Typical results from AI chatbots

Anonymized illustrative cases and independent industry studies on deploying AI chatbots at businesses across Europe and beyond.

Transparency: The case studies and testimonials below are anonymized illustrative examples that represent typical scenarios and feedback we encounter with our clients. We’ll add named testimonials with verifiable metrics once we obtain written consent from our clients (in line with GDPR). All the percentage figures below come from independent industry studies (Gartner, McKinsey, NBER, Baymard Institute, Salesforce), cited next to each data point.
65%
of companies use GenAI in operations
McKinsey State of AI, 2024
80%
of inquiries resolved by AI by 2029
Gartner forecast, 2025
+14%
support-agent productivity with AI
Stanford/MIT — NBER, 2023
82%
of customers expect an instant response
Salesforce State of Service, 2024

Illustrative case studies

Typical scenarios from the industries where we deploy AI chatbots.

O
Online store owner
E-commerce, fashion
Challenge

Low website conversion, a high number of abandoned carts, and slow customer-support responses.

Solution

Deploying an AI chatbot for product recommendations and automated 24/7 customer support.

Typical results
  • Dramatically shorter average response time
  • More inquiries captured outside business hours
  • Automated order tracking
The chatbot dramatically cut our response time and captures inquiries even outside business hours, when we’d otherwise lose them.
F
Fintech startup CEO
Fintech
Challenge

A high volume of customer questions, an overloaded support team, and rising customer-support costs.

Solution

An AI chatbot with an extensive knowledge base to automate answers to the most common questions and escalate complex cases.

Typical results
  • Significantly lower support-team load on repetitive questions
  • Shorter wait times for customers
  • Consistent, compliance-aligned responses
The chatbot understands the technical terms from our industry and communicates in exactly the tone we set.
O
Operations Director
Legal services
Challenge

A need to qualify potential clients before a consultation and cut down on irrelevant inquiries.

Solution

An AI chatbot for lead qualification — it asks qualifying questions, collects contact details, and passes a qualified lead into the CRM.

Typical results
  • A higher share of qualified leads
  • Time saved on initial communication
  • Automatic contact capture + CRM integration
The rollout was seamless and the chatbot saves us a significant amount of time on the initial lead qualification.

Typical feedback from our clients

Anonymized feedback representing typical experiences.

The chatbot automated our appointment booking. Customers can book even at midnight.

O
Owner
Beauty salon

Great communication and fast setup. The chatbot answers technical questions accurately and reliably.

C
CTO
IT consulting

The AI chatbot helps us with holiday inquiries. Customers get an answer instantly, even over the weekend.

M
Marketing Manager
Travel agency

Easy integration, excellent support. The chatbot collects contacts and books appointments for us.

O
Owner
Auto repair shop

The chatbot answers property questions around the clock. The number of inquiries we handle has risen sharply.

D
Director
Real estate agency

It saves us time on repetitive client questions. We’re very happy with the quality of the answers.

D
Director’s Assistant
Accounting firm

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