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?
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Most calls aren't new
Over 60% of your daily calls are about order status, delivery times, or return policies.
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Valuable data goes unused
You record every conversation, but no one has time to review thousands of hours of calls.
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Training takes too long
New operators need 3–4 weeks before they can confidently handle customers on their own.
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Previous AI disappointed everyone
You tried chatbots before, but customers avoided them and operators stopped trusting them.
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Your FAQ is already outdated
Customers ask questions your website doesn't answer anymore.
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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
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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.
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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.
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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.
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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.
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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.
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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.
What it changes
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63% lower handling time
From 4 minutes 12 seconds to 1 minute 38 seconds across multiple implementations. -
3 days to independent productivity
Instead of three to four weeks of shadowing and supervision. -
38% fewer repeat calls
Driven by identifying and closing FAQ gaps. -
Go live in days
Most operators begin receiving live suggestions within days of integration. -
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.
Data security
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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
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
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
Case Study
From 200 daily calls to a team that handles twice the volume
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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.
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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.
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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.
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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
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