$8M
in added revenue from an optimized customer funnel
Mid-market enterprise
$3.5M
in new marginal revenue, delivered when it mattered most
Large enterprise organization
Hours
to migrate core data to a new ERP instance
Multi-billion-dollar organization
Today's AI is like a brilliant new hire with no onboarding. It has your documents and your APIs, but not the tribal knowledge, the critical business context, or the know-how to actually drive your objectives.
Canopy is that onboarding. It gives AI an explicit, living model of your operation, so agents can act on facts instead of inferring them.
1
Help people get answers from enterprise information
2
AI can do valuable work safely inside the operation
3
AI feedback loops can improve the operation itself
A living model of your organization, built for AI to operate on.
Fast to value
Live in days, built on what your team already knows.
Built to grow
Extends automatically as your systems and processes change.

20 hours
to complete a leading ERP implementation from a legacy system of record.
70%
lower implementation and migration costs on leading ERPs and other systems of record.
Millions
in new revenue for a large nonprofit enterprise, after Canopy remodeled how it forecasts revenue and makes decisions.
Agents work inside the permissions they were given and read only what they should. They never guess at structure, because the model tells them what exists and what is true right now. When something changes, every agent sees it at the same time.
Build the interface a team actually needs, in days rather than a quarter. Applications read and write the same model the agents use, so a change made in one place is the same change everywhere.
Workflows chain agents, applications, and human approvals into a process you can audit. Each step names who owns it and what it changed, so a run you can explain is the default rather than the exception.

Our models are actively deployed at some of the most complex institutions.
“Florida Atlantic is proud to partner with Workday and Canopy in exploring an innovative, AI-driven approach to ERP conversion. We believe this work has the potential to fundamentally simplify how institutions transition between platforms—reducing the time, complexity, and cost of migration while helping universities realize the value of modern systems”