Data minimization
We design around the smallest useful data set for the workflow instead of pulling broad access by default.
Privacy & Security
Responsible AI systems need clear boundaries.
Canopy designs automation around the data, permissions, approvals, and human review points that keep AI useful inside real business operations.
How Canopy handles business data
Canopy works with practical data minimization: use what the workflow needs, avoid unnecessary access, and keep teams clear on what each agent can see or do.
Permission mapping
Before launch, we identify which tools, accounts, folders, forms, and systems the agent needs to interact with.
Client-owned systems
Your business keeps ownership of its accounts, files, customer records, and internal operating context.
Controlled handoffs
Agents can draft, summarize, route, and prepare work while sensitive approvals stay with the right person.
Clear documentation
Each build includes notes on what the system does, where it gets information, and when the team should step in.
Ongoing review
Canopy monitors outputs and improves prompts, rules, and workflows as business needs change.
Not every task should be fully automated.
The safest AI systems are honest about where automation belongs. Canopy looks for repeatable work that can be structured, checked, measured, and escalated when something falls outside the expected path.
For sensitive decisions, external communications, financial actions, legal reviews, healthcare workflows, HR decisions, or anything with material risk, the default approach is human review before action.
Human-in-the-loop design
Workflows can require approval before emails are sent, records are changed, tasks are closed, or client-facing messages go out.
Escalation paths
When an agent lacks confidence, hits missing data, or sees an exception, the system can route the item to a human owner.
Operational visibility
Teams need to understand what happened, why it happened, and what the next action is. Canopy builds for traceable handoffs.
Privacy notes for prospective clients
This page is an overview, not a substitute for a formal contract, DPA, or compliance review. Final requirements are confirmed before a build begins.
Discovery calls
Information shared during discovery is used to understand the workflow, estimate automation fit, and recommend a controlled build plan.
Project materials
Documents, examples, and system access are requested only when needed to design, test, or support the agreed workflow.
Third-party tools
Some builds may use client-approved AI platforms, automation tools, CRMs, storage systems, or communication apps. Those tools keep their own terms and security controls.
Bring the workflow. We will map the risk with it.
Book a discovery call and Canopy will identify the tools, access points, review steps, and safest first automation target.