Arcadian Digital

The timeline for AI implementation depends on the complexity of the project and how it integrates with your existing systems. Simple AI tools, like chatbots or workflow automation, can be deployed in a few weeks, while more advanced solutions – such as predictive analytics, custom machine learning models, or AI-driven decision systems – typically take 3 to 6 months.

We break the process into clear phases:

  1. Discovery & Planning (2–4 weeks) – Understanding business needs, assessing data readiness, and defining success metrics.
  2. Development & Integration (4–16 weeks) – Building AI models, integrating with existing systems, and ensuring security and compliance.
  3. Testing & Deployment (4–8 weeks) – Validating AI performance, refining workflows, and training your team for successful adoption.
  4. Optimisation & Support (Ongoing) – Monitoring AI models, retraining as needed, and ensuring long-term efficiency.

During the consultation phase, we’ll outline a customised timeline based on your specific goals and infrastructure to ensure smooth implementation.