AI for vehicle certification
Certification runs on documentation. Most of the questions follow a pattern and can be answered from a knowledge base; a minority need an engineer's judgment. That split is what makes the field a good fit for conversational AI.
A customer wants to change their headlights, add a tow bar, or convert a van into a camper, and each change has its own requirements: the year and model of the vehicle, the type of modification, the photos and certificates that apply, and whether it can be certified at all. Most of that work is answering the same kinds of questions accurately, over and over. This is a practical look at what AI can and cannot do here, what a sound system looks like, and how we approached it for a certification business in Spain.
Where the time actually goes
Most individual customers arrive through the channel they already use, often WhatsApp, by text and voice note, alongside email, phone, and messages inside the platform. The questions look involved because a single conversation can branch through many conditions, but the branching is not the same as difficulty. With a knowledge base structured well enough, you can tell a customer exactly what is required to make a given change: the model, the documents, the photos.
The problem is volume, not complexity. Answering the same pattern-following questions pulls skilled people away from the work where they add the most value. First replies can take a day or more, longer in peak season, so customers chase across channels and are often asked for the same information twice.
What AI can do here, and what it should not
Given a real knowledge base, conversational AI can answer documentation questions accurately for the specific vehicle and modification, gather the required details, assemble a complete reform request so an engineer only has to verify and certify, and recognise when a request falls outside the pattern.
It should not make the calls that need judgment. Deciding whether a modification is viable from a photo, or handling a genuine conversion such as a van into a camper with a bed, shelving, and a gas installation, needs a qualified person. The important property is that the system knows the difference and escalates rather than guessing.
AI handles intake and routing. A certified engineer verifies and certifies.
What a sound system looks like
What we built for Fixlab
Fixlab is a vehicle certification business in Spain whose support was scattered across WhatsApp, email, phone, and their platform. We built Fixi, one conversational assistant that answers from a real knowledge base, starts the paperwork, and knows when to call a human. The pattern-following majority is handled in the conversation; the cases that need judgment reach a person. It is in production and validated.
Read the Fixlab case studyHow to start without overcommitting
Begin with the highest-volume, most repetitive question types, keep a person in the loop from the start, and measure how much of the load the system genuinely takes off. Certification is not a place to remove human judgment, so the goal is narrow: handle the repetitive intake well, escalate everything else cleanly, and let engineers spend their time on the work that requires them.