Previous global trends allowed for fairly easy forecasting of a company's profitability, based on the assumption that increasing employment is a direct consequence of an organisation's growth. Such a traditional model naturally involves generating growing coordination costs and errors resulting from the dispersion of information. The way out of this vicious circle is becoming a trend of a new business architecture that, despite focusing on increasing the scale of operations, keeps fixed costs at their existing level.

From executor to process manager

At Tesserakt we profess a very simple principle – team development is crucial, provided that the employee's role can evolve along with technology. Attempting to achieve scale by linearly increasing headcount in purely mechanical areas is economically inefficient today. Every new position in the traditional model is another communication node that can slow down the flow of information within the organisation. True company optimisation consists in shifting the team from execution positions to verification and design positions (the performance of the entire system is limited by its slowest element). In a modern company, that element should no longer be repetitive manual work, but only the final strategic decision of a human.

The end of the era of manpower – AI navigators

An AI navigator is a specialist who can translate business goals into instructions for autonomous systems. Their task is not to prepare a single report, but to design a process that delivers data in real time. As a result, the company can scale operations by orders of magnitude without increasing the number of positions.

An example of a process change:

Agentic AI: terminal vs. browser

Most companies perceive artificial intelligence as just another tab open in a browser. This approach, although simple to start with, becomes a bottleneck when trying to achieve scale. True efficiency begins where AI has direct access to the company's "operating system" – its files, databases and technical documentation, without the mediation of a graphical interface.

Why does the terminal (CLI) beat the chat interface?

As proponents of terminal-based solutions, we emphasise that their implementation translates directly into more efficient process management and much smoother execution of tasks within the organisation. Here are some of the advantages of the CLI:

Elimination of manual data transfer

Working in a browser requires constant copying and pasting of text fragments. An agent working in the terminal (e.g. Gemini CLI) has direct insight into the entire folder structure. It can search through thousands of PDF files, spreadsheets and system logs in a fraction of a second, combining facts from different sources without engaging the employee's attention.

Deep context

We use models that can "remember" and analyse the content of all contracts, instructions and project histories of the company simultaneously. This eliminates the problem of forgotten threads and hallucinations, which are the scourge of simple AI chats with low working memory.

Parallel tasks

From the terminal level we can launch many agents simultaneously. While one verifies the correctness of invoices in Google Sheets, another can prepare report drafts based on that data, and a third can check their compliance with the company's security procedures.

Three pillars of scanning: tools for working with data

Instead of implementing dozens of random applications, we ourselves bet on three solutions that address specific bottlenecks in the scaling process.

NotebookLM (Google) – building corporate working memory

One of the main barriers to scaling is the time lost searching for information. The solution? NotebookLM. This free tool allows you to create a closed knowledge ecosystem based solely on your documents (procedures, contracts, notes). Its greatest advantages definitely include the elimination of so-called AI hallucinations. The system answers questions solely on the basis of the uploaded files, providing precise citations. This is the end of questions like "where do I find procedure X?" – the answer is available within seconds for every authorised employee.

Manus AI – an autonomous agent for digital operations

A tool of the general-purpose agent type, which not only answers questions but can independently use a browser and external tools to deliver a ready result. Manus AI minimises the need for manual handling in multi-step processes. If you need a comparison of competitors' prices from 20 different websites entered into a spreadsheet, Manus AI will perform this task autonomously. This allows for the scaling of complex research and administrative operations with minimal expenditure of working time.

Napkin.ai – effective visual communication

Scaling requires clear communication of concepts. Napkin.ai automatically turns textual descriptions of business processes into readable schematics, diagrams and infographics. Instead of engaging a graphics department to create a simple data flow diagram, an employee generates it in seconds from a raw note.

The foundation of digital sovereignty

Effective scaling without a single source of truth leads to only one thing – information chaos. That is why, in our daily work at Tesserakt, the foundation is the combination of Notion's structure with the security of a model operating directly on the company's resources.

Notion as the organisation's operating system

Notion's advanced features allow us to turn this tool into a true information management centre. Efficient scalability even with gigantic data sets is guaranteed by three key aspects:

• Central Agent Register: Every AI agent has precise instructions and a defined scope of responsibility, which eliminates duplication of tasks.
• Procedures as living code: Process documentation is not a dead PDF file. These are relational databases that agents can read and use to verify the correctness of task execution by the team.
• Elimination of silos: Data about clients, projects and operations is connected, which allows for automatic progress reporting without the need to manually rewrite data between spreadsheets.

The Local-First model, or private data infrastructure

The most important element of our architecture is the local working model. Unlike mass tools based solely on the cloud, our agentic systems operate directly on workstations. Below is a list of the three key advantages of the local model.

The end of "copy-paste"

Working in a browser forces constant switching between windows and manual transfer of code or text fragments. An agent operating locally works directly on your files. It can read documentation itself, make corrections in the code and run tests without a single mouse click. This saves hundreds of hours a year on simple administrative activities.

Orchestration of local tools

An agent working locally can use system tools – from searching files, through version control, all the way to running automation scripts in Python. AI does not just "say" what should be done, but actually does it, using your infrastructure.

Operational context

Cloud systems are isolated from the current task. A local model "sees" which folder you are working in, what environment variables you have and what the current structure of your project is. As a result, the answers are precisely tailored to the actual state of work, rather than to the model's general assumptions.

The profitability of transformation

Scaling a business in the agentic model is primarily about building operational leverage. In a traditional structure, every percentage point of revenue growth is burdened with the cost of new positions, equipment or management processes. Our working scheme allows this dependency to be reversed. Thanks to the automation of data aggregation and delegating verification processes to AI agents, a single employee is able to manage a volume of work that would previously have required a multi-person department. Implementing agentic technologies is not an end in itself. The goal is to build an organisation that can grow by leaps and bounds while retaining the lightness of its structure and the precision of its decisions.

To make it easier for you to navigate the thicket of available solutions and avoid investing in tools that bring no real value, we have launched our latest project: AIMapa.pl (https://aimapa.pl/). It is a comprehensive guide to proven AI technologies that allows you to precisely match tools to the specifics of your company's operational processes, eliminating the stage of costly and misguided implementations. This is where smart scaling begins.

Do you need agentic scaling experts in your company? Combine the precision and speed of technology with your business strategy

Get in touch. Let's start working together!