CX Lab AI

Ask the customer operation a question — and see the evidence behind the answer.

CX Lab AI works across health, support, product usage and customer feedback so teams can move from “what happened?” to “what should we do next?” without digging through separate reports.

ASK CX LAB AI

What should Customer Success focus on this week?

Prioritize four renewal-risk accounts first. All four show declining usage alongside unresolved support friction.

HealthSupportUsageSentiment
Grounded intelligence

The difference is not the chat interface. It is the context behind the answer.

CX Lab AI is designed to answer against customer evidence in the workspace — not to generate generic customer-success advice from a blank prompt.

app.cxconsultinglab.com/copilot
CX Lab AI copilot showing grounded recommendations based on customer health, support, usage and sentiment
Actual CX Lab AI UI rendered with demo workspace data.
How the answer is built

Useful AI should show its working.

When a recommendation affects a customer relationship, teams need to know which signals drove it. CX Lab AI combines customer and operating context into an answer that can be inspected and acted on.

Account context

Customer health

Adoption, usage movement, support issues, sentiment and renewal timing explain which accounts are changing.

Conversation context

Voice of Customer

Recurring pain, requests and sentiment explain what customers are experiencing across channels.

Operational context

Next best action

Recommendations connect the evidence to an owner, priority and practical action rather than stopping at analysis.

Questions worth asking

Use AI where the decision is hard — not just where the answer is easy.

The strongest use cases are questions that normally require someone to reconcile several systems, interpret customer context and decide what deserves attention first.

RETENTION

Which customers need attention this week?

Rank accounts using health, renewal, usage and support evidence.

EXPERIENCE

Why did CSAT decline?

Connect sentiment movement with recurring topics and journey stages.

PRODUCT

What are customers asking for most?

Surface recurring requests across tickets, chats, surveys and reviews.

AI

What should we automate first?

Balance workload opportunity with customer risk, process maturity and governance.

GENERIC AI

Answers the question you typed.

Useful for drafting, summarizing and general guidance.

→
CX LAB AI

Answers from the customer evidence you operate with.

Useful when the decision depends on your accounts, your signals and your operating context.

Start with your customer evidence

Give CX Lab AI the context it needs to become useful.

Request the assessment to establish a baseline, then connect the customer signals that matter to your operation.