AgriWebb has launched an AI-powered Farm Diary for South African livestock users that converts typed or dictated notes into draft farm records. The feature could reduce record-keeping friction, but farmers still need to verify the output — and the company’s data terms deserve attention.
South African livestock farmers using AgriWebb can now turn a quick paddock note into draft digital livestock records, after the farm-management software company launched its new AI-powered Farm Diary on 21 September.
The feature is currently available to Mob Management customers in South Africa, Australia and New Zealand, using AgriWebb app version 4.0.0 or later. AgriWebb says support for other regions and plan types will follow gradually.
The basic idea is simple: instead of stopping to complete several structured records while working with livestock, a user can type or dictate a short note in the app. Farm Diary then interprets that note and creates draft livestock or paddock records for later review.
Crucially, those records are drafts. They are not automatically treated as final farm records. The user — or a farm manager — still decides whether to save them.
What the AI can — and cannot — do
AgriWebb’s current help documentation says Farm Diary can create draft livestock and paddock records. It does not yet create cropping, task or rainfall records.
If the system cannot determine what a note refers to, or if the requested record type is unsupported, it returns a “No match” result. The user can then add more detail or create the record manually. AgriWebb also acknowledges that the system may not populate every field correctly or completely and describes the functionality as work in progress.
That limitation matters in agriculture, where an incorrect treatment date, mob movement or animal-management entry may be more consequential than an ordinary note-taking error.
Farm Diary therefore looks less like an autonomous farm-management system and more like an AI-assisted data-entry layer: it attempts to translate informal notes into the structured records already used in AgriWebb.
The diary can also be used when the device is offline. Notes can be captured without connectivity and the draft records are generated after the app next synchronises.
Why this matters in South Africa
The launch comes as livestock record keeping and traceability are becoming increasingly important in South Africa.
Red Meat Industry Services’ national traceability system is designed to connect farms, auctions, feedlots and abattoirs through compatible livestock-management systems. RMIS says farmers can continue using participating farm software while relevant traceability information is exchanged with the national platform. AgriWebb is listed by RMIS among the integrated livestock-management systems.
Traceability has also become more prominent during South Africa’s continuing foot-and-mouth disease response. Government and industry measures increasingly emphasise animal identification, movement information and audit-ready records as part of disease control and market-access systems.
That does not mean Farm Diary by itself provides regulatory compliance.
The new AI function is currently a Mob Management feature, and farmers still need to comply with the specific identification, vaccination, movement and traceability requirements that apply to their animals and circumstances. An AI-generated draft should therefore be checked in the same way as manually captured data before it becomes part of a farm’s formal record.
Farm data and AI
The introduction of AI into record keeping also raises an important data question.
AgriWebb’s current Global Customer Agreement, dated 25 February 2026, says ownership of Customer Data remains with the customer. At the same time, customers grant AgriWebb and its subprocessors rights to process that data as required to provide the service.
The agreement goes further: it says AgriWebb may use Customer Data and derivative materials for internal business purposes, including to develop, train and improve its software, services and current or future AI-based offerings. It also permits commercial use of derivative materials provided those materials do not identify the customer or an individual in a reasonably identifiable form without prior consent.
AgriWebb maintains a public list of subprocessors used across its services, including cloud infrastructure, databases, analytics and customer-support providers. The list reviewed by Agri Online on 22 September did not separately identify the AI model or model provider used specifically for Farm Diary.
The product documentation also says Farm Diary entries are visible to other users on the farm who hold the “Livestock Record Keeper 1” role or higher.
For farms adopting the feature, that makes account permissions and the type of information entered into free-text notes worth considering alongside convenience.
Less paperwork — if the drafts are right
The potential attraction is straightforward. Farm work often happens away from a desk, and structured records can be completed hours after the event.
Allowing a farmer to record something quickly and have software prepare the corresponding records could shorten that gap and reduce repeated data entry.
But the value of the system will ultimately depend on the quality of those drafts.
AgriWebb itself does not claim that Farm Diary removes the need for review. Its current documentation makes clear that information may be missing and that users remain able to edit or delete records through the normal record-management process.
For South African livestock producers, that distinction is likely to be the important one: AI may make record keeping faster, but accurate records remain the farmer’s responsibility.
Editorial note: Information in this report was compiled from multiple sources considered credible and reasonably verifiable at the time of publication. Developing information may change after publication. Agri Online welcomes factual corrections or updates at admin@agrionline.co.za.
AI disclosure: AI tools were used to assist with the research and drafting of this article.
KI-deursigtigheid: KI-hulpmiddels is gebruik om met die navorsing en opstel van hierdie artikel te help.