60+ entreprises m'ont demandé ces 5 systèmes IA (copie-les)

If you want to make money with AI in 2026, forget what you see on social media about autonomous agents and multi-agent systems. Companies aren't buying that. They are willing to pay significant amounts, between €3,000 and €10,000, for five very simple systems, sometimes without AI, primarily for their installation. My agency, Exploré Labs, has assisted over 60 companies across diverse sectors like construction, logistics, marketing, finance, luxury, and retail. Despite industry differences, the core problems and workflows they need automated are remarkably consistent. This video will detail the five most profitable systems, explain their appeal, and guide you on how to build them, whether for your own business or as a service. The first system is the "Qualification Assistant," the easiest automation to sell to any service company. The issue is that businesses spend money to attract prospects, but then struggle with slow response times or sales teams wasting time on basic qualifying questions. Responding within 5 minutes increases conversion chances tenfold, yet companies average almost two days to respond, by which time the prospect has likely contacted competitors. We implemented a WhatsApp agent for a marketing service company that received leads from over 10 countries. Previously, a human spent 20 minutes per lead deciphering country, budget, and needs. The agent now asks four key questions, qualifies leads, and dispatches them to the correct manager based on region. This ensures the first human contact happens within minutes with full context. The ROI is compelling: improving lead qualification by even 10% on a €2,000 average deal value for 100 prospects per month translates to an additional €20,000 in annual revenue. For an automation costing a few thousand euros, presenting this calculation with the client's own figures makes the price objection disappear, as the real cost is inaction. The second system, the "Invisible Backoffice," might seem less glamorous but often yields the highest ROI, sometimes without needing AI at all. Audits consistently reveal employees spending up to 60% of their time on repetitive tasks like opening documents, copying information, and filing. We've implemented voice workflows for technical experts to dictate reports, transforming manual transcription. A wealth manager with 500 clients and over 15 documents per file reduced administrative time by 70%. A construction company automated contract generation from HR data, reducing generation time to 30 seconds from manual template filling. These examples, across different sectors, demonstrate a common pattern: simple, rule-based systems with minimal maintenance. Automating half of an administrative role, which costs €35,000-€45,000 annually in France, offers a return on investment in just two months. The third system, an "Intelligent Follow-up AI System," targets new leads, distinct from the fourth system which focuses on dormant contacts. My agency initially lost money by stopping follow-ups too early. Rapid response is only half the battle; the crucial part is the follow-up sequence. Companies invest heavily in lead generation but fail to capitalize by stopping after one or two emails. Statistics show 80% of sales require at least five follow-ups, yet most sales teams stop after two. This means "hot leads," who have already expressed interest, are lost. Our system uses trigger events (form submission, webinar attendance) to initiate a sequence of 3-5 hyper-personalized, multi-channel messages over 2-3 weeks, drawing context from the CRM. If a prospect responds or books a call, the sequence stops, and the salesperson is notified with the full history. A B2B consultant saw their qualified calls per webinar double from six to 18 by implementing this system, significantly increasing revenue potential on €10,000 deals. The fourth system, the "Forgotten Goldmine System," re-engages dormant contacts in a company's CRM. Any company over two years old likely has a valuable, but unused, database of past clients, unresponsive prospects, or unconverting newsletter subscribers. These individuals already know the company. Instead of spending on new customer acquisition, reactivating this database is far more efficient. Manually contacting just ten dormant leads from our pipeline in six months resulted in three callbacks and one signed deal. Automating this process for 500 dormant contacts, with a 3% reconversion rate on a €3,000 average deal, could yield €45,000 with zero additional advertising spend. Finally, the fifth system is "Internal Reporting," often overlooked but indispensable once implemented. It addresses the significant amount of time employees spend compiling data for decision-making. This involves sales directors consolidating pipelines, agency owners listing client KPIs, or operations managers chasing project statuses across multiple tools. These tasks are manual, repetitive, and time-consuming. Our solution involves a background system that consolidates data from CRM, accounting, project management, and telephony. It analyzes data daily or weekly and pushes results directly into existing