{"dateModified":"2026-04-13T19:45:48Z","dateModifiedRaw":"2026-04-13T19:45:48.149Z","url":"https://swiftask.ai/use-case-data-inceptio","headline":"Data Inceptio: AI Chatbot for Construction | Swiftask","description":"How Data Inceptio leverages an AI chatbot with Swiftask to deliver instant technical answers for construction professionals.","text":"Case studies / Data Inceptio / Marion HillionEnterprise AI governance: Data Inceptio's story with SwiftaskArtificial intelligence is reshaping how companies work every day. Without a clear framework, it creates more problems than it solves: scattered tools, dependency on a single vendor, and limited visibility into usage. Enterprise AI governance is no longer optional—it is essential to deploy AI successfully.Data Inceptio, a premium partner of Swiftask for the past 18 months, understood it before others. Olivier Lagrandeur, founder of this organization specialized in agentic AI consulting and training, supports companies of all sizes every day in their transformation. He uses Swiftask as a central foundation: to govern, train, deploy, and scale AI agents seamlessly.This case study tells his story how Data Inceptio structured its own AI governance, how its teams build tailored fleets of agents, and the concrete results these tools have delivered, both internally and for its clients.The challengeIntegrate AI into the information system without losing control.Every week, Olivier Lagrandeur hears the same question from his clients: “Where should we start? And how can we integrate AI into our information system without disrupting everything?”Data Inceptio supports around twenty clients across various sectors—banking, insurance, industry, healthcare, and e-commerce. They all share the same starting point: a desire to adopt AI, but a complete lack of structure.Without governance, tools start to proliferate—ChatGPT here, Microsoft Copilot there, an image generation tool somewhere else. Each team makes its own choices, with no overall visibility. The result: data flowing without control, costs spiraling, and an IT department that no longer knows who is using what.The risk is real. “If a single LLM goes down, the entire team comes to a halt. As an entrepreneur, I can’t afford that,” explains Olivier. This is one of the reasons that convinced him to adopt Swiftask: its ability to rely on multiple LLM models simultaneously, without depending on a single provider.But even before talking about tools, Data Inceptio observes that most projects run into a more fundamental issue: a lack of AI culture. Employees don’t know what agents can do for them. They don’t see the use cases. They don’t have the words to express their needs.That’s why Data Inceptio has developed a three phase methodology:Awareness-building and trainingRaising teams’ awareness of agentic AI through Qualiopi-certified training sessions.Identification of use cases.Surfacing business priorities specific to each industry and each role.AI master plan.Defining how to integrate agents at the core of the information system, with a structured action plan.“We never start with the tool. We start by understanding the need. And it’s only after building AI awareness that the question of the overall roadmap truly comes into play.”Olivier LagrandeurFounder Data Inceptio.ai/Directeur généralThe solution.Swiftask as a central AI governance platform.Once the use cases are identified, you need a tool capable of deploying them—and not just any tool. Data Inceptio tested several solutions before choosing Swiftask. The verdict is clear.Three reasons explain this choice:Native governance.Swiftask is one of the few platforms to offer a true AI governance tool for enterprises. Managers can see who is using which agents, with which LLMs, and how often. They can restrict access, monitor usage, and manage deployment at scale. “This is something other solutions on the market don’t offer. And for our clients, it’s a decisive factor,” Olivier states.Unlimited agents.All Swiftask plans include unlimited agent creation. A client with 50 use cases can deploy 50 agents at no extra cost. “This changes everything for companies with a real agentic roadmap. They can move fast, without being held back,” Olivier emphasizes.The power of connectors.Each Swiftask agent can be equipped with 2,000 to 3,000 skills—meaning direct connections to enterprise tools: CRM, LinkedIn, Matomo, WordPress, Odoo, Notion, Brevo, and many others. “It’s the Ferrari of AI—not in terms of price, but in terms of performance and flexibility,” Olivier says.At Data Inceptio, adoption was immediate. The team set a simple rule: build at least one agent per day.Result:122 agents in production for a team of 8 people. One agent for writing emails, another for analyzing performance, another for preparing responses to tenders. “We have an agent for everything. And it really helps us in our day-to-day work,” Olivier shares.Creation is accessible to everyone. Instructions act as the code. Skills are simply connections to tools. “From the moment you are trained on Swiftask, you can create your own agents for all relevant business functions,” he explains.Data Inceptio has also designed three ready-to-use fleets of AI agents, which it commercializes to its clients.The “Avengers” fleet, dedicated to digital marketing, includes 18 agents orchestrated by a central agent called “Jarvis,” which pilots the entire system. The marketing manager has only one point of contact: Jarvis. They ask a question, and Jarvis activates the appropriate agent. The fleet is connected to the CRM, the Odoo email tool, LinkedIn, Matomo for tracking, and the WordPress website. “For someone working in marketing, they manage 18 agents through a single agent. That’s exactly what it means to become a manager of an AI fleet,” Olivier explains.The “Team Or” fleet, dedicated to sales, brings together 13 agents. It handles CRM integration, lead enrichment, tender qualification, and the drafting of responses. Presented at the All for One Customer trade show, it enables end-to-end management of a company’s entire sales cycle, regardless of its size.A third e-commerce fleet (18 agents) is currently being finalized. It will enable competitor price analysis, price list management, and optimization of the commercial performance of an online store.The Avengers fleetDedicated to digital marketing, it includes 18 agents orchestrated by “Jarvis,” a central agent that runs the entire system. The marketing manager has only one point of contact: Jarvis. They ask a question, and Jarvis activates the appropriate agent. The fleet is connected to the CRM, the Odoo email tool, LinkedIn, Matomo for tracking, and the WordPress website. “For someone working in marketing, they manage 18 agents through a single agent. That’s exactly what it means to become a manager of an AI fleet,” Olivier explains.The “Team Or” fleet.Dedicated to sales, it brings together 13 agents. It manages CRM integration, lead enrichment, tender qualification, and the drafting of responses. Presented at the All for One Customer trade show, it enables end-to-end management of a company’s entire sales cycle, regardless of its size.E-commerce fleet.A third e-commerce fleet (18 agents) is currently being finalized. It will enable competitor price analysis, price list management, and optimization of the commercial performance of an online store.“For someone working in marketing, they manage 18 agents through a single agent. That’s exactly what it means to become an AI fleet manager.”Olivier LagrandeurFounder of Data Inceptio.ai / Chief Executive OfficerThe results.Concrete gains in time, volume, and revenue.The benefits are measurable, and Olivier Lagrandeur cites them without hesitation.Before the Avengers fleet, producing an email campaign took three days—writing, validation, formatting, and sending. With a Swiftask agent, the same work now takes ten minutes. The three-person team managing Data Inceptio’s marketing now sends nearly 500,000 emails per week, with the same level of quality.On the sales side, the Team Or fleet enables more business to be handled in the same amount of time. Leads are automatically enriched. Tender responses are prepared in a few hours instead of several days. “It doesn’t destroy jobs. It gives the sales team the ability to do more, faster. And it generates additional revenue,” Olivier states.For its clients, the results are just as tangible. A recent client had a team of 100 users operational on Swiftask in just two days—governance configured, agents deployed, and teams trained. “That’s the level of responsiveness you can achieve when the tool is well designed and deployment is properly mastered,” Olivier explains.Data Inceptio is also able to train hundreds, even thousands, of employees in agentic AI, through Qualiopi-certified training programs. “Entire organizations are adopting AI with Swiftask. And that is truly rewarding,” he concludes.“The agent doesn’t replace humans. It produces quickly. But we always verify. We review it, adjust the tone, and make sure it aligns with our editorial guidelines. AI boosts, it doesn’t decide.”Olivier LagrandeurFounder of Data Inceptio.ai / Chief Executive OfficerOlivier LagrandeurFounder, Data Inceptio\"Swiftask lets us govern, train, deploy, and scale our AI agents without friction. It's the Ferrari of AI: performance and flexibility.\"Measured results3 days → 10 minTime to produce one email campaign500,000Emails sent per week122AI agents in production2 daysTo roll out to 100 usersIndustryConsulting & training in Data and Artificial IntelligenceSize5 key people identifiedLocationPays de la Loire, France (Nantes / Le Mans area)","image":[],"ScrubHash":"815a425c62fdc8052650123b44a533b42a4e03cbd211032dfe2d8489def01b49","schema":{"json_ld":[{"@context":"https://schema.org","@type":"WebPage","description":"How Data Inceptio leverages an AI chatbot with Swiftask to deliver instant technical answers for construction professionals.","image":"https://swiftask.ai/image-use-case/data-inceptio.png","inLanguage":"en-us","isPartOf":{"@type":"WebSite","name":"Swiftask","url":"https://swiftask.ai/"},"name":"Data Inceptio: AI Chatbot for Construction | Swiftask","url":"https://www.swiftask.ai/data-inceptio"}],"microdata":[],"rdfa":[{"typeof":null,"property":"og:title","value":"Data Inceptio: AI Chatbot for Construction | Swiftask"},{"typeof":null,"property":"og:description","value":"How Data Inceptio leverages an AI chatbot with Swiftask to deliver instant technical answers for construction professionals."},{"typeof":null,"property":"og:image","value":"https://swiftask.ai/image-use-case/data-inceptio.png"},{"typeof":null,"property":"og:url","value":"https://www.swiftask.ai/data-inceptio"},{"typeof":null,"property":"og:type","value":"website"},{"typeof":null,"property":"og:site_name","value":"Swiftask"},{"typeof":null,"property":"og:locale","value":"en_US"}]},"Head8kHash":"ec4285af107bea19","LastCheckedAt":"2026-04-14T02:51:22+00:00","MaxAgeSec":864000,"LastChangedAt":"2026-04-13T19:45:48Z","NoChangeStreak":0,"CurrentIntervalSec":21600,"ScrubCanonical":"https://www.swiftask.ai/data-inceptio","CheckTime":"2026-04-14T02:51:22+00:00"}