How long does it take to implement AI employees?

The honest answer is: it depends on what you are deploying and how complex your business is. A simple AI that handles frequently asked questions for a restaurant might be configured in a few days. An AI employee managing lead qualification, follow-up sequences, appointment booking, and CRM integration for a law firm with ongoing matters will take significantly longer. A realistic implementation timeline for a Cyprus SME deploying a substantive AI employee: Weeks 1-2: Discovery and knowledge base creation. The implementation team maps every category of customer enquiry your business receives, every answer you give, every process the AI needs to understand. This is the hardest part and the most commonly rushed. Businesses that skip this produce AI that knows nothing useful about their specific operation. Weeks 2-4: Build and integration. The AI is configured with your knowledge base and connected to your existing systems, including email, WhatsApp, CRM, and booking platforms. This is technical work that requires precision. Weeks 4-6: Testing and refinement. The AI handles real enquiries in a controlled environment. Edge cases emerge. The knowledge base is updated. Escalation paths are tested. This phase is where most of the quality is built. Weeks 6-8: Live deployment with monitoring. The AI goes live, but with close human monitoring. Any patterns of error are caught and corrected in the first two to four weeks of live operation. What makes implementation take longer: poor documentation of your business processes, integration complexity with legacy systems, a large catalogue of products or services, or the need for multilingual configuration. What makes it faster: a business that can provide clear documentation, has modern software already in place, and has a focused use case with limited scope.