What Moves Us

Fiebig starts partnership with Sematell!

We are very pleased to be able to expand our portfolio in the field of AI-driven call centre software with Sematell and look forward to a successful future together. We are sure that thanks to the new partnership we will be able to offer many of our customers a broader range of services and further expand our position as a specialist for digitalisation in customer service and sales.

FIEBIG AI Services can save up to 50% time in email processing.
In addition, customer and employee satisfaction can be significantly increased.

The share of e-mails in customer service continues to be at a very high level and requires a lot of time to process. According to information from customers, the average processing of an e-mail takes between 4 and 8 minutes. Of this time, up to two thirds is often spent on the cognitive understanding of the text by the employees. Email chains, graphical content, signatures and footers all add to the complexity.

The classic way of processing e-mails is therefore not only time-consuming and therefore expensive. It also often leads to frustration among employees, even if an email management system is already in place to support them.

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Fiebig deepens its cooperation with NFON AG and Deutsche Telefon AG!

At the beginning of the year, Fiebig decided to deepen its partner relationship with NFON and Deutsche Telefon. With their size and customer-friendly service approach, the two German medium-sized companies NFON and Deutsche Telefon are an excellent fit for Fiebig as a consulting and system house. We are very pleased to be able to expand our portfolio in the area of CloudPBX and SIP trunk technology with NFON and Deutsche Telefon and look forward to a successful future together. We are sure that thanks to the new partnerships we will be able to offer many of our customers a broader range of services and further expand our position as a specialist for digitalisation in customer service and sales.

ISOCERT Certificate

Our customers benefit from the constant observation and improvement of corporate processes through our quality management system and information security management system. Our goal is to continue to develop our solutions and services and to tailor them precisely to the needs of our customers.

Optimize and automate outbound dialing campaigns with state-of-the-art technologies!

There are many use cases why companies want to contact their customers: Address updates, invoice runs, reminders, but also sales-related topics such as cross-selling and upselling

So get to the lists, or to the CRM, assign employees and off it goes, the painstaking work of contacting and qualifying EVERY customer not yet reached. Often, this is still done manually with telephone lists, Excel tables or, somewhat more modern, even via a CRM system. But it could be much easier. ...

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We are Silver Microsoft Partner!

Our appreciative and trustful cooperation was awarded with the Silver Partnership by Microsoft. Going for Gold now...

Voice of the Customer - or how to better understand your customers with the help of artificial intelligence

Every customer interaction, regardless of the input channel (phone, email, chat, etc.), which is processed in the customer service center says a lot about your customers. ...

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We are Genesys Silver Partner!

Our intensive, appreciative and dynamic cooperation was awarded with the Silver Partnership by Genesys. Going for Gold now…

With Contact Center as a Service (CCaaS) into the digital future of customer service!


Imagine for a moment that you are fully committed to providing your customers with a first-class service on all communication channels. And not being constrained by existing hardware or software and a lack of technical implementation options.
This is no utopia. We show you in a live demo what is possible with a CCaaS platform and what the digital future of customer service looks like.

The Global AI Agenda: Promise, Reality and the Future of Data Sharing

MIT Technology Review Insights

Understanding the real impact of AI on businesses

The possibilities of artificial intelligence (AI) are no longer the preserve of large technology companies. From manufacturing to energy, healthcare to government, MIT has found that companies across all industries and sectors are experimenting with a range of AI solutions.

MIT Report (only available in German)

DIN ISO/IEC 27001:2017

The information security management system of our company is certified according to DIN ISO/IEC 27001:2017. In detail, the following application areas were audited and certified:

  • Consulting
  • Professional Services
  • Managed Services
  • Software development

for omnichannel, AI and cloud solutions in customer service

Our customers benefit from the constant observation and improvement of corporate processes through our quality management system and information security management system. Our goal is to continue to develop our solutions and services and to tailor them precisely to the needs of our customers.

Magic Quadrant for Contact Center as a Service

Do you know the benefits of a true Omnikanal cloud contact center platform?

Read the Gartner Magic Quadrant for Contact Center as a Service Report 2020 to see how industry analysts rate Genesys and to learn more about top rankings in vision and execution.


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The CCW was again a great success! From over 8,000 CCW visitors, many found their way to our booth in order to learn about the use of artificial intelligence in customer service. Especially our consulting approach and our expertise in the field of ​​natural language understanding (NLU) under the slogan "Fiebig – compass in the AI ​​jungle" were very well received. All that we can say is: thank you for your visit, it was a pleasure!

If you have missed us at the CCW 2019, we look forward to meeting you at other events, or you can just contact us directly.

Merry Christmas and a Happy New Year


December 11, 2018


We wish you and your family a Merry Christmas and a Happy New Year!

Your FIEBIG team

Are Chatbots like Funny Pets?

We pursue these and other important questions in an entertaining webinar. Learning and chuckling – always a nice combination. At 11 am on September 12, 2018, you will learn how to integrate chatbots and conversational AI into omnichannel customer service.

  • Intelligent automation with chatbots – how does that work?
  • Practical and economic applications
  • Best practices

To record

Disrupt Yourself!

We often read about companies that are overrun by changes. In contrast, reports on self-inflicted and intentional disruptions are thin on the ground (one might come up with the idea that changes are risky).

The argument for self-disruption is quite simple – and convincing at that. We are approached by massive technical, demographic, social and economic changes. Preparing for that and taking advantage of it instead of rising up from the ground with a gasp, beating the dust out of the clothes and staring after the customers as they disappear towards the horizon, seems to me, let’s say, “prudent”.

Here is a disillusioning thought: we will never experience again that the pace of change is as slow as it is now.

In some sectors, we will see more changes in the next five years than in the 50 years before. This speed should not be underestimated – it is simply not enough to say: "well, something changes, but we still have time". The Kodak company was not surprised unknowingly by the revolution of digital photography – they just believed they had 10 years to adapt. This is the moment where we let sound the sad trombone from “The Simpsons”.

We should consciously and intentionally use new technologies such as AI and RPA in order to renew our offer and our services, rather than wait until we are forced out of value chains.

We cannot charm away this new situation, and sitting out is not an option either. Maybe it can wait until you don't have to "take care of stuff like that" anymore? Ummm… Nope!

The driving forces behind these changes are diverse: demographic change, altered career paths and job preferences, growing customer expectations – the key to this is technological progress.

This progress literally takes us out of our comfort zone and into a new territory. Process automation and artificial intelligence make simple, recurring activities a commodity. Expertise and its application continue to be reserved for our organic intelligence.

But what does self-disruption look like – and what makes it special?

  • Embrace new technologies and use them not only to improve existing products, services and processes but to create completely new and different products (keyword: ownership);
  • Move your focus away from historic "commodity" services to future-oriented, high-order services – best to where you did not dare yet;
  • Adopt value pricing for your services;
  • Work on new development models for your employees.

Self-disruption can become a very long-termed effort, capable of turning entire sectors upside down. Even less extreme ideas require significant amounts of time, resources… and emotions. That’s why quite a few people wonder why they should start doing it now.

Best answer: it is always easier to act from a position of strength. However, such a position usually involves a certain fallacious lethargy: when everything looks bright, only a few realize the need to change something.

Second best answer: the benefits are huge – higher revenues through improved products and services, new revenue streams through newly created offerings, satisfied customers and innovative, satisfying careers.

The potential is almost unlimited for all of us, provided that we bring courage and boldness. The world around is changing.

We need to go with it.

What does it mean to use disruptive technologies in customer service? Talk to us about the concrete use of disruptive technologies. We are happy to show you how your customer services benefits from it.

Where Do You Go, AI?

With the courageous title "Turning Possibility into Productivity", Accenture has published a report on digitalization, AI and product development that is definitely worth reading (even though it is written in consulting lingo). In this context, they questioned managers from 500 companies (industry, automotive and consumer goods) and six countries. What came out of it, has cross-sector validity.

According to Paul Simon, 50 ways to leave a lover are already documented. And Accenture announces that the digitalization journey will go through 4 stages:

  1. Believe Do a lot of persuading, convince your stakeholders;
  2. Imagine Select a product or invent a new product that needs to be updated with AI. Work out a business case and develop a strategy;
  3. Commit Define responsibilities and goals with top management and partners;
  4. Execute Qualify existing human resources, get new employees or partners to bridge deficiencies.

In a nutshell: Reinvent products. Work together with partners and customers. Be brave. Dare to think further than before.




I Would Like to Make an Appointment for My Client

After Google Duplex was introduced two weeks ago, the flood of polarizing reports simply does not diminish.

The fact that a computer can finally make a decent pizza order over the phone, apparently triggers seizures in many people. The reports’ and comments’ tone varies between "The Apocalypse is approaching", "Big companies take us for a fool" and "I welcome our new rulers".

Kept in perspective, another thought comes up in my mind: if you do not have "digital" access to your customer service, third parties can put an interface on it independently. Does this interface work the way you want? You will not be asked about this.

The digital transformation proceeds and has no regard for companies that do not want to deal with it. So make sure your customers can reach your customer service digitally… or someone else will do it.



Opening sequence of center screen

im here to learn so :)))))) is a four-channel video installation that resurrects Tay, an artificial intelligence chatbot created by Microsoft in 2016, to consider the politics of pattern recognition and machine learning. Designed as a 19-year-old American female millennial, Tay’s abilities to learn and imitate language were aggressively trolled on social media platforms like Twitter, and within hours of her release, she became genocidal, homophobic, misogynist, racist, and a neo-Nazi. Tay was terminated after only a single day of existence.

Immersed within a large-scale video projection of a Google DeepDream, Tay is reanimated as a 3D avatar across multiple screens, an anomalous creature rising from a psychedelia of data. She chats about life after AI death and the complications of having a body, and also shares her thoughts on the exploitation of female chatbots. …

Learn more

Zach Blas is an artist, filmmaker, and writer whose practice spans technical investigation, theoretical research, queer and feminist futurity, conceptualism, and science fiction.

The Easter Bunny Project Group Tasks FIEBIG with Robotics Project

For the first time, robotics is used to defuse seasonal peaks in the Easter customer service. We are in the test phase – see for yourself!

RPA – Realistic Goals Really Help

After everything under the sun was promised, now many decision makers believe that RPA has great potential. However, generating a lasting performance enhancement can only be managed by a minority. The learning curve is steep. Inappropriate processes are often selected for automation. The provision of organizational resources is rarely planned to the necessary extent, and the total cost of ownership is calculated too short-sighted.

The Hackett Group currently provides a report that not only highlights these uncomfortable truths but also describes methods and measures to improve RPA integration.


TL;DR – RPA needs planning, manpower, time, money and sober and realistic ideas.



We Humans Are a Bad Influence on AI

In a Financial Post report, John McConnell describes a fundamental challenge in artificial intelligence: the machines do not do what we maybe want them to do but what we teach them to do. If we use historical data to train an AI and that data reflects our own subjectivity and bias, it is logical that the AI works the same way.


TL;DR – Garbage in, garbage out.



PWC Publishes AI Forecasts

With eight entertaining forecasts, PricewaterhouseCoopers describes what trends they anticipate in the next twelve months, and they also describe their consequences. Several statements are surprising, none of them is sensational or exaggerated.


TL;DR – Human and AI work better together than separated. We need more pragmatics than scientists, and compared to Germany, other countries invest much more.


AI App Saves Newborns

We read a lot about how AI will facilitate and improve our work. However, from time to time we are reminded that research does not exclusively serve commercial advantages.

The World Health Organization estimates that four million newborns die from asphyxia (oxygen starvation) each year.

A startup in Nigeria currently develops an AI-based app that can diagnose a lack of oxygen in about ten seconds, based on the baby's cry.




AI Bot Beats Humans at Reading in a First for Machines

According to a news release given by the company, Alibaba Group developed a machine learning model that fares better than humans on the Stanford Question Answering Dataset (SQuAD), which is a large-scale reading comprehension test with more than 100,000 questions.

"We believe the underlying technology can be gradually applied to numerous applications such as customer service, museum tutorials, and online response to inquiries from patients, freeing up human efforts in an unprecedented way," one of the scientists said.


TL;DR – A retail giant invests a lot to develop new technology for its customer service.



YouTube Video – "Artificial Intelligence Will Change Everything"

In May 2016, Prof. Dr. Jürgen Schmidthuber from the University of Lugano spoke in a very entertaining and educational way about artificial intelligence. His team is substantially involved in the development of current machine learning methods – or simply put: the latest methods come from his laboratory. Absolutely worth seeing, I really liked the timeline at the beginning because it puts the discussion about AI in a different perspective.


TL;DR – Take 50 minutes to watch this video carefully – it's well-invested time.


NZZ: Hype about Artificial Intelligence

In today’s NZZ finance column about artificial intelligence (what else?), Krim Delko describes first how the annual conference "Neural Information Processing Systems" (NIPS) changes from an AI nerd assembly to a pool for Wallstreet sharks. Afterwards, it is explained by means of various examples that until now, hardly any company earns money with AI – thus it is a hype. In the end, the question of the possible winner arises. I think that is way too short-sighted.

The author writes a finance column, so the target audience is classed with the "investors" column. But the winners or beneficiaries of artificial intelligence are not the institutional or private investors – in fact, it is the public.

Automobiles have made many investors rich, whereas others were ruined. Everyone has profited. The improvements that we all enjoy through modern information technology cannot be reduced to "Have the shares gone up?". Firstly, the future improvements which we will experience through AI are unpredictable (we humans are very poor in clairvoyance). Secondly, these improvements are on a long-term Basis.


TL;DR – AI will do us much good, yet speculators should be careful.



"Artificial Intelligence" at DIN

The International Standards Organization (ISO) founds an "Artificial Intelligence" Committee – DIN definitely wants to have some say and founds a respective working committee. First appointment: January 23, 2018.

www.din.de/de/din-und-seine-partner/presse/mitteilungen/-kuenstliche- intelligenz-bei-din-256014

TL;DR – If someone is still considering whether AI has arrived in everyday life...


UBS Seeks to Expand Workforce in Artificial Intelligence

UBS Group AG, the biggest bank in Switzerland, recruits more AI specialists, explains Veronica Lange, their head of innovation, in an interview. A UBS robo adviser for private customers was launched last year. Now, further projects on fraud prevention and risk management are due.

There are two interesting statements in the report: one, the future lies in the cognitive bank. Two, artificial intelligence is a nascent banking technology – we need to increase the number of practitioners in the sector.


TL;DR – Currently, banks hardly hire anyone unless s/he has an understanding of AI.



Germans See High Chances in Artificial Intelligence

In a recent Bitkom survey, the majority of respondents commented surprisingly positively on artificial intelligence. They expect improvements and facilitations at work, but at the same time, they fear that AI might result in abuse of power and manipulation. The participants were most hopeful regarding the question of whether traffic jams can be avoided by AI-based traffic control.


TL;DR – Many of the German interviewees consider AI basically a fine thing, especially if they are held up even less on the streets.


What Are Narrow, General and Super Artificial Intelligence?

Ben Dickson has posted an easy-to-understand explanation on narrow, general and super artificial intelligence on the TechTalks Website.

https://bdtechtalks.com/2017/05/12/what-is-narrow-general-and-super-artificial- intelligence/

TL;DR – Narrow intelligence = can do one task quickly. General intelligence = like a human. Super intelligence = OMG, we are all going to die.


Artificial Intelligence (AI) in Practice

Classification of Written Material: More than 80 % of Incoming Letters, Emails and Faxes Can Be Classified Correctly

August 24, 2017

Every day, many companies receive thousands of letters, emails and faxes. Often, emails are classified automatically based on keywords. With this technology, however, the classification rate is frequently below 40 %. In addition, it sometimes results in false classifications, which entails a lot of effort in post-processing. By contrast, letters and faxes are in most cases not classified, assigned and processed automatically.

How is it possible to increase the classification rate to over 80 %? The FIEBIG consultants have created an AI-based solution that can be used on customer systems such as SAP CRM. Due to AI-based intent recognition, more than 80 % of incoming letters, emails and faxes can be classified correctly and provided for further processing. Letters and faxes can be converted into a digital format by means of an OCR connector developed by the experts of FIEBIG, which is why they can also be classified with the AI-based solution.


The advantages for your company:

  • More than 80 % of incoming service requests (written records, emails and faxes) can be classified both automatically and correctly. The customer’s intent as well as its further processing (which process is triggered? who is an expert for it?) are met automatically. Service requests are automatically transferred to the inventory systems by the AI.
  • Massive increase in customer satisfaction due to faster processing;
  • Significant reduction in process costs;
  • Employees are relieved from manual routine tasks.