We help SMEs check where AI can realistically reduce manual work, errors, delays or data chaos. We start with the process, documents, communication and available data, not with choosing a tool.
If AI is not the best first step, we recommend a simpler option: OCR, automation, integration, a dashboard, a web application or process cleanup.
Who is AI consulting for?
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,
- it is unclear whether AI, OCR, automation or an application is needed,
- management wants to assess the business case before a larger investment,
- you need a concrete recommendation for the first step.
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.
No clear starting point
The company knows the process needs improvement but does not know whether to start with AI, automation, OCR, integration or an application.
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,
- what the risks of incorrect AI results are,
- whether OCR, integration, a dashboard or an application is needed,
- whether the process can start with a small pilot.
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.
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 do you receive after the first analysis?
- 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
- Document automation and AI OCR
- Automation, integrations and applications
- Custom web applications
- How we work
Related projects
Not sure whether AI makes sense in your company?
Describe the process that currently requires manual work, control, data retyping or handling across many systems. We will check whether it is worth starting with AI, OCR, automation, integration, a dashboard or simple process cleanup.
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Describe the process to improve ➔