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An AI solution for businesses is software that uses artificial intelligence to solve a specific business problem, such as automating a manual process or supporting decisions with data, integrated into the systems the company already uses.

RPA executes fixed, repetitive rules reliably. Artificial intelligence handles what has no clear rule: it interprets, generates content or makes decisions. WYnova combines the two, with rules where they matter and AI where judgement is required.

An AI agent is a system that carries out tasks autonomously within defined limits: it reads the context, decides the steps and acts in the right tools, with human validation at critical points.

An LLM (large language model) is a language model trained on large volumes of text. In a business, it is used to generate and summarise content, classify information, answer questions based on internal documentation and run AI agents.

No single model is best in every case. WYnova is model-agnostic and chooses the most suitable model for each case in terms of quality, cost and security. Claude is currently the main AI layer in its solutions.

The cost depends on the scope. WYnova begins with a low-risk validation phase that defines the investment before any development decision is made.

It depends on the scope. A first automated process typically reaches production within a few weeks, and a custom-built MVP within 8 to 12 weeks, with go/no-go decision points between phases.

No. WYnova integrates AI into existing systems through MCP and connectors, without migrations.

Yes. Security is built in by design: private tenants where required, access control and an audit trail. WYnova is ISO/IEC 27001 certified and data remains under the client's control.

The first step is a 30-minute meeting about the business challenge. WYnova validates feasibility, develops the solution, either custom-built or based on one of its products, and supports it through to production, with no vendor lock-in.