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AI agents: how to automate 30% of analytical tasks

AI agents: how to automate 30% of analytical tasks

AI agents allow SMEs to automate up to 30% of recurring analytical tasks, such as generating reports or monitoring KPIs. Easy to implement with low-code tools and connected to internal data, they free teams from manual tasks to focus on strategic analysis. This technological lever, accessible and pragmatic, reinforces productivity and responsiveness without complicating the organization.

51% of decision makers plan to switch to real-time insights

51% of decision makers plan to switch to real-time insights

In a world where agility and responsiveness have become strategic imperatives, decision-makers are increasingly turning to real-time insights to inform their choices. A recent study reveals that 51% of business leaders plan to adopt real-time analytics solutions in order to speed up their decision-making process.

How AI enriches your product sheets and improves your sales performance

How AI enriches your product sheets and improves your sales performance

Artificial intelligence makes it possible to automate the enrichment of product sheets on a large scale, by generating personalized, SEO-optimized, translated, and A/B testable descriptions. The result: considerable time savings, better catalog consistency, and increased sales performance (+10 to +25% conversion). A particularly useful strategy for e-retailers and B2B/B2C businesses with a large catalog.

Shopping with ChatGPT: a new era for shopping assistance?

Shopping with ChatGPT: a new era for shopping assistance?

ChatGPT integrates a new shopping feature, allowing you to search, compare, and explore products through a simple conversation. With no ads or direct purchases, the tool offers a smooth, useful, and structured experience based on trusted sources. This evolution shows how AI can simplify everyday decision-making.

Service as a Platform: When AI turns expertise into an adaptive system

Service as a Platform: When AI turns expertise into an adaptive system

What if expertise no longer stopped at a deliverable, but became a living, evolving platform that was continuously accessible thanks to AI? This is precisely what we have been exploring at Strat37 for over a year: a hybrid approach where expertise is no longer delivered as a static service... but as a living, modular and scalable platform. The observation: → Standardized SaaS, even when doped with AI, struggle to meet specific strategic challenges (except in cases of ultra-verticalization). → Traditional consulting, although rich in value, often dies out once the mission is over. In this article, I am sharing our feedback with you: how AI is becoming the bridge between these two worlds, by giving birth to a new form of service — Service as a Platform (SaaP) — that sustainably transforms the relationship between expertise and technology. 📌 We talk about modularity, customer co-management, integration, and continuous learning. And you, have you already implemented SaaP in your organization? What brakes or levers did you identify?

Politeness with AI: an unsuspected environmental cost

Politeness with AI: an unsuspected environmental cost

According to Sam Altman, CEO of OpenAI, saying “thank you” or “please” to ChatGPT represents significant energy consumption. Each additional word is treated as a token, requiring more computing power. While the individual impact seems negligible, the cumulative effect of millions of daily interactions could cost tens of millions of dollars in electricity globally. This paradox places us in the face of a dilemma: should we prioritize our habits of politeness or adopt digital sobriety? A balanced approach would be to be concise with AIs while maintaining our courtesy for human interactions. Ironically, in this technological context, politeness comes at a very real price.

From conversational AI to autonomous AI: a revolution for business analytics

From conversational AI to autonomous AI: a revolution for business analytics

The new OpenAI models, o3 and o4-mini, mark a breakthrough: AI is no longer content with responding, it reasons and acts independently. These advances make it possible to deal with complex business issues from end to end — financial modeling, anomaly detection, opportunity scoring, logistics simulations — without human supervision. Thanks to their integration via API, these AIs are transforming business tools.

Making better use of Copilot in Microsoft 365

Making better use of Copilot in Microsoft 365

La galerie de prompts Copilot proposée par Microsoft est une ressource pratique pour tous ceux qui utilisent Microsoft 365 et souhaitent optimiser leur usage de l’IA. Elle regroupe des exemples de requêtes prêtes à l’emploi, filtrables par application (Word, Excel, Outlook…), type de tâche (rédiger, organiser, résumer…) et type de travail (communication, gestion de projet, analyse…). Cette galerie permet de gagner du temps, de structurer plus efficacement ses demandes à Copilot et de découvrir des cas d’usage concrets facilement adaptables.