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AI Assistant for Call Centers Helps Operators Perform Faster

The AI listens to the call, understands what's being discussed, and puts the right information on screen before the operator needs it

Sound familiar?

01

Most calls aren't new

Over 60% of your daily calls are about order status, delivery times, or return policies.

02

Valuable data goes unused

You record every conversation, but no one has time to review thousands of hours of calls.

03

Training takes too long

New operators need 3–4 weeks before they can confidently handle customers on their own.

04

Previous AI disappointed everyone

You tried chatbots before, but customers avoided them and operators stopped trusting them.

05

Your FAQ is already outdated

Customers ask questions your website doesn't answer anymore.

06

Peak season always hurts

You hire temporary operators who don't know your products, policies, or processes.

Your operators aren't the problem.

They're answering the same questions hundreds of times every day. The issue isn't speed - it's spending hours searching for information customers have already asked for. AI puts the answer on screen before they need to look for it, making every call faster, more accurate, and less stressful.

Calculate your cost

What it does

  • Answer on screen before the question ends

    The AI transcribes the call, identifies the topic, and surfaces the answer from your knowledge base. The operator reads it. Handle time drops from 4+ minutes to under 2.

  • Calls are routed to the right operator instantly

    Instead of forcing callers through menus, the AI identifies the topic during the first moments of the conversation and routes the call directly to the operator most qualified to handle it.

  • Your FAQ written from your actual calls

    The platform analyzes every call and highlights absent questions on your customer portal. Most teams reduce repeat call volume by 30-40% within 60 days.

  • Connects to your existing telephony in days

    The platform integrates with systems such as Asterisk, Genesys, Twilio, Avaya, and most SIP-based environments. Operators continue using the tools they already know.

  • Customers never know AI is there

    Customers hear exactly what they expect: a confident human who knows what they're talking about. The difference is that the operator already has the answer in front of them.

  • New operators are productive in 3 days, not 3 weeks

    With AI guidance, memorizing policies, product details, procedures, and exceptions becomes available on demand. Many teams reduce onboarding time from weeks to just a few days.

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What it changes

63% lower handling time

63% lower handling time

From 4 minutes 12 seconds to 1 minute 38 seconds across multiple implementations.
3 days to independent productivity

3 days to independent productivity

Instead of three to four weeks of shadowing and supervision.
38% fewer repeat calls

38% fewer repeat calls

Driven by identifying and closing FAQ gaps.
Go live in days

Go live in days

Most operators begin receiving live suggestions within days of integration.
100% consistent answers

100% consistent answers

Every operator follows the same policies and latest documentation.

How it works

What changes is what the operator sees—not what customers hear.

AI listens

Calls are transcribed in real time while the operator continues the conversation.

AI prepares the answer

Within seconds, the platform identifies the topic and retrieves the right information.

Operator responds

The answer appears instantly on screen, ready to use in natural conversation.

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Data security

Processing happens locally

Processing happens locally

Transcription and analysis run on your own servers or your private cloud. Audio and transcripts are never sent to us or to any third-party AI provider. 100% local processing
No external AI during live calls

No external AI during live calls

The AI processes conversations entirely within your environment, without relying on external APIs or cloud AI services. 0 third-party AI requests
Full control over data retention

Full control over data retention

Decide what gets stored, where it's stored, and how long it's kept. The platform follows your retention policies - not ours. Full data control

From kickoff to production in two weeks

  1. 30-min scoping call

    We review your call volume, telephony, support workflows, and estimate integration scope and potential ROI.

  2. Telephony integration

    We connect to your existing phone system via SIP or API and import your knowledge base.

  3. Knowledge base and pilot launch

    We import your documentation, fine-tune the AI on your real support data, and launch with a small operator group before full rollout.

Case Study

From 200 daily calls to a team that handles twice the volume

Client

Könner & Söhnen. A power tools and outdoor equipment brand with customer support across 6 European markets. 200-350 inbound calls per day, depending on season, handled by a team of 12 operators across two shifts.

The problem

68% of calls were about order status, delivery timing, or return procedures: questions that had answers, but operators had to look them up manually in 3 different systems. Average handle time: 4 minutes 12 seconds. During peak, the queue hit 40+ minutes, and callbacks were missed.

What we built

We integrated the AI assistant with their existing Asterisk telephony. The system now transcribes every call in real time, identifies the topic within 2 seconds, and surfaces the relevant answer. We mean order status from the OMS, delivery tracking from DPD, return status from their CRM directly on the operator's screen. We went through Black Friday with the same team size and no queue backlog.

61%

average handle time from 4m 12s to 1m 38s within the first 30 days

3 days

new operator onboarding down from 3 - 4 weeks of supervised shadowing

34%

repeat call volume after 60 days FAQ gaps identified and filled from call data

12 days

from kickoff to full team rollout across both shifts
Calculate your ROI in 30 minutes


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Kristina  (HR-Manager)