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Why AI employees

Delegate a defined responsibility.

An AI employee is an operating model: a defined role, the knowledge and tools to do its work, boundaries for independent action and an accountable owner for exceptions.

Beyond the label

The difference is how the work is assigned and measured.

Agents can be autonomous, and chat interfaces can connect to tools. Calling something an employee does not create a new technical capability. It makes the responsibility, operating boundaries and expected outcome explicit.

A defined job

Specify when work starts, what completion means and which record proves the result. A response to the customer is not always a completed task.

The tools to act

Connect approved knowledge and system actions. Verify writes and preserve unresolved states rather than guessing that a request succeeded.

Accountable autonomy

Let routine work proceed within scope. Name the person or team responsible for approvals, uncertainty and actions outside the employee's authority.

How it runs

Renewal follow-up, with clear decision boundaries.

Priya can be configured around renewal follow-up. The role needs a reliable policy record, approved outreach and a defined handoff for changes that require a decision.

Workflow step 1 of 4

Identify

Retrieve the permitted renewal record and check whether the policyholder is eligible for outreach.

Start where the responsibility is clear.

Priya, AI employeePolicy renewals

Priya

Follow up on renewal intent and route changes that need approval.

Hire Priya
Peter, AI employeeLead qualification

Peter

Qualify enquiries, arrange the next step and retain the sales context.

Hire Peter
Aisha, AI employeeClaims intake

Aisha

Gather claim details and documents for the claims team to review.

Hire Aisha

Hire pre-built. Or design around your process.

Start with a specialist

Choose a role that matches the work. Configure your knowledge, integrations and permissions, then evaluate the employee against representative cases.

Explore pre-built employees

Build a custom workforce

Define a new responsibility when the catalog does not fit. Decide which roles participate, what context they share and who owns an unresolved case.

Design your workforce

Measure completed work, not activity.

Set a baseline before the pilot. Review verified outcomes, error rates, time spent on exceptions and the total cost of operating the workflow. Do not equate more calls or messages with better business results.

Build an evaluation plan

Before you get started

Does autonomous mean unsupervised?

No. Autonomy applies inside a configured responsibility and permission boundary. People remain accountable for approvals, exceptions and changes to the operating rules.

What does a pre-built role include?

It provides a starting responsibility to evaluate. Confirm the knowledge, connected actions, permission boundaries and handoff requirements for your deployment before launch.

Can we start with one workflow?

Yes. A narrow, measurable responsibility makes it easier to test system access, understand failures and establish a dependable operating process before expanding.

Aye Finance
Bajaj Capital
eMSME
Shyama Power
MedoPlus
Gullybaba
ICOFP
Sapio Analytics
Ostello
OnGrid
Black Kite Foundation
AAFM
Regus Automobiles
Karma Hyundai
Codestax
AksEdge
Tiger FinTech
Coneon
Xoxoday
Blu Parrot
Edgy Scribblers
NxG
V2C

CUSTOMER REVIEWS ON G2

From conversations to completed work.

4.9/ 5
  • End-to-end automation

    We’ve deployed UnleashX across a genuinely wide range of use cases, rather than relying on a single narrow bot.
    Nitin J.SVP, Head of EngineeringEnterprise (> 1,000 employees)
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