Human handoff
AI Employees can hand work to a person when configured conditions require human involvement or when the workflow cannot safely continue.
Responsible AI
Polyosync is built for AI Employees that can execute business work. Responsible operation therefore includes human handoff, approvals, action governance and observability.
Operating principles
AI Employees can hand work to a person when configured conditions require human involvement or when the workflow cannot safely continue.
Customers can define approval requirements for actions that should not execute without human review.
Capabilities, permissions, tools and workflows determine what an AI Employee is allowed to do. The goal is to constrain execution to the business rules configured for that employee.
Execution activity, tool calls, outcomes and relevant operational signals provide visibility into what happened and support investigation and quality review.
Role, business knowledge, capabilities, permissions and approval rules establish the operating boundary.
Human handoff and approvals provide intervention points for workflows that require judgment or authorization.
Execution history and operational telemetry help teams understand activity, investigate failures and review quality.
AI outputs can be probabilistic or inaccurate. Customers remain responsible for configuring appropriate permissions, approval policies, data boundaries and human review for consequential work.
Copy system
Every Polyosync page answers the same operational questions. No vague AI claims: what it is, what it does, how it operates, what it automates, and where people stay in control.
An operating model for defining what AI may do, reviewing sensitive actions, and observing what happened after execution.
Role + business knowledge + capabilities + authorised tools + integrations + defined workflows. The configuration determines what the AI can access and do.
Businesses that need AI to operate with explicit boundaries and accountable human intervention.
Human review is an explicit part of the model: define boundaries, review where required, and hand work to people when the AI reaches a defined escalation point.
Use the same Define → Review → Observe model for individual employees, coordinated workforces and enterprise workflows.
Availability
Responsible AI controls described here are product mechanisms; they are not a claim of third-party certification.