AI Solutions & Automation
Not an abstract "artificial intelligence," but a solution to your company's specific task — a chatbot, document automation, data analytics, or computer vision. From idea and audit to a working solution built into your processes.
Years of IT project and data management experience — now applied to bringing AI into business processes.
If your team manually answers repetitive questions, sorts through requests, or retypes data from one document into another, that's a cost that grows with your business. AI takes over the repetitive part, so people can focus on what actually needs a decision.
Decisions based on incomplete or outdated data analysis usually cost more than a modest AI pilot that does the same analysis faster and more consistently. This isn't about replacing people — it's about making decisions on current data instead of gut feeling.
If you only have one-off tasks or a small volume of requests, a pilot AI project probably won't pay off yet — and that's fine. But if you have a repetitive process at a noticeable volume, it's almost always worth running the numbers. The fastest way to find out is a chat with the AI assistant or the brief — no obligations.
Ask the AI assistant right now — it'll ask a couple of clarifying questions and suggest a direction. If your task is already clear, go straight to the brief.
It depends on the task, the amount of data, and the implementation approach. After a short audit in the brief or chat, I give you a ballpark figure — giving one blind wouldn't be honest.
Usually a working prototype can be shown before investing in full development. Final timelines depend on how complex the integration with your systems is.
That's exactly what the audit stage is for. If data is scarce or not ready, that also shapes the plan — for example, starting with data collection instead of model development.
The brief accounts for the nature of your data upfront — regular, personal (where GDPR/152-FZ applies), or trade secrets — and this is fixed before work begins. Sensitive data is encrypted in transit (HTTPS/TLS) and at rest, with access limited to the people working on the project.
Yes: cloud, your own server, or my recommendation for what fits your task and data requirements.
Not always, and not necessarily right now. If you have a repetitive manual process at a noticeable volume, it's worth running the numbers. If not, I'll say honestly that it's too early.
Describe your situation to the AI assistant in chat, or fill out the "AI Solutions" brief — Ivan will contact you to discuss details and scope.