The problem

Lots of noise, few concrete results

"Everyone is talking about AI, but I don't know where to start in my business." Most SME owners we meet have already tried an AI tool or two. Curiosity is rarely missing; what is often missing is a clear link between the technology and a specific problem in the business.

Poorly targeted AI becomes one more gadget. Applied well, it handles the tasks where information arrives in free form: emails, documents, customer requests. That is where it complements classic automation, which shines when rules are clear and data is well structured.

What we build

AI in service of a process, not the other way around

Before

Emails and documents read and sorted by hand
Information copied from PDFs into your systems
AI tools tried with no link to your processes
Uncertainty about what is realistic and profitable

After

Data extracted automatically from emails and documents
Information placed directly in your business tools
Use cases chosen for their concrete impact
A clear roadmap: where AI helps, where simple rules are enough

Start from a real problemWe find the tasks where your team handles unstructured information and where errors or delays are costly.
Pick the right technologyFor each task, we determine whether AI truly adds something or whether classic automation will do.
Build it into your toolsAI is plugged into your existing tools, so results land where your team already works.
Keep a human in the loopUncertain cases go to a person for review: your team always has the final say.

Tools

Built into your environment

AI is only valuable if it fits the way you work. We build it into your existing workflows, orchestrated by Power Automate or Zapier, so it feeds your accounting software, your CRM or your Excel files.

Scope

What's included

A review of the tasks where AI can help your business
Selection of priority use cases based on their return
Implementation and testing on your own emails and documents
Training your team to use the results and validate them
Ongoing guidance to evolve the solutions with your business

How it unfolds

As with every engagement, we start with a free efficiency analysis. The first use cases are chosen to be simple to set up and easy to measure; the next ones build on what worked.

FAQ

Frequently asked questions

Do we need perfect data to use AI?

No. AI is useful precisely for handling loosely structured information, such as emails or documents. We assess with you what is realistic with the data you have today.

Will AI make decisions for us?

We design it to prepare the work, not to decide on its own. Your team stays in control of decisions and exceptions.

Which AI tools do you use?

We are vendor-independent. The choice depends on your current tools, your data and your confidentiality requirements.

Is this only for large companies?

Quite the opposite: our mission is to make AI useful, accessible and profitable for SMEs, without a large investment or disruption.

Where do we start?

With the free efficiency analysis. In about an hour, we identify one or two tasks where AI can make a real difference, and we tell you frankly when simpler automation would do the job.

Keep exploring

Related pages

This automation is often step one. See how we automate an entire operation.

AI for Small Business: Practical AI Automation for SMEs