Frequently Asked Questions

Sometimes, but complete automation isn't always desirable. We identify which steps can run automatically and where human review or approval should remain.

If those systems provide suitable APIs or integration methods, we can connect them to automated workflows and AI applications.

Yes. In many cases, AI functionality can be integrated into an existing website, web application or internal system without rebuilding the entire product.

Yes. Depending on the requirement, we can build a RAG-based knowledge assistant that retrieves relevant information from approved business content before generating an answer.

Usually not. Many applications can use established AI models through APIs and combine them with your own business logic, data and application layer.

A focused proof of concept can be delivered much faster than a production system involving multiple integrations, dashboards, user roles and complex workflows. We define the scope before estimating the development timeline.

It depends on the workflow, integrations, AI usage, data requirements and amount of custom development involved. A focused automation costs considerably less than a complete AI-enabled product.

Security depends on the architecture, providers and data being processed. We design the solution around appropriate access controls, data handling and provider configurations, and discuss sensitive-data requirements before implementation.

AI automation combines artificial intelligence with software workflows to reduce repetitive manual work. AI can handle less structured information such as documents, messages or enquiries, while conventional automation handles predictable actions.

A chatbot primarily holds a conversation. An AI agent can also use approved tools, APIs and business data to perform actions as part of a workflow.