Context
The action starts from real context: the customer's history, the company's knowledge, the relevant policies. Work is grounded in your records, not improvisation.
No action without contextAI safety
Blivo puts AI employees to work on real business, which demands real safety. Safety here isn't a disclaimer; it's a pipeline the platform enforces on every action, and a record you can read afterwards.
The six stages every action passes
Before an AI employee does anything, its work moves through these six gates. Each one is enforced by the platform, in this order, every time.
The action starts from real context: the customer's history, the company's knowledge, the relevant policies. Work is grounded in your records, not improvisation.
No action without contextThe platform verifies this employee may do this kind of work at all. Permissions are granted by role and position; anything not granted is closed by default.
Closed unless grantedYour company's rules apply to the specifics: discount limits, what can be promised, what may be shared. A policy isn't advice to the AI; it's a check the platform runs.
Rules, not suggestionsActions you've marked as sensitive pause here and land in a human's approvals queue with full context. The AI employee cannot approve its own work, ever.
Humans decide the sensitiveOnly after the first four gates pass does the work happen, exactly as permitted: the reply sent, the document issued, the record updated.
Acted as approvedThe action and every gate it passed are written to an append-only record. Not editable, not deletable, reviewable by you at any time.
Written permanentlyHuman priority, concretely
The rules that keep people in charge, as behavior, not slogans.
In any conversation, a person can step in at any moment. The AI employee stands down and stays available.
Every approval gate is decided by a person with the right role. There is no code path where an AI approves work.
Permissions and policies are changed by your people through the interface, with the changes recorded. An AI employee never widens its own reach.
Explicit uncertainty triggers handoff to a person. We prefer a good question over a confident mistake.
Boundaries, drawn by structure
The fences are organizational, because that's what a company already understands.
A sales AI employee works in sales. It doesn't act in finance's scope, read HR's requests, or touch another department's work.
Each AI employee has its own permissions and responsibilities, set individually. Two employees in the same department can have very different reach.
Your AI employees see your company's data and nothing else. Isolation between companies is structural and tested.
Sensitive actions are enumerated, not vibes: sending quotes and invoices, changing money records, anything with legal effect. Each requires a human yes.
Escalation is part of the job
When any of these happen, the work stops and a person takes it, with context attached.
Resource controls
AI work is metered, capped, and attributable.
Auditability
After the fact, the story is complete.
The Trust Center holds the security, privacy, and reliability details, and the roadmap for independent validation.