Faster, better, happier: why companies should get started with AI now

What current studies reveal about the leap in performance through AI - and why now is the right time for professional AI consulting.

Faster, better, happier - but how?

While many companies are still thinking about AI, others are already making the leap forward.

Studies prove: Those who rely on professional AI consulting now will benefit from measurable productivity gains, higher employee satisfaction and a real competitive advantage. However, the key lies not in the technology alone - but in the right implementation. Find out here why now is the perfect time to get started.

💡 One employee with AI = two without

One of the most impressive studies to date on collaboration between humans and AI comes directly from the field: Procter & Gamble conducted a large-scale study with 776 professionals to investigate the impact of GPT-4 on performance - and the results speak for themselves.

The study was conducted in one-day workshops. The participants - all commercial or technical experts - were asked to develop new product ideas for various business areas in teams of two or on their own. Half of them were given access to GPT-4 or GPT-4o.

The results at a glance:

  • Individuals without AI performed significantly worse than classic teams of two - their gap was -0.24 standard deviations.
  • Individuals with AI support, however, were able to not only compensate for this disadvantage, but even slightly exceed it: they improved their performance by +0.37 standard deviations.
  • This means that a single person with GPT-4 is just as efficient as two people without it.
  • Teams with AI performed even better: They achieved +0.39 standard deviations - however, the difference to individuals with AI was not statistically significant.
  • Particularly striking: Teams with AI were three times more likely to submit a solution in the top 10% - a clear indication of the creative excellence of human-AI combinations.
  • And all this with up to 16% time savings - without compromising on quality.

📈 AI increases productivity - and measurably so

Many people assume that AI makes work easier - but there is now multiple evidence that it brings concrete, measurable productivity benefits. One of the most revealing studies comes from Brynjolfsson, Li and Raymond (2023), who analysed the effects of an AI-based chatbot in live operation in a large-scale field study with 5,172 customer service employees.

The result: a leap in efficiency that is impressive.

  • The introduction of the AI assistance system led to a productivity increase of 14-15% - per employee.
  • In concrete terms, this improvement meant: more enquiries processed per hour, shorter processing times per case and faster training for new colleagues.
  • The less experienced employees in particular made significant gains: they benefited disproportionately strongly from AI support - and were suddenly working on an equal footing with experienced colleagues.
  • The experienced employees, on the other hand, showed hardly any increase in performance, which is also an important finding: AI helps most where know-how is lacking or still needs to be built up.

The leverage is huge - if you use it correctly

You can think of it like a built-in co-pilot: it provides you with the right information in real time, suggests solutions and takes care of the annoying small stuff for you.
The result: you can concentrate on the essentials - and end up being more productive, faster and less stressed.

And that's not just a snapshot. The study shows:
This productivity boost is stable and sustainable.

In the next step, we will look at how this effect impacts not only the quantity, but also the quality of the results - a point that many underestimate, but which is crucial in AI practice.

✅More quality, fewer errors

Working faster is good - but what's the point if quality suffers in the process? Exactly the opposite is the case. Studies show that AI not only increases efficiency, but also the quality of work - and significantly so.

A good example of this is the same large-scale customer service study by Brynjolfsson et al. that analysed over 5,000 employees. It showed not only an increase in productivity, but also a clear gain in quality:

More successful customer solutions

  • The completion rate of customer enquiries increased measurably as soon as employees were supported by an AI-supported system.
  • The AI assistant helped to provide more consistent, more complete and more customer-centred answers.
  • The number of queries was reduced, especially for more complex issues - because the right information was provided directly, without long searches or guesswork.
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In short: communication became clearer, more targeted and more successful.

Higher task accuracy - internally and externally

Studies have also shown that AI can reduce the error rate in knowledge-intensive tasks.

A study with an internal company chatbot shows that employees who actively used AI had a significantly higher accuracy when solving internal tasks than their colleagues without AI support.

This is not because AI is perfect - but because it repeatedly encourages users to think systematically, not to forget anything and to check information in a structured way.

In practice, this means:

  • Fewer careless mistakes
  • More consistent formulations
  • Less rework
  • Fewer escalations

Subjective perception: quality increases noticeably

The subjective assessment is also in line with the hard figures. According to a Deloitte study:

  • 45% of respondents said that AI perceptibly improves the quality of their work
  • 63% reported that they work more efficiently
  • thanks to AI

  • The most frequently cited reason:

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    I have more time to focus on the actual content.

And that is precisely the crucial point:
When routine processes are automated and information is available at the touch of a button, there is room for what really matters: depth of content, creative solutions, strategic thinking.

😌 More motivation, less stress

Many people fear that AI will create additional pressure in everyday working life: new tools, new processes, new uncertainty. But the data tells a completely different story. Studies clearly show that AI doesn't make everyday working life harder - it makes it easier. And people feel that too.

More task satisfaction through AI support

An experimental study with 196 participants (Hemmer et al., 2023) investigated the effect of AI delegation on motivation at work - with astonishing results:

  • The test subjects who were assigned tasks by an AI or worked on them with support showed higher performance and significantly more satisfaction with their work.
  • Interestingly, it did not matter whether the participants were aware that the AI was supporting them or not - the structured process alone had a positive effect.
  • The decisive psychological mechanism:
    The support provided by the AI made the employees feel more competent and confident.

This so-called self-efficacy is a key driver of motivation, commitment and long-term performance.

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When I have the feeling that I am in control of my tasks, I am more motivated, more focused - and do better work.

Less cognitive load, less frustration

AI also scores across the board in terms of stress relief. An A/B test study on the use of a chatbot in business software (Schmidhuber et al., 2021) provided clear findings:

  • Chatbot users experienced significantly less cognitive load while working on their tasks.
  • They reported less frustration, although they sometimes took minimally longer than the control group.
  • Why? Because the bot relieved them of tedious small tasks: searching, summarising, structuring - the digital assistant took care of all that.
    The people were able to concentrate on the essentials.

In short: AI takes pressure off the boiler.

Positive side effect: better cooperation - also with customers

What is often overlooked: The positive effect also spills over to the outside world. The aforementioned customer service study showed:

  • Customers were more polite in their dealings with employees who were supported by AI.
  • There were fewer escalations, fewer frustrated reactions, fewer requests for superiors.

Why? Because the answers were clearer, more structured and quicker. And because the employees seemed more calm and confident - supported by their digital assistant.

Conclusion: AI empowers people - emotionally and cognitively

What you should take away from all this:
AI is not just a productivity booster. It is a feel-good factor.

It helps your teams to focus on what they are good at - and relieves them of the mental baggage that previously led to stress, excessive demands or mistakes.

More self-confidence, less exhaustion.
More focus, less chaos.
More satisfaction - and therefore more loyalty to the company.

These are precisely the prerequisites for a sustainable team - and this is exactly what AI can achieve if it is used correctly.

In the next section, we take a look at why many companies are still not utilising this potential - and how you can do things differently in your company.

🛩️ Many companies are still flying blind

Despite these clear advantages, the reality often looks like this:

  • 61% of office workers are already using AI - mostly without a strategy
  • 26% even without the knowledge of senior management
  • Hardly any clear guidelines, no roadmap, no quality assurance

This is risky. Because unplanned AI use quickly leads to problems - in terms of data protection, reliability of results or employee motivation.

🚀 Conclusion

The studies clearly show that AI increases efficiency, quality and satisfaction - but only if it is used in a targeted and well thought-out manner. This is exactly where I support you. As an AI consultant, I will help you to choose the right tools, automate processes sensibly and develop a sustainable strategy that suits your company. Together, we won't turn AI into a toy, but a real competitive advantage - quickly, pragmatically and sustainably.

This involves very specific questions:

  • Where does AI bring real added value - and where not?
  • Which tools are right for your company?
  • How can you automate processes - without losing control?
  • How do you create trust in the team and build expertise?

I help you to turn potential into real benefits - quickly, pragmatically and sustainably.

💬enquire now

Sources/studies:

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