Customers know where things stand
Explain the latest verified order or account state instead of repeating a generic answer.
CUSTOMER SERVICE · AI WORKFORCE
Give customers a resolution. Not another repeat conversation.
Requests resolved and recorded, with the account context to act and a named owner for anything needing judgement.
A defined business outcomeEvidence in your systemsHire or build the responsible role
WHAT BETTER LOOKS LIKE
Start with the result your team needs.
These are the intended outcomes to validate for your deployment. Judge the employee by the work completed and the exceptions handled, not by conversation volume alone.
Routine requests reach a useful next step
Complete supported actions and verify the destination record before confirming success.
Specialists receive the full context
Preserve the request, prior actions and decision needed when a case exceeds authority.
THE EVIDENCE STANDARD
A closed conversation is not proof of resolution.
Measure the pilot against agreed completion criteria and verify each outcome in your systems.
WHAT COMPLETION LOOKS LIKE
A resolution reflected in the service record.
Completion follows confirmed evidence. Each state below depends on the required source record.
Service case
Request understood
Customer and request matched
Awaiting next source confirmationRequest understood
Customer and request matched
Shown in this exampleAction verified
Supported change confirmed in the source system
Pending evidenceResolution recorded
Case and customer confirmation agree
Pending evidence
If the customer disputes the result, keep the case open for the assigned specialist. No live records or measured performance are shown.
| Outcome to validate | Evidence that supports it | What is not sufficient |
|---|---|---|
| Resolved request | Destination record and customer-facing confirmation agree. | Conversation closed or a response sent. |
| Accurate answer | Answer is traceable to current, permitted source information. | A fluent answer without source context. |
| Useful handoff | Case has a named owner, attempted actions and an outstanding decision. | A transfer message without ownership. |
Compare against your own baseline.
Use a consistent set of request types to compare verified resolution, repeat contact, incorrect actions and unowned exceptions. Keep unresolved cases in the denominator instead of dropping them from the report.
THE WORKFLOW
See the responsibility in action.
See the employee’s actions, the record it prepares and when a person takes ownership.
ISHAAN AT WORK
From ‘where is my order?’ to a verified delivery update.
Ishaan autonomously looks up orders, reads shipment events, answers delivery questions, sends current status updates and records or routes delivery exceptions. Switch to an exception to see when, and why, your team steps in.
The conversation
My order hasn’t arrived. Can you check where it is?
ISHAAN
I’ll match your order and look at the latest shipment event.
Conversation → structured context
Ishaan
Match customer and order reference
Autonomous · within your rules
Orders + carrier events
People join only when needed
Delivery timeline
- Order · reference matched
- Shipment · carrier identified
- Latest event · out for delivery
SYSTEM ACTION
Match customer and order reference
Awaiting workflow steps
Step 1 of 4 · Match
Example sequence only. Channels, integrations and permitted actions are configured and validated for your deployment.
PUT A ROLE BEHIND THE OUTCOME
Hire the employee who owns the responsibility.
Choose a pre-built role, then configure its knowledge, supported actions and limits for your environment.
Ishaan
AI Order Support Agent
Turn shipment enquiries into referenced delivery updates.
Hire Ishaan →
Zara
AI Returns Agent
Check eligibility and create supported return requests.
Hire Zara →
Meera
AI Onboarding Agent
Guide setup and record verified onboarding progress.
Hire Meera →MAKE THE OUTCOME SUPPORTABLE
Agree the access, authority and evidence.
A credible pilot needs the right source records and clear boundaries. Review the proposed scope with the owners who will operate and assess it.
Connect the source of truth
Connect the relevant helpdesk, order or product records, approved knowledge and supported action APIs. Identify the exact customer or workspace before exposing account-specific information.
Review integration requirements →Keep decisions with the right owner
Disputed delivery, policy exceptions and administrator permissions leave the routine path. Preserve the customer’s request and assign the right specialist without presenting escalation as resolution.
Review governance & security →Bring evidence to the first discussion.
Share anonymized examples, the current outcome definition, baseline measurements and cases that went wrong. Agree the test cohort, observation window and release criteria. Keep unresolved and failed cases visible in the evaluation.
CUSTOMER SERVICE QUESTIONS
Understand the outcome, and its limits.
What is AI customer service?
AI customer service is a workflow an AI employee owns from first contact to a resolved and recorded request, with the account context to act and a named owner for anything needing judgement.
Can this replace our customer-service chatbot?
It can support the same conversation channel while giving defined AI roles responsibility for permitted actions. Scope the request types, systems and exception owners first. A workforce is not a promise that every incoming request can be resolved autonomously.
How should we measure resolution?
Agree what counts as resolution for each request type and check the resulting record. Review repeat contact and reopened cases over a consistent observation window. Deflection and response speed are useful operational signals, but are not substitutes for accurate resolution.
What if the customer disputes the system record?
Keep the source state and the customer’s report together. A delivered shipment with a non-delivery complaint requires investigation, not repeated reassurance. Route the conflict with the relevant identifiers and completed checks.
Can we use one employee for every support issue?
Start with a bounded responsibility and approved knowledge. Different requests may require different tools, authority and specialist ownership. Build a custom role when the pre-built responsibilities do not match your support scope.
How do we measure success?
Agree a baseline and completion criteria for the workflow. Compare outcomes using your source records, including verified system changes, human review and unresolved cases.
Can we hire a pre-built employee or build our own?
Both. Start with a pre-built responsibility shown here, or design a custom role around your outcome. In either case, scope knowledge, system access, permitted actions and exception ownership before launch.
What do we need for a pilot?
Bring the target outcome, baseline records, representative requests and exceptions, required systems and an accountable owner. Agree success criteria and data-handling requirements before testing. Timing depends on access, integration and review work rather than a universal launch promise.
Which integrations and channels are supported?
Confirm the specific systems, API operations, access requirements and channels with the implementation team. The categories here are a scoping guide, not a native-integration guarantee. Test failure handling and result verification as well as successful interactions.
CUSTOMER REVIEWS ON G2
From conversations to completed work.
4.9/ 5
1 / 7
START WITH A RESULT YOU CAN VERIFY
What would a better outcome look like for your team?
Bring one responsibility and the records that define success. We’ll scope the employee and the evidence needed to evaluate it.