Results

Measured outcomes, on the record.

The numbers behind the platform — each one attributed, each one checkable. Deployment figures come from live customer deployments; platform figures are verifiable against the shipped product and public pricing.

Last updated: 2026-06-12

The outcomes
60%less
Manual coordination time

Measured after moving routine work onto LeafMesh-orchestrated agent teams.

LeafCraft deployment data, 2026

Faster cycle time

Ticket-to-deployment ran 3× faster on operations coordinated through the LeafMesh fabric.

LeafCraft deployment data, 2026

100%
Decision audit coverage

Every agent decision logged, attributable, and replayable — across every deployment.

LeafCraft deployment data, 2026

Zero
Unreviewed production decisions

Customer-facing and money-moving actions are policy-checked and logged by default.

LeafCraft deployment data, 2026

By the numbers
18
Working templates

235 verified agent roles, 310 entry points, and 32 scheduled jobs across sales, support, finance, HR, and operations.

create-leafmesh 2.4.0 template registry, June 2026

8
First-class LLM providers

OpenAI, Anthropic, Gemini, Bedrock, Azure Foundry, Vertex, DeepSeek, and local models — through one YAML runtime. Mistral, Cohere and Llama reach via Bedrock/Vertex.

LeafMesh ADK documentation, June 2026

$99/mo
then $0.06 per invocation

5,000 agent invocations included, then a flat $0.06 — the same rate across human, LLM, and system agents.

LeafCraft pricing, June 2026

6–10×
Year-1 ROI band

For enterprise deployments, computed at a conservative 25% first-year capture rate on an hourly-anchored model.

LeafCraft ROI methodology, leafcraft.ai/roi, 2026

The ROI band is a directional planning model — assumptions and arithmetic are documented on the ROI methodology page and calibrated per customer in a working session.