How do we stop incorrect answers?

Responses are grounded in your approved content, with confidence thresholds that escalate anything uncertain.

Does it work with our helpdesk?

Yes, we integrate with the major platforms and can build against any documented API.

Can we control tone of voice?

Tone, style and escalation language are all configured and reviewed with you.

AI Customer Support

Instant, accurate answers across every channel

Support agents grounded in your own documentation that resolve routine questions instantly and hand complex cases to your team.

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Human escalation by design

Deployment against real workflows

Ongoing quality monitoring

Business outcomes

What changes with AI Customer Support

The technology matters only when it removes friction, protects attention and improves the experience around it.

Resolve in seconds

Customers get correct answers immediately instead of waiting in a queue.

Deflect routine tickets

Typically 50–70% of repeat questions are handled without human involvement.

Happier teams

Agents focus on the cases that need judgement and empathy.

Delivery model

A controlled route to production

We prove the workflow, tune the guardrails and agree the handover before the solution takes live operational load.

01
Discover
Map demand, exceptions and the success measure.
02
Configure
Connect systems, knowledge and permissions.
03
Validate
Test real scenarios with your team in control.
04
Optimise
Monitor quality and improve after go-live.

Product demo

Watch the support agent resolve the ticket

Select a support scenario and inspect the answer, source trail, ticket action, queue decision and human handover boundary.

First response

<10 sec

Target response time across chat, email and messaging channels.

Deflection

50-70%

Typical target range for repeat questions with approved knowledge coverage.

Citation rate

100%

Every direct answer traces back to an approved source or escalates.

Escalation quality

Structured

Human agents receive summary, source trail, tags and next action.

Support queue

Queue decision

Resolved by AI

SLA: Instant

Support simulator

Order status

Answered from order data and delivery policy

Intent

Delivery update

Confidence

96%

Conversation

Customer exchange

Customer

Can you tell me when order KEL-4821 will arrive?

AI Support

I can help. I found order KEL-4821 and it is with the courier for delivery tomorrow between 9 and 13.

Customer

Can I change the delivery address?

AI Support

Because the order is already with the courier, address changes are not available. I can send the courier tracking link so you can manage delivery options.

Resolution logic

Why this action

1Verified identityOrder lookup is available after the configured customer check.
2Retrieved sourceThe answer uses courier status plus the approved delivery-change policy.
3ResolvedNo human handover is needed because the answer is grounded and complete.

Ticket output

Status

Closed

Summary

Customer asked for order KEL-4821 delivery timing and address-change options.

Next action

Send courier tracking link and keep transcript attached to customer profile.

Support agent, not a simple chatbot

AI Customer Support resolves or routes the whole support interaction: source retrieval, identity-aware answer, ticket update, queue decision and learning loop.

Controls

Inspect the support rule

Knowledge sources

Approved help articles, policy docs, order data and product release notes.

Source trail

Courier status

Delivery booked for tomorrow, 9-13 window.

Delivery changes policy

Address changes close once the parcel is with the courier.

Guardrails

No approved source

The agent drafts a handover and avoids inventing an answer.

Low confidence

The reply becomes an internal suggestion or moves to the right queue.

Account risk

Identity, billing and permission checks are required before action.

Customer frustration

Priority rises and the customer is offered a human handover.

Artifacts generated

Customer answer

Grounded response with source trail and channel-appropriate tone.

Ticket update

Status, tags, queue, SLA and summary written back to the helpdesk.

Agent handover

Human-readable context with what was tried and what needs judgement.

Knowledge gap

Unanswered or escalated issues are captured for content improvement.

Core capabilities

What is included

Web chat, email, WhatsApp and helpdesk integration
Answers grounded in your approved knowledge sources
Ticket creation, tagging and routing
Confidence thresholds with human handover
Continuous learning from resolved tickets
Full analytics on deflection and satisfaction

Operational fit

Where it delivers value

01Tier-one helpdesk support
02Order and account queries
03Product and policy questions
04Internal IT support

Governance

Built for control, not black-box automation

Permissions

Access follows the roles and rules you approve.

Escalation

Uncertainty and exceptions move to the right person.

Evidence

Activity and outcomes stay visible and reviewable.

Questions

What teams ask about AI Customer Support

See where AI Customer Support fits your operation

We will map the workflow, identify the integration and governance requirements, and give you a clear route from first use case to production.

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