Level 2 taught you to use AI on one task at a time with the right source, the right constraints, and the right reviewer. Level 3 is about the company: how the lead-to-renewal workflow is mapped, where AI belongs in it, how standard operating procedures are written so crews follow them, how a plant, product, label, and property knowledge base is built so the assistant reads from documents instead of memory, how scheduling, routing, estimating, and accounting data flow between systems without leaking gate codes or bypassing the dispatcher, and how every AI task is classified by risk and given an escalation path to the certified applicator, the licensed irrigator, the arborist, the engineer, or the one-call centre.
The course runs across the landscaping year. Spring start-up, the H-2B arrival window, the summer heat programme, fall cleanup and leaf routes, irrigation winterization, and snow operations each get a playbook exercise. Two extended case studies, both fictional, follow a maintenance company adopting AI-assisted routing and a design-build firm fixing a plant-substitution problem, and show what measurement looks like when it is honest.
The capstone asks you to redesign one real workflow at your company (or a fictional one you build for the course), with the SOP, the knowledge base sources, the integration map, the risk classification, the escalation paths, the measurement plan, and the verification log evidence that it works. It is reviewed against a published rubric.
This is an independent educational course offered by AI Coalition Network. It does not replace pesticide applicator certification, state irrigation or contractor licensing, arborist qualification, or the safety, labor, and water rules of any jurisdiction.