<\/span><\/h3>\nFind out how prepared your service processes are for intelligent automation today. Tick your boxes \u2013 and count your points at the end. <\/p>\n
1. Do your service employees have access to all relevant customer information at all times \u2013 across all channels?<\/strong><\/p>\n\n- \n
\u2610 Yes, all in one place (3 points)<\/p>\n<\/li>\n
- \n
\u2610 Partially, across multiple systems (2 points)<\/p>\n<\/li>\n
- \n
\u2610 No, a lot of manual research required (1 point)<\/p>\n<\/li>\n<\/ul>\n
2. How often do your agents access a structured, well-maintained knowledge base?<\/strong><\/p>\n\n- \n
\u2610 Daily \u2013 it is a central part of work (3 points)<\/p>\n<\/li>\n
- \n
\u2610 Rare \u2013 not all information is available (2 points)<\/p>\n<\/li>\n
- \n
\u2610 Not at all \u2013 knowledge is usually in heads or e-mails (1 point)<\/p>\n<\/li>\n<\/ul>\n
3. How much time does it take on average for a customer to receive a qualified response?<\/strong><\/p>\n\n- \n
\u2610 Within an hour (3 points)<\/p>\n<\/li>\n
- \n
\u2610 Within a day (2 points)<\/p>\n<\/li>\n
- \n
\u2610 More than one day or unclear (1 point)<\/p>\n<\/li>\n<\/ul>\n
4. Is your team already using AI-powered features in service today \u2013 e.g., suggested answers, text classification, or copilot?<\/strong><\/p>\n\n- \n
\u2610 Yes, regular and structured (3 points)<\/p>\n<\/li>\n
- \n
\u2610 Partially \u2013 in pilot or as a supplement (2 points)<\/p>\n<\/li>\n
- \n
\u2610 Not yet \u2013 but is being considered (1 point)<\/p>\n<\/li>\n<\/ul>\n
5. How clearly and scalable are your service processes defined \u2013 e.g. when forwarding inquiries, escalations or reporting?<\/strong><\/p>\n\n- \n
\u2610 Processes are clearly documented and automated (3 points)<\/p>\n<\/li>\n
- \n
\u2610 There are standards, but with many exceptions (2 points)<\/p>\n<\/li>\n
- \n
\u2610 Mostly solved individually, depending on the employee (1 point)<\/p>\n<\/li>\n<\/ul>\n
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<\/h3>\n<\/span>\ud83d\udcca Evaluation<\/strong><\/span><\/h3>\n13\u201315 points:<\/strong>
\ud83d\ude80 Service as a strategic lever<\/strong>
Your customer service is structured \u2013 now you can use AI in a targeted manner to further scale efficiency and customer experience.<\/p>\n9\u201312 points:<\/strong>
\ud83d\udd27 Solid basis \u2013 with room for improvement<\/strong>
Your team has already laid good foundations. The next step is to better network data, automate processes, and make concrete use of AI potential. <\/p>\n5\u20138 points:<\/strong>
\u23f3 Time for the next leap in development<\/strong>
Many basics are still missing \u2013 but this is exactly where your opportunity lies. With clear pilot projects and a structured platform approach, progress can be made quickly. <\/p>\n<\/span>Conclusion: Service can do more \u2013 if the basis is right<\/strong><\/span><\/h2>\nToday’s customers don’t just expect quick answers, they expect real solutions. If you want to achieve this, you need more than tools \u2013 you need clarity, structure and a system that turns information into real intelligence. AI can be a powerful accelerator in this regard \u2013 if it is properly embedded. <\/p>\n
The first companies are showing how it can be done: They start with clearly defined use cases, rely on solutions with a platform character and quickly achieve noticeable success \u2013 in the team, with the customer, in the KPIs.<\/p>\n
We would be happy to share insights from current projects<\/strong> \u2013 and show you which levers could be particularly worthwhile in your situation.<\/p>\n\ud83d\udca1 For personal exchange<\/a><\/p>\n\n