The honest answer is that a well-scoped AI content integration project should reach production within ten to thirty days. The variance is almost entirely in the client's existing infrastructure, not the AI work itself.
The ten-day end of the range applies when your product data is clean, your ecommerce platform has a usable API, and the team that will own the system post-launch is available during the build. Phytesia UK hit this. We had full catalogue coverage, SEO-optimised descriptions in English, and live traffic results within ten days of kickoff. That is not unusual when the prerequisites are in place.
The thirty-day end of the range applies when there is data cleanup required, when the platform integration is non-standard, or when there are internal approval loops that slow down content sign-off. None of these are blockers — they are just work that has to happen before the pipeline can run cleanly.
Ecommerce implementation timelines often balloon because scope is unclear at the start. A common pattern: a business signs off on "AI content for product descriptions," and three weeks in discovers that the descriptions cannot go live until the metadata structure is fixed, the category taxonomy is rationalised, and someone has decided what tone of voice the brand is using. These are real requirements. They just needed to surface at week one, not week three.
At MashnLearn, we front-load the discovery phase precisely because of this. Before any model is configured, we map the data flow end to end: where the product data lives, what shape it is in, what the platform expects as input, and what the business's content rules actually are. If there are problems in that map, we find them in day two, not day twenty.
The AI integration timeline for internal coaching and change management runs in parallel, not after. Teams that are trained on the system as it is being built adopt it faster and depend less on external support post-launch.
What does not affect the timeline as much as clients expect: the choice of AI model, the number of SKUs (within reason), and the language count for translations. What does affect it: access to your systems, a single internal decision-maker who can approve content direction, and clean product data. If someone tells you AI content integration takes six months, they are either describing a much larger transformation project, or they are building something more complicated than the problem requires.