAI module available
- Request routingAI module available
- Status notificationsImplemented
- Document AI AgentAI module available
The AI modules are built and connect to the solutions. They are not yet running in production at client sites — they are available for a pilot or a deployment project.
Pluggable agents
Document AI Agent
AI module availableRecognises documents, checks completeness, detects discrepancies and prepares a routing card.
- OCR and field extraction
- Checklist validation
- Registry cross-check
- Request routing
Approval or rejection is decided by an authorised employee. The agent records the basis of every check.
Workflow AI Agent
AI-readyMonitors process flow: deadlines, owners, deviations and reminder preparation.
- Deadline control
- Deviation detection
- Reminder generation
- Escalation
Process status changes happen only through permitted, logged operations.
How it works
A typical scenario: from event to confirmed result.
- 11The applicant uploads a document package.
- 22The agent recognises the documents and matches them against the requirement checklist.
- 33Missing or non-compliant documents are flagged with an explanation.
- 44The operator reviews the agent's conclusion and makes the decision.
- 55The applicant is notified of the status and the list of remarks.
Integrations
- Government registries and reference data (per regulation)
- Document management systems
- Notification systems
- Document storage perimeter
Security
- Protection of applicants' personal data
- Access control over documents
- Audit logging of checks and decisions
- Storage in a secured perimeter
The human role
AI checks the documents and prepares a conclusion. The decision on the request is made by an authorised employee.
In government, financial and security-related processes the final decision is confirmed by an authorised employee. AI analyses the data and prepares a recommendation.
Discuss deploying this solution
Describe the target perimeter — we will propose a survey, a pilot or a full project.
