We analyze the way of working, the data, the exceptions and the risks. Then we show whether the right next step is AI, automation, integration, an application or a simpler process change.
If AI is not the best first step, we point to a concrete alternative: a test on one document type, a trial connection between two systems, a panel mockup or a limited first application version.
What does AI consulting for companies actually cover?
This service is for companies that see the potential of AI but do not want to start with a large, risky implementation. We help choose the first concrete process that can be checked safely.
- there is a lot of manual work around documents, email, spreadsheets or reports,
- the team repeats the same tasks and answers,
- data is scattered between systems,
- the company has tested AI but without a clear process,
Typical problems we analyze
Documents and data
Invoices, PDFs, forms, scans, photos or attachments require manual reading, retyping and checking.
Email and communication
The team answers similar questions, classifies inquiries, searches for information and prepares repetitive replies.
Spreadsheets and reporting
Statuses, tasks, KPI, summaries and reports depend on manual spreadsheet updates.
Systems and integrations
Data moves between CRM, ERP, email, forms, files and reports, but it does not create one controlled process.
What do we check before recommending AI?
- which process generates manual work,
- what data is available,
- what the quality of documents, files and descriptions is,
- where exceptions appear,
- which decisions must remain with a human,
The goal of the diagnosis is not to find a place where “AI can be used”. The goal is to identify a process where technology can realistically help the company.
What do you get at the end?
- a clear recommendation for the first step,
- visibility into risks, exceptions and data that needs cleanup,
- a decision on whether to start with AI, OCR, automation or an application,
- a small scope that can be tested without a large rollout.
AI is not always the best answer
After the analysis it may turn out that AI makes sense. It may also turn out that a simpler automation, cleaner data, system integration, a dashboard or a web application will deliver a better result.
- AI for classifying messages, documents or tickets,
- AI for drafting replies or summaries,
- OCR for reading data from documents,
- automation of repetitive steps,
- integration of systems and data sources,
- a KPI dashboard or operational report,
- a web application to handle the process,
- cleanup of the existing spreadsheet or workflow,
- postponing AI until the data or the process is improved.
What does the first step look like?
- 1. You describe the problem - a short description of the process that currently takes too much time or needs manual control is enough.
- 2. We choose the area to review - we do not analyze the whole company at once. We choose one process that has business value.
- 3. We review the data and exceptions - we assess whether the data is available, repeatable and sufficient for AI, OCR, integration or automation.
- 4. We recommend the first step - we indicate whether it is worth starting with AI, automation, OCR, a dashboard, an application or process cleanup.
- 5. You decide whether to run a pilot - if the scope makes sense, you can move to a small test without a large implementation.
What do we not do in AI consulting?
- We do not promise that AI will solve every problem.
- We do not recommend a large implementation without checking the process first.
- We do not require access to CRM, ERP, email or documents at the initial diagnosis stage.
- We do not implement AI where a simpler solution is enough.
- We do not replace human decisions in high-risk processes without a control mechanism.
What can a process analysis establish?
The exact scope depends on the selected engagement stage. The Starter Analysis has the limited scope described above.
- an indication of the process worth starting with,
- an assessment of whether AI makes sense,
- an alternative to AI if automation, OCR or integration is the better option,
- a list of data needed for the pilot,
- identification of the main risks,
- a recommendation for a small test scope,
- a proposal for the next step.
Related areas
Related projects
Not sure whether AI makes sense in your company?
Describe the way of working that still requires manual data retyping, status control or handling across several systems. We will check whether it makes sense to start with analysis of one process, a trial system connection, a panel mockup, OCR or a first application version.
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