{"id":18516,"date":"2026-04-27T14:48:15","date_gmt":"2026-04-27T14:48:15","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/18516\/"},"modified":"2026-04-27T14:48:15","modified_gmt":"2026-04-27T14:48:15","slug":"qonto-transforms-into-an-ai-native-fintech-deploying-two-intelligent-agents-across-600000-businesses","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/18516\/","title":{"rendered":"Qonto Transforms Into an AI-Native Fintech, Deploying Two Intelligent Agents Across 600,000 Businesses"},"content":{"rendered":"

Qonto<\/a>, the leading European business finance management solution serving over 600,000 SMEs and freelancers across eight markets, today launches The Operator and The Analyst. Two AI agents that mark its transformation from a business finance platform into an AI-native financial operating system where autonomous agents handle routine operations.<\/p>\n

Available today to all Qonto customers, The Operator and The Analyst can execute routine banking operations (e.g. invoice payments, card creation, transaction analysis) through natural language request \u2013 eliminating the manual work that currently costs SMEs up to 8 hours per week.<\/p>\n

The Operator:\u00a0<\/p>\n

Directly embedded in the Qonto app, customers can now simply request The Operator to execute operations that previously required navigating multiple screens and manual data entry:\u00a0<\/p>\n

Card creation: customers can ask to create a virtual or physical card; the agent creates it and can apply spending limits.
\nBulk invoice payments: Qonto customers can upload up to 50 supplier invoices in one batch; the agent extracts payment details and prepares draft transfers for approval. \u25cf Payment scheduling: customers can request a transfer date through the conversation; the agent sets up and executes the scheduled transfer.
\nInvoice creation and sending: the agent drafts the invoice and can send it.<\/p>\n

Each critical action and financial transaction must be confirmed by the user and requires two-factor authentication. Transactions are only executed after approval.<\/p>\n

The Analyst:\u00a0<\/p>\n

The Analyst is a Qonto agent that turns account data into actionable insights, enabling business owners to ask questions about their transaction activity and receive instant analysis.\u00a0<\/p>\n

Answers questions: the agent generates an answer from transaction data (e.g. \u201cHow much did I spend on advertising last year?\u201d), without the business owner having to manually build reports in spreadsheets.
\nBreaks down spending: the agent summarizes spend by merchant and category over a selected period.
\nChanges over time: it shows how spending evolves between periods (e.g. month-to-month or quarter-to-quarter).
\nExports: it generates filtered transaction exports (e.g. by amount threshold and date range).<\/p>\n

Addressing the AI readiness gap\u00a0<\/p>\n

European SMEs, representing 99% of all businesses and employing 90 million people\u00b9, currently spend up to 8 hours per week on financial administration\u00b2: time that AI could help reclaim, yet most lack the dedicated resources to adopt solutions tailored to their real needs. With this launch, Qonto bridges that gap by building the financial infrastructure SMEs need to compete in an AI-driven economy. The shift: moving from self-service banking to intelligent delegation, where AI handles routine operations and frees time for activities that actually build competitive advantage.\u00a0<\/p>\n

\u201cEurope\u2019s 26 million SMEs don\u2019t have AI teams \u2013 but they deserve intelligent financial infrastructure anyway.\u201d says Steve Anavi, Co-Founder & President of Qonto. \u201cThat\u2019s what we\u2019re building. Soon, spending hours on manual reconciliation or chasing down missing invoices will feel as outdated as calling your bank to check your balance. This is Qonto becoming proactive: not just a place to manage money, but a financial system that works for SMEs before they have to ask.\u201d\u00a0<\/p>\n

Qonto\u2019s AI-native transformation\u00a0<\/p>\n

The launch of the agents follows a deep transformation the company has been undergoing over the past year:\u00a0<\/p>\n

AI use: 86% of employees use AI tools daily across all departments\u00a0
\nCustomer Service: in 2024, Qonto introduced Moshi \u2013 an AI support bot \u2013 available 24\/7 in all languages. Today, it handles 60% of common requests through instant responses.
\n\u25cf Risk & Compliance: in 2025, Qonto introduced Germi, an AI risk agent that analyzes industry classifications and prohibited activities, flagging cases requiring human review.
\n\u25cf Tech: Qonto\u2019s autonomous AI agents handle hundreds of development tasks monthly, working as virtual team members alongside human engineers. In March 2026 alone, 800\u00a0code modifications were handled autonomously by AI, covering bug fixes and user experience improvements.
\nContent localization: As Qonto operates across 8 markets in Europe \u2013 Tolki \u2013 Qonto\u2019s AI localization agent \u2013 handles content adaptation in several languages, reducing and has reduced localization time by 70%, freeing teams for content creation.\u00a0<\/p>\n

\u201cYou can\u2019t sell AI transformation if you\u2019re not living it.\u201d says Anavi. \u201cAt Qonto, every team is an AI team \u2013 not as a tagline, but literally. Support agents build their own workflows. Compliance teams train models. Engineers ship faster. When we tell SMEs AI will change how they operate, it\u2019s because we are already going through it at each level of the company.\u201d\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"Qonto, the leading European business finance management solution serving over 600,000 SMEs and freelancers across eight markets, today…\n","protected":false},"author":2,"featured_media":18517,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[405,13321,7537,13322,13323,13324,13325,13326,13327,13328,13329],"class_list":{"0":"post-18516","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-agentic-ai","8":"tag-ai-agents","9":"tag-ai-readiness-gap","10":"tag-artificial-intelligence-agents","11":"tag-banking-operations","12":"tag-business-finance","13":"tag-card-creation","14":"tag-financial-administration","15":"tag-invoice-payments","16":"tag-qonto","17":"tag-smes","18":"tag-transaction-analysis"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/18516","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=18516"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/18516\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/18517"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=18516"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=18516"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=18516"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}