How does AI help approve farm tasks?
AI reviews evidence completeness and flags proof gaps such as missing images, location mismatch, unusual timing, duplicate-looking records, or weak task context.

farm work verification
ShambaBoy helps supervisors approve work from evidence. Proof checks highlight incomplete records, while managers keep control of acceptance, rejection, and escalation.
AI pre-checks task evidence before supervisor review
Approve, reject, or request better proof with reasons recorded
Approved records support payroll, compliance, and reporting workflows
Proof workflow
Evidence is the trust layer. ShambaBoy checks proof quality, flags gaps, and helps supervisors approve only the work that has proof behind it.
Worker submits task evidence from the field.
AI reviews proof completeness and flags anomalies.
Supervisor inspects the evidence and decision context.
Task is approved, rejected, or returned for better proof.
The final approval record becomes part of the farm audit trail.
AI pre-check
Evidence quality
Supervisor decision
Rejection reason
Approval timestamp
Audit trail
AI reviews evidence completeness and flags proof gaps such as missing images, location mismatch, unusual timing, duplicate-looking records, or weak task context.
Supervisors remain in control. ShambaBoy uses AI to assist evidence review, then managers approve, reject, or request better proof.
The approved task becomes a verified record that can feed dashboards, payroll review, compliance reports, owner updates, and operational audits.