Working with an AI Agency: What to Expect

Working with an AI Agency: What to Expect

If you are working with an AI agency for the first time, you may not know what to expect. This guide describes the typical workflow, transparently, so you are well prepared.

Phase 1: Initial Consultation

The first meeting serves mutual introduction. The AI agency listens, understands your business, and identifies initial starting points for AI. You bring your business knowledge, the agency brings AI expertise. By the end, you have an initial assessment of whether and how AI can help, a rough cost and timeline estimate, and a recommendation for the next step.

Phase 2: Analysis and Concept (1-2 weeks)

In this phase, the agency dives deeper into your business. They analyze the processes to be automated in detail, check data sources and their quality, evaluate the technical landscape, and identify risks and dependencies. The result is a concept document with the detailed solution, timeline, and binding offer.

Phase 3: Implementation (4-12 weeks)

Implementation follows a structured process. In the first weeks, core functionality is built. Integration and tests follow. The agency keeps you regularly updated, typically with weekly status meetings.

Your role in this phase: providing data and system access. Answering domain questions. Testing interim results. Giving feedback.

Phase 4: Test Phase and Go-Live (2-4 weeks)

Before go-live, the solution runs in parallel operation. Your team works as usual, AI works in parallel, and results are compared. After successful testing, the solution goes live.

Phase 5: Operation and Optimization (ongoing)

After go-live, the project is not "finished." The agency monitors the solution, optimizes AI models, and adjusts them to changes in your business. Typically there is more intensive support in the first 3 months, then the solution transitions to regular maintenance mode.

Tips for Successful Collaboration

Appoint an internal project lead. Provide data and access promptly. Give honest feedback. Communicate changes in your processes. And have realistic expectations: AI is not a magic solution but a powerful tool that must be used correctly.