Specialist
Provides permitted data, reviews the suggestion, corrects it and makes the final decision.
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Specialist assistant
Qayta AI
Classification, data extraction and checks with a mandatory human decision.
- Environmental specialists
- Operators and analysts
- Impact-assessment and reporting teams
Platform role
One module in an end-to-end process
Qayta AI is designed to help specialists classify materials, extract fields and identify inconsistencies. The model provides a suggestion and confidence score; correction, decision and accountability remain with a person.
Specialists spend time on initial classification and document entry, while accountable decisions still require professional judgement.
Participants
Who does what
Process owner
Defines allowed use cases, confidence thresholds and mandatory checks.
IT and security team
Approves model placement, access, logging and data handling.
Capabilities
What the operating layer covers
Suggestions
Proposes classification options from available descriptions or images.
Extraction
Recognises document fields for subsequent specialist review.
Controlled result
Stores the suggestion and confidence; a person always approves the outcome.
Workflow
How the workflow runs
- 01
Provide
A user supplies a description, image or document within the approved process.
- 02
Suggest
The model proposes a result and indicates confidence.
- 03
Approve
A specialist reviews, corrects and decides.
Data and control
Inputs, outputs and human control
Inputs
- description, image or document
- reference and process context
- acceptable-use rules
Outputs
- classification option or extracted fields
- review observations
- confidence and human-decision record
Controls
- human-in-the-loop
- data and access boundaries
- quality evaluation and error review
Integrations
Integration scope made explicit
The label shows the maturity of the public claim. Final scope is always agreed after discovery.
Waste classification
Planned capabilityA planned suggestion from a description or image, always subject to review.
Document OCR
Planned capabilityPlanned field extraction for subsequent specialist reconciliation.
Compliance and impact assessment
Planned capabilityPlanned preparation support without autonomous accountable decisions.
Implementation
Boundaries are agreed before the pilot
A pilot defines permitted data, model placement, a control dataset, quality measures, thresholds and exception handling. AI is not legal or environmental advice.
Expected outcome: Routine preparation is assisted without delegating accountable decisions to a model.
FAQ
Common questions
Does AI assign a waste code on its own?
No. It can suggest an option, while a specialist checks the context and approves the result.
Are documents sent to an external AI service?
Architecture and data boundaries are defined by the project; external transfer is not assumed.
Can automatic approval be enabled?
Not in this public scope: professionally or legally significant outcomes require a human decision.