Fleet management AI is a software assistant that continuously cross-checks your operational data (telematics, fuel cards, contracts, ANTAI, IoT sensors) to answer questions in plain language, automatically detect cost anomalies, recommend costed actions and automate recurring management tasks. It does not replace the fleet manager: it handles time-consuming analysis and frees up time for high-value decisions. Established market players (Geotab Ace, Webfleet Fleet Advisor, Samsara Intelligence, Evera myEvera, Fleeti) have been rolling out this kind of AI since 2024-2025, driven by progress in generative AI and mature telematics.

AI reduces costs in three ways. First, detecting anomalies the human eye would miss, such as a refuel exceeding tank capacity, a vehicle using 20% more fuel than average, or a lease that is consistently over its mileage. Second, costed recommendations of concrete actions for each overrun detected, with the expected saving calculated. Third, automating recurring tasks (reports, reminders, ANTAI designations, payroll exports), which frees up management time for strategic decisions. The first equipped fleets report measurable TCO savings within the first months, mainly on fuel, maintenance and claims.

Fleeti AI mainly automates four families of tasks. First, recurring reports (monthly dashboards, accounting exports, CSRD reporting, LOM quota tracking). Second, deadline-driven admin (ANTAI designations within 45 days, roadworthiness test reminders, contracts coming up for renewal). Third, data matching (fuel transactions to assign to vehicles, claims to assign to drivers, mileage to reconcile across sources). Fourth, alerts and notifications (threshold breach, cost anomaly, missing document). All automations remain subject to human approval before execution.

GDPR-compliant fleet management AI meets five main requirements. First, the purposes of processing are stated and documented in the company's record of processing. Second, privacy mode can be switched on outside drivers' working hours, in line with CNIL recommendations on company vehicle tracking. Third, retention periods are defined and applied automatically. Fourth, the drivers concerned are informed of the processing through a notice given when they join or at rollout. Fifth, the data is not used to train external models. Fleeti AI meets all five. GDPR compliance should be formally validated by your company's DPO at rollout.

A chatbot answers questions from a general knowledge base or pre-written procedures. Fleet management AI queries your operational data directly and in real time to produce a contextual, quantified and actionable answer. There are three key differences. First, the source of answers: a chatbot knows your documentation; fleet AI knows your vehicles, contracts, costs and drivers. Second, the recommended action: a chatbot informs; fleet AI proposes a costed decision and prepares its execution. Third, learning: fleet AI refines its recommendations from your past approvals and decisions, whereas a chatbot stays fixed on its knowledge base.

No. Fleeti AI prepares, proposes and quantifies, but it does not carry out any high-impact action without human approval. This governance rule covers every operation affecting your contracts, payments, driver relations or payroll. The only actions automated without prior approval are very low-impact, fully reversible ones, such as updating a reference list or consolidating a report. Every automated action is logged and auditable. This approach is aligned with the EU AI Act and CNIL recommendations for AI systems in the workplace.

Yes. Unlike most fleet management AI focused on road vehicles, Fleeti AI uses all available data sources, including those from devices and sensors on construction machinery, mobile equipment and field assets. The use cases are the same: detecting anomalies in billed engine hours, alerts on overuse, fuel consumption and theft tracking, and predictive maintenance based on actual operating hours. This combined coverage of vehicles and assets is core to Fleeti and particularly useful for construction and field industries.

Fleeti AI is deployed in two successive phases. Connecting data sources typically takes a few days to two weeks, depending on how many sources you have and how complex your tool stack is. The learning phase starts as soon as sources are connected: the first usable analyses are available within hours, and recommendations become more relevant over the first two to three months as the AI builds up usage history and your teams' approvals. No additional hardware is needed if your existing telematics sources are compatible or if an OEM manufacturer connection is available for your vehicles.

By default, Fleeti AI detects around ten types of anomaly, ranked by severity and quantified in TCO impact. First, consumption anomalies: fuel or electricity use above the model average, gradual drift with no identified cause, gap between reported and measured consumption. Second, transaction anomalies: refuel exceeding tank capacity, refuel outside the work area or usual hours, double toll charge on the same trip, unusual amount on a fuel card. Third, contract anomalies: excess mileage on a leased vehicle, late return, gap between mileage reported to the leasing company and actual mileage, claims above the contractual threshold. Fourth, operational anomalies: vehicle under-used for three consecutive months, overdue servicing, expired roadworthiness test, missing mandatory document. Each type can be configured or switched off according to your governance rules.

Fleeti AI is used by companies of all sizes, from SMEs to listed groups, across several industries and countries. Three industry families dominate. Services and maintenance, with light vehicle fleets of 50 to 500 units, use AI for TCO management and anomaly detection. Construction, where AI also covers machinery and field equipment, uses it for theft detection, overuse alerts and predictive maintenance based on actual engine hours. Transport and logistics use AI for consumption tracking, route optimisation and regulatory compliance. Fleeti is deployed in France, Senegal, Côte d'Ivoire and Morocco. The AI takes local tax and regulatory rules into account: the LOM law and CSRD in France, and local frameworks in West Africa and North Africa.