Responsible AI

AI that can act, with humans and controls where they matter.

Polyosync is built for AI Employees that can execute business work. Responsible operation therefore includes human handoff, approvals, action governance and observability.

Operating principles

Define what AI may do, when a person must decide, and what gets recorded.

01

Human handoff

AI Employees can hand work to a person when configured conditions require human involvement or when the workflow cannot safely continue.

02

Approval policies

Customers can define approval requirements for actions that should not execute without human review.

03

Action governance

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.

04

Observability

Execution activity, tool calls, outcomes and relevant operational signals provide visibility into what happened and support investigation and quality review.

Define

Role, business knowledge, capabilities, permissions and approval rules establish the operating boundary.

Review

Human handoff and approvals provide intervention points for workflows that require judgment or authorization.

Observe

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.

Explore the controls behind AI execution.

See the security model and privacy commitments that support AI Employees and business workflows.

Copy system

Understand responsible AI before you buy it.

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.

01What is it?

An operating model for defining what AI may do, reviewing sensitive actions, and observing what happened after execution.

02What can it do?
  • •Define operational boundaries
  • •Route controlled actions through approvals
  • •Preserve human handoff paths
  • •Observe AI activity and outcomes
03How does it work?

Role + business knowledge + capabilities + authorised tools + integrations + defined workflows. The configuration determines what the AI can access and do.

04What does it replace / automate?
  • •Defined business work within configured boundaries
  • •Routine decisions and actions that do not require human approval
  • •Operational reporting and follow-up
05What control do I have?
  • •Define scope and permissions
  • •Review or approve controlled actions
  • •Escalate to humans
  • •Observe activity and outcomes
06Who is it for?

Businesses that need AI to operate with explicit boundaries and accountable human intervention.

07What does it connect to?
  • •AI Employees and workflows
  • •Business systems and authorised tools
  • •Governance and audit controls
  • •Human handoff paths
08What happens when AI needs a human?

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.

09How does it scale?

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.

See it in the product →