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AI for businesses, NGOs and local governments

AI Mapa helps you move from a general interest in artificial intelligence to concrete decisions. It organises the tools, examples and knowledge you need to choose a solution that genuinely fits the way your team works.

Intended for SME, Enterprise, NGO, Administration
Price Free
Industries Industry and engineering, Services and tourism, E-commerce, Logistics and transport
Context

AI doesn't start with a tool

When an organisation starts taking an interest in AI, it quickly runs into dozens of tools and promises of instant transformation. AI Mapa helps you move from a specific task to a solution worth testing — taking into account its use case, cost and implementation method. The platform grows on the basis of hands-on practice from training sessions and workshops, among other things. As a result, the tool descriptions address real questions about data security, implementation time and the team's daily work.
50+
AI tools
100%
knowledge without a paywall
6
filters to narrow your choice
AI Mapa
Challenge

Too many tools, too little context

Access to AI tools is easy today. It is far harder to assess which of them are worth your team's time, how they will work with existing processes, and whether implementing them will create more problems than benefits. Companies, social organisations and public institutions don't need another list of "best apps". They need a starting point that lets them move from a real problem to a small, safe test.

From a problem, not a trend

AI Mapa was created for people who don't want to implement artificial intelligence just because it's trendy. They want to know where it can genuinely help their team.

Mateusz Mieczysław Ciszczoń Technology Specialist at Tesserakt

Too much choice

Hundreds of tools look similar, and their websites often promise more than can actually be used in day-to-day work.

No frame of reference

The same tool can be great for a marketing team and completely useless in customer service, data analysis or the work of a social organisation.

Uncertainty about data

Before using AI, you need to ask questions about privacy, data access, licences, costs and responsibility for the results generated by the tool.

Aimless tests

Many teams start with a random experiment and give up quickly because they didn't decide in advance what was to be improved and how to recognise the effect.

Solution

A catalog that leads to a decision

AI Mapa combines a tool catalog, educational articles and a newsletter into one place where you can begin consciously exploring AI. It doesn't replace an analysis of your organisation or promise automatic transformation. It does help you identify the first area to work on, find the right tool and prepare a sensible test. The catalog lets you compare solutions in terms of use case, cost, licence and level of complexity. Articles and the newsletter add the necessary context, and the tool examples are also developed on the basis of experience from the workshops and training sessions we run. As a result, AI Mapa is not a closed list of apps, but a starting point for further, practical work with AI.

Technologies used

AI Mapa was built as a lightweight, fast-loading content platform that can be developed along with more tools, materials and use cases. Technology here is meant first and foremost to serve convenient knowledge search, not to complicate a simple task: finding a solution for a specific need.

How the product works

AI Mapa guides the user from the task they want to improve to a tool or material they can start their first test with. There is no need to know model names or have a ready AI strategy.

1

Name the task you want to improve

The starting point can be repetitive administrative work, content preparation, research, information analysis, contacting audiences, or organising knowledge within the team.

Step 1
2

Narrow the catalog down to real options

Filters help you choose tools that match your goal, use case, budget, type of licence and level of complexity. As a result, the user doesn't have to compare all solutions at once.

Step 2
3

Choose a small test and check the result

Instead of starting with a large implementation, you can test one tool on a specific task. After such a test, it's easier to decide whether the solution is worth developing, changing or rejecting.

Step 3
Results

Fewer blind experiments, more conscious tests

1

task for the first test

AI Mapa helps you start with a single process that can realistically be tested in a short time, without rebuilding the whole organisation.

3 perspectives

companies, NGOs and local governments

The platform shows AI in the context of different ways of working — from business growth, through social initiatives, to tasks carried out by public institutions.

1 goal

a measurable effect

The point of reference is not the mere use of a new app, but time savings, better quality of work or a simpler way of performing a specific task.

1 decision

after every test

After testing a tool, the team can consciously decide: we develop the solution, we change our approach, or we don't invest in it any further.

The most important result is not simply finding a new app. It is a better decision about where artificial intelligence can bring value now, and where an organisation should first organise its process, data or way of working. AI Mapa helps you treat AI as a tool for solving specific problems — not as a mandatory trend that must be implemented at all costs.

A small step first

A good AI implementation doesn't have to start with a grand strategy. Often one well-chosen task, a clear success criterion and a willingness to draw conclusions from the test are enough.

Mateusz Mieczysław Ciszczoń Technology Specialist at Tesserakt
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