Why it matters
Without it, mismanaged records and unsafe practices lead to nonconformances, delayed certifications, and product recalls; gaps in hazard controls, prerequisite programmes, and traceability undermine trust and market access.
From design to safety
Design
AI models shape safety design
The system reads hazard analyses, prerequisite programmes, and record templates to define data fields, control limits, and audit trails for ISO 22000 alignment.
- pH Sensor Kit
- Hazard Analysis Data Model
- PRP Documentation Library
Build
Data capture systems installed
Sensors, loggers, and digital forms are installed in leaf reception, wash, withering, and drying areas to start continuous recording and automated checks.
- Moisture Meter (leaf reception)
- Temperature Data Logger (withering)
- Drying Kiln Controller
Operation
Real-time safety governance
Operational readings drive real-time decisions on process deviations, HACCP-like alerts, and automatic record creation for traceability and future audits.
- PH Sensor (wash water)
- Fermentation Vessel Lamp Sensor
- Sorting Conveyor Scale
Maintenance
Records kept through upkeep
Maintenance checks verify calibration, preventive maintenance, calibration certificates, and updated SOPs are linked to the operational records and audit files.
- Moisture Meter Calibration
- Temperature Sensor Calibration
- Drying Kiln Maintenance Log
Safety
Certification-ready safety management
The system enforces food safety residues, worker safety, food defense, and QA approvals; signs off by qualified personnel before shipment or certification audits.
- Thermal Data Logger (safety)
- Pesticide Residue Detector
- QA Sign-off Terminal
Part by part
- 1
Moisture Meter (leaf reception)
- Watch for
- Early moisture spikes or uneven leaf moisture that indicate improper handling or transport wear.
- AI action
- Trigger alert if leaf moisture variance exceeds threshold and flag batch for re-drying or retasting.
- 2
PH Sensor in wash water
- Watch for
- Drift in wash water pH affecting microbial control and enzyme activity.
- AI action
- Auto-adjust wash water chemistry controller and log corrective actions.
- 3
Temperature Data Logger in withering chamber
- Watch for
- Wither rate drift, uneven airflow, or temperature breach.
- AI action
- Issue humidistat/airflow alarm and record corrective airflow or temp setpoint changes.
- 4
Fermentation Vessel lid sensor
- Watch for
- Unmonitored vessel closure or temperature change during fermentation.
- AI action
- Record lid status and regulate fermentation duration via smart timer.
- 5
Drying Kiln Temperature Controller
- Watch for
- Uneven drying temperatures or excursions beyond target curve.
- AI action
- Modulate heater setpoints and fan speeds; generate drying curve record.
- 6
Sorting Conveyor Scale
- Watch for
- Inaccurate weights causing misgrading and mis-sort
- AI action
- Validate scale calibration and push mispackaged lots to secondary check.
Worked example
Catching a seal leak before a charter
Illustrative scenario with sample data.
A seal leak on the drying kiln cabinet risks moisture deviations and potential safety nonconformance.
Signal in
batchID=DKL-742; kilnTemp=88C; RH=25%; sealStatus=leaking; operatorID=OP-209; timestamp=2026-11-07T08:12:00Z; batchOrigin=Garden Estate; lotSize=1.25 t; product=OC Orthodox; operatorShift=Day
System out
Alert generated: 'Drying kiln seal leak; batch DKL-742 require seal replacement and retesting; record ID FS-AL-1324 created; QA sign-off pending; retest plan attached.'
Human sign-off: Factory manager reviews alert, assigns maintenance to replace seal, approves retest plan, QA signs off the audit trail, and enters retrial parameters before next shipment.
How to roll it out
Phase 1
Weeks 1 to 4
Baseline data capture is established; key hazards defined; PRP templates loaded; initial calibration and SOP alignment completed; initial audit checklists prepared for early trials.
Phase 2
Weeks 5 to 12
Sensor commissioning completed; automated alerts activated; initial internal audits test record completeness, traceability, and corrective action filing; training completed for QA staff and line supervisors.
Phase 3
Weeks 13 to 20
Full integration with supplier records and certificate matching; serial trace links established; continuous improvement loop documented and reviewed by HACCP lead and QA manager.
Where people stay in charge
- All safety-critical decisions must be approved by a qualified HACCP lead or certified QA manager.
- No changes to control limits, critical limits, or hazard definitions without certification body approval and documented rationale.
- Records must be immutable once saved and audit trails preserved for regulatory reviews.
Questions owners and crews ask
What is ISO 22000 in a tea factory and how do AI records help?
ISO 22000 sets food safety management requirements; AI automates data capture, monitoring, and traceability, producing audit-ready records and faster anomaly detection.
Which records must be kept for ISO 22000 in tea processing?
Records include hazard analyses, prerequisite programme documents, calibration logs, monitoring sheets, corrective actions, training, and product traceability data.
How does AI help with HACCP in tea factories?
AI monitors critical control points, flags deviations, automates alerting, and maintains linked evidence to support corrective actions and verification.
Who validates the safety records before certification audits?
A qualified HACCP lead, QA manager, and the certification auditor jointly review and sign-off the records and actions.