Role solution

Your team should not have to answer the same customer question all day.

Help customers get answers to common product and policy questions, handle routine requests and pass unusual cases to the right person with the conversation context intact.

What work gets done?

From incoming request to completed work.

01

Answer product and policy questions

Handled by an AI Employee using your business knowledge, authorised tools and defined workflows.

02

Find relevant business knowledge

Handled by an AI Employee using your business knowledge, authorised tools and defined workflows.

03

Identify customers and conversations

Handled by an AI Employee using your business knowledge, authorised tools and defined workflows.

04

Handle routine support requests

Handled by an AI Employee using your business knowledge, authorised tools and defined workflows.

05

Create or update customer records

Handled by an AI Employee using your business knowledge, authorised tools and defined workflows.

06

Escalate exceptions with context

Handled by an AI Employee using your business knowledge, authorised tools and defined workflows.

How it connects

Work across the systems your team already uses.

Connect knowledge, tools, integrations and permissions so the AI Employee can complete work instead of only generating replies.

Knowledge base
Customer records
Support tools
Messaging channels

Business result

Faster customer response
Consistent answers
Cleaner human handoffs

Start with the task that is costing your team the most time.

You do not need to automate everything at once. Start with one recurring problem, learn what works, and connect more workflows only when there is a clear business reason.

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Common questions

Questions about Support AI Employee

Clear answers about scope, connected systems, human oversight and getting started with Polyosync.

What does Support AI Employee help a business do?

A support AI employee that answers customers, uses business knowledge and escalates exceptions. Typical workflows include Answer product and policy questions; Find relevant business knowledge; Identify customers and conversations and Handle routine support requests.

What information does Support AI Employee use?

It uses the business knowledge, instructions, permissions and connected tools configured for the workflow. Teams should provide current, approved information and test the answers before relying on them in customer-facing work.

Can Support AI Employee work with our existing systems?

Polyosync supports configured integrations and tools. Relevant system categories for this solution include Knowledge base, Customer records, Support tools, Messaging channels. The exact actions available depend on the integration, permissions and employee configuration.

How is an AI Employee different from a basic chatbot?

A basic chatbot is often focused on answering conversational prompts. A Polyosync AI Employee is configured around a defined role, business knowledge, approved tools, permissions and workflow steps, with human escalation where configured. The exact work it can perform depends on its setup and connected systems.

What happens when a request needs a person?

The workflow can be configured to escalate exceptions or requests that need human judgement. Teams should define escalation rules and decide which actions require approval.

How do we get started with Support AI Employee?

Start with one clearly defined workflow, configure the employee's role and business knowledge, connect only the required tools, and test representative scenarios before expanding its responsibilities.

See whether this workflow fits your business.

Start with a focused setup, explore the workflow, or discuss requirements for a wider deployment.

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Understand Support AI Employee 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?

A support AI employee that answers customers, uses business knowledge and escalates exceptions.

02What can it do?
  • •Answer product and policy questions
  • •Find relevant business knowledge
  • •Identify customers and conversations
  • •Handle routine support requests
  • •Create or update customer records
  • •Escalate exceptions with context
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?
  • •Faster customer response
  • •Consistent answers
  • •Cleaner human handoffs
05What control do I have?
  • •Role instructions and business knowledge
  • •Authorised capabilities and tools
  • •Permissions and action boundaries
  • •Human escalation for exceptions
06Who is it for?

Teams that need support ai employee work handled as an operational role.

07What does it connect to?
  • •Knowledge base
  • •Customer records
  • •Support tools
  • •Messaging channels
08What happens when AI needs a human?

Exceptions can be escalated to the relevant person with the conversation and work context preserved.

09How does it scale?

Start with this role, then add other AI Employees and connect the role into a broader AI workforce or business process.

Availability

The role description reflects the current solution definition; actual actions depend on the configured employee, tools and integrations.

See it in the product →