Owl
One environment per company.
Work for that company stays in that Owl. Another company does not see it.
Trust
Company data. Clear boundaries.
Each company has its own Owl environment. Customer-facing messages wait for a person.
Sends
Owl drafts. A person sends.
Owl writes the message. A person at the company has to approve it before a customer sees it.
Following up on Tuesday's quote
Circling back on the quote from Tuesday. The numbers have not changed. Happy to walk through it if that helps close.
Separate by company
Each company has its own Owl.
Work for that company stays in that Owl. Another company does not see it. A person still hits send.
Models
Client Data stays Client Data.
WiseBird Systems does not train public models on Client Data.
About
Built from real business work.
Origin
A real sales desk.
Sales and customer information lived across too many tools. Owl grew from that work: a system built around the process, not the other way around.
The firm
Own companies first.
WiseBird Systems runs Owl on its own companies first. Then on yours.
Where it runs
A dedicated environment. Your rules.
Deployment
Each company gets its own Owl environment. Hosted by WiseBird, or in the company's own cloud tenant when that is required.
Models
Prepaid for that Owl, with a cap. Or the company's own approved model endpoint, so inference stays inside the boundary the security team already set.
Access
Owl sees only the systems a workflow needs. Read-only is available. Customer-facing work waits for a person. Answers can show which systems they came from.
Before you connect
Ask about the data first.
What to connect
The team chooses the systems and the job. Access is scoped to that work.
What to read
Security, privacy, and subprocessors are published. Those pages are the source of truth.
Who to ask
Write to hello@wisebirdsystems.com with Security in the subject, or discuss a workflow.
Policies