Turn your tech investment into real value, not just an expensive toy.
Let's stop talking about Artificial Intelligence. Let's talk about
The Digital Paradox - Companies spend hundreds of thousands on transformation, yet their best talent still spends hours copy-pasting data to Excel.
We see it every day. Companies don't need more AI.
Working with companies, we often observe a barrier we call the ceiling effect. Growth ambitions collide here with the reality of teams overwhelmed by manual work – whether in customer service, searching for information in knowledge bases, or transcribing data.
Most companies, when thinking about automation, focus on saving time or cutting employment costs. That's natural.
After implementing systems for our clients, we discovered that the real problem lies elsewhere. The problem is not the cost of manual work itself. Often, relying on manual work is no longer just inefficient. It's a strategic risk. A manual process is a potential source of error, a barrier to growth, and – most importantly – a black hole when it comes to data.
The Real Picture
The Cost of Distraction
According to research from the University of California, after being interrupted from a task (e.g., to enter data into a system), an employee needs an average of 23 minutes and 15 seconds to return to full focus on the original problem¹.
The Plague of Work About Work
The Anatomy of Work report (Asana) indicates that knowledge workers spend as much as 60% of their time on 'work coordination' (searching for information, responding to status updates, manually entering data), and only 40% on substantive work for which they were hired².
Inevitable Errors
Even the most focused person is not a machine. Research by Prof. Panko (University of Hawaii) proves that when manually entering data into spreadsheets, errors occur in 1% to 5% of all cells. On an annual scale, this means hundreds of erroneous decisions based on falsified data³.
The Potential of AI
McKinsey Global Institute estimates that half (50%) of current work activities can be automated using technologies available today⁴. Not in 10 years. Today.
While a competitor's team loses 23 minutes regaining focus after manually generating a report, your algorithm can do this work in 0.5 seconds, flawlessly and without fatigue. At Ynots.ai, we don't remove people. We remove repetitive tasks from their work, allowing them to return to what they're irreplaceable at – thinking, relationships, and strategy.
Our Approach to Cooperation: Strategy First, Then Technology
We Start with Analysis - Our partnership never begins with creating software, nor with presenting ready-made solutions. We understand that the key to success lies in thorough analysis.
Detailed Diagnosis
We begin our cooperation with a detailed diagnosis of processes where you see the greatest potential for automation. We want to identify those areas that:
- • Generate the most errors.
- • Cause the greatest frustration in the team.
- • Represent the biggest barrier to growth.
Smart Technology Selection
We always thoroughly assess whether writing dedicated software is even necessary.
Sometimes it's more efficient to leverage existing market solutions rather than building your own system from scratch.
As part of our consulting, we help select and implement tools that ensure excellent integration with your company's entire technological ecosystem.
Strategic Digital Transformation
We help you wisely plan your entire digital transformation. Our strategy is based on the principle of 'quick wins':
- • We start with pilot implementations that will bring quick return on investment and tangibly prove the value of technology.
- • After gaining trust in the solution, we implement the full deployment, moving on to optimize and automate subsequent processes.
- • Our goal is not to sell you AI, but to build a more efficient company for you using technology.
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