Context
Agents understand the situation before they act.
Flora pulls from your SOPs, properties, customers, documents, pricing, software data, and field history.
The right answer starts with knowing the situation.
Agents + Execution Layer
Agents that turn intelligence into action.
HeyFlora’s specialized AI agents work across every department of a landscape company, from crews and operations to sales, finance, design, admin, and executive leadership.
Each agent is powered by your company context, connected to your workflows, and designed to move work forward without adding another layer of manual software.
Role-aware agents
Each agent understands a department, workflow, and user type.
Connected to company context
Agents work from your SOPs, properties, documents, pricing, systems, and history.
Designed for execution
Agents create tasks, reports, tickets, alerts, proposals, and recommendations.

The Six AI Primitives
HeyFlora agents are powered by six core AI primitives that give them context, memory, skills, evaluation, and continuous learning. Together, these primitives turn company knowledge and field activity into real business execution.
Context
Agents understand the situation before they act.
Flora pulls from your SOPs, properties, customers, documents, pricing, software data, and field history.
The right answer starts with knowing the situation.
Agents
Specialized AI workers for each function.
Each agent is trained around a department, role, and workflow inside a landscape company.
Each agent has a job. Together, they run workflows.
Skills
Reusable actions agents can perform.
Skills let agents create tickets, generate reports, draft proposals, summarize huddles, analyze photos, and complete workflows.
Skills are how agents get work done.
Memory
The system remembers what happened.
HeyFlora learns property history, user preferences, company standards, recurring issues, and past decisions.
The platform gets smarter because it remembers.
Evals
Outputs are checked against standards.
Agents are measured for accuracy, quality, safety, compliance, and company-specific expectations.
Good AI is measured, not guessed.
Self-learning
Every workflow improves the system.
Each snap, huddle, report, ticket, correction, and completed task helps Flora become more useful over time.
Every workflow makes the system better.
Context tells agents what matters.
Skills let them act.
Memory and evals ensure quality.
Self-learning drives continuous improvement.
We’ll walk through your team, your tools, and your workflows, and show you exactly which agents we’d run on day one.