Qonnex

고객 경험

Answer faster, resolve more, and keep the customers you already won.

Slow responses lose deals and renewals quietly. We put AI in front of the routine volume so your team spends its time on the conversations that need a human.

The shape of results

First response time
11 hours0 min
Resolved without escalation
2 in 100 in 10
Follow-ups completed on time
6 in 100 in 10

From implementations in this area, measured against each client's own baseline.

The problem, in your words

  • Slow or inconsistent customer response

    A prospect who waits eleven hours for an answer has usually already heard back from someone else. The cost never shows up on a report; it just looks like a quiet month.

  • Missed follow-ups and lost leads

    Quotes sit open, renewals lapse, and warm leads cool off, not because anyone decided to drop them but because following up is nobody's whole job.

  • Support volume that grows faster than the team

    Volume grows with every sale you make, and hiring your way ahead of it means your cost of service grows exactly as fast as your revenue.

  • Answers that depend on who happens to reply

    Your best agent gives a great answer and your newest gives a guess. To the customer, both of them are the company.

What we implement

  • AI support systems

    Routine questions get accurate, on-brand answers immediately, around the clock.

    Sits in the channels customers already use: email, chat, and your help desk.

  • Intelligent triage

    Every incoming request is classified and routed to the right person with context attached.

    Plugs into the inbox and ticket queue you have today; nothing changes for the customer.

  • Follow-up automation

    Quotes, renewals, and open conversations are chased on schedule, so nothing slips.

    Works from your CRM's own pipeline, so chasing matches how you actually sell.

  • Voice-of-customer reporting

    Complaints and requests are summarized into patterns you can act on.

    Reads every conversation you're already having; nobody tags tickets by hand.

What improvement looks like

The shape of results from implementations like these, not a promise about yours.

E-commerce

First response time

Response time collapses because the routine majority of questions no longer waits for a free agent.

이전

11 hours

이후

4 minutes

B2B software

Tickets resolved without escalation

Escalations fall because answers come from your approved knowledge, not from memory.

이전

2 in 10

이후

7 in 10

Hospitality

Follow-ups completed on time

Follow-ups complete because the chase is scheduled the moment the conversation opens.

이전

6 in 10

이후

10 in 10

Financial services

Time to first quote follow-up

Quote follow-up is instant because it no longer competes with the rest of someone's day.

이전

3 days

이후

10 minutes

How the first 90 days run

Every engagement is shaped in the analysis, but this is the usual rhythm for this area.

  1. Weeks 1–2

    Baseline the conversations

    We measure response times, resolution rates, and where inquiries actually go today, on your real traffic.

  2. Weeks 3–6

    AI answers the routine

    The most common questions go automatic, trained on your approved answers, with a clean handoff to a person the moment one is needed.

  3. Weeks 7–10

    Triage and follow-up switch on

    Every request lands with the right owner carrying context, and open conversations start getting chased on schedule.

  4. Weeks 11–13

    The patterns surface

    Voice-of-customer reporting starts turning thousands of conversations into the handful of things worth fixing upstream.

Clear Signals It's Time to Capture Hidden Profitability

  • Customers regularly wait hours for answers your team could give in seconds

  • Deals or renewals have been lost to follow-ups that never happened

  • Support headcount grows every time revenue does

If two of these sound familiar, the analysis will show you what they cost.

무료 분석 받기

FAQs

The questions buyers actually ask before an engagement starts.

Find out what this is worth in your business.

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