HeyFlora

Agents + Execution Layer

The execution layerfor landscape.

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.

The HeyFlora Agents dashboard, an AI team running 24/7

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.

A team of AI agents, built for every role.

Agent ecosystem, FloraCore at the centre with thirteen specialized agents across Field + Operations, Sales + Client Growth, Business + Admin, and Technical + Production. Bottom strip, specialized by role, connected by context, coordinated by FloraCore.

The Six AI Primitives

The six primitives behind autonomous execution.

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.

1

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.

2

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.

3

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.

4

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.

5

Evals

Outputs are checked against standards.

Agents are measured for accuracy, quality, safety, compliance, and company-specific expectations.

Good AI is measured, not guessed.

6

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.

Put a team of AI agents on your stack.

We’ll walk through your team, your tools, and your workflows, and show you exactly which agents we’d run on day one.