While 95% of companies in the world are still not getting measurable benefits from AI deployments (MIT The GenAI Divide), Inteca shows how to break this deadlock. By fully incorporating AI into its daily work—from document analysis to testing and deployment—the company has increased team productivity by up to 80%, and 95% of documentation and code is now generated by AI.
How to break the global deadlock?
“The problem with the implementation of artificial intelligence does not lie in the technology itself, but in the way AI is incorporated into the daily work of teams,” says Habte Woldu, CEO of Inteca. “AI often works next to humans instead of with them. It increases the productivity of individuals, but it does not translate into the efficiency of entire organizations. There is a lack of consistency, standardization and the ability to learn in the context of real operational practices.”
As the MIT report The GenAI Divide – State of AI in Business 2025 shows, as many as 95% of companies do not get real benefits from AI implementations, despite the fact that global investments in this technology reach tens of billions of dollars.
The DORA State of AI-assisted Software Development study with more than 5,000 IT specialists draws similar conclusions – the success of AI is determined not by the tool, but by the way it is embedded in the organization: in processes, collaboration, and workflows.
Inteca understood this earlier than most companies. Instead of focusing on testing individual tools, it treated AI as an element of the organization’s operating system – teaching it to work repeatedly, efficiently and shared with people. From this experience, technology was born that can help other companies break the global deadlock in the use of artificial intelligence.
From experiments to a new model of work
When Inteca started its adventure with AI, the goal was not to create another tool. It was about something deeper — understanding how to incorporate artificial intelligence into the real work of teams, and not just experiments on the margins of everyday duties.
“When we decided to implement AI, we did not focus only on the effective use of tools. From the beginning, we wanted to go a step further – teach AI how to work with us: repetitively, in context and together with humans,” explains Habte Woldu.
The first effects were surprising. Within a few months, AI began to support almost all stages of the software development cycle.
“Today, the way we create solutions can be compared to an intelligent production line,” adds Marcin Parczewski, the second of Inteca’s CEOs. “The process has been automated from the moment the idea is created, through design and architecture, to testing and implementation. AI not only performs individual tasks, but coordinates the entire process – it analyzes, designs, programs, tests and learns on the fly.”
Inteca no longer employs classic programmers, but software engineers who oversee the entire AI workflow – just like production engineers in a factory. Their job is no longer to write code, but to understand the logic of the product, make decisions, and verify the results. “People are still at the center of the process, only their role is changing. AI takes over repetitive activities, and we focus on design, decisions, and quality control. For some people, it was a difficult change, but most quickly saw it as an opportunity for development,” adds Marcin Parczewski.
This transformation showed something that you don’t see in the reports: automation doesn’t mean the end of work, but its evolution. To supervise AI, you need to understand the entire context of the project, be able to think systemically and act interdisciplinary.
Over time, Inteca noticed that as AI tools evolved, so did the complexity of work. It was necessary to find a way to bring everything together – so that different models, agents and automations work in a single, cohesive ecosystem. This is how the idea for a platform was born, which allows you to standardize the cooperation of people and AI, automate work and achieve repeatable business effects on the scale of the entire organization.
From action automation to effects automation
What is happening in technology today is reminiscent of the second industrial revolution – only digital. The first was powered by a production line, which allowed to control repeatability and quality. The second is powered by artificial intelligence, which brings intelligent automation to work – flexible, contextual and shared between man and machine.
“Traditional automation works well where conditions are stable and the result always looks the same – like on the production line. But in the work of IT teams or other expert circles, the reality is too dynamic. It is impossible to program everything in advance,” explains Habte Woldu. “That is why we have moved from automating activities to automating effects. It’s no longer about the algorithm performing the same steps, but about achieving the intended result – even if the path to it looks different every time.”
In this approach, artificial intelligence does not replace humans, but becomes their partner. It operates as part of the so-called agentic teams – teams consisting of people and AI agents who jointly carry out tasks, exchanging knowledge, context and responsibility.
This changes the way we think about automation: instead of designing algorithms to control behavior, a work environment is designed in which AI can act purposefully and in accordance with the business context.
Intelligent workflow
This is how PractIQ was born – an AI platform for automating work, which allows you to “inject” artificial intelligence into the daily operational practices of an organization. Not as an external add-on, but as an integral part of the work of teams. AI becomes part of the process – it can analyze documentation, propose solutions, test, report and learn from the organization’s experience.
“We wanted AI to work inside processes, not next to them. To be able to work like people – with context, intention and responsibility for the effect. PractIQ is the environment that enables such cooperation between humans and AI on the scale of the entire organization,” says Marcin Parczewski.
The platform brings together people, knowledge, and AI agents into a single, coherent system. Thanks to this, companies can not only automate repetitive tasks, but above all automate business results – faster, more precisely and in accordance with the operational context.
Repeatable results
The AI revolution is no longer about experimenting with models or creating increasingly powerful algorithms. Its true direction is set by how effectively organizations can combine people, knowledge and artificial intelligence into one coherent system of work.
PractIQ allows companies to take the first step and go in that direction – moving from automating activities to automating effects. It standardizes the way you work with AI, supports the integration of multiple tools, and enables the creation of environments where people and AI agents can work together, sharing context and responsibility.
“Today, it is not enough to use AI – you have to teach it to work. Not only to execute commands, but to understand the intention, context, and expected outcome. This is the moment when artificial intelligence really becomes part of the organization,” concludes Habte Woldu. “PractIQ was created to enable this collaboration – in a scalable, repeatable and measurable way.”
In a world where 95% of companies still can’t get real benefits from AI implementations, the history of Inteca shows that the key to success lies not in the technology itself, but in how it is used. In how AI can work with humans, not replace them.
