Top 10 AI Agents You Can Deploy in Under a Week in 2025

Dernière mise à jour :

October 3, 2025

5 minutes

Comment déployer un système d’agents autonomes rapidement dans l’entreprise ? Ici, on privilégie les solutions “prêtes à l’emploi” (et non les frameworks bruts). Oui, elles coûtent souvent plus cher, mais elles peuvent être configurées par des profils non techniques : un vrai avantage pour passer à l’action vite.

Discover the 10 best ready-to-use AI agents in 2025. Deploy them in less than a week, boost workflows, and automate processes without coding.

Chez Koncile, nous restons sceptiques face aux annonces sur le remplacement pur et simple des employés par l’IA, un sujet soulevé avec insistance par le Wall Street Journal.

Pour autant, cela n’empêche pas chaque fonction de l’entreprise d’adopter des agents IA pour accélérer des processus autrefois contraignants. Ces outils peuvent être déployés relativement rapidement, souvent en quelques semaines.

Contrairement aux solutions d’automatisation classique, fondées sur des règles fixes, les agents IA ont la capacité de prendre des décisions autonomes et d’ajuster leur comportement selon le contexte.

Alors voici notre avis sur les 10 agents IA du moment en 2025 !

1. Botpress

Botpress is one of the historical solutions for creating conversational agents. The platform is robust, packed with options, and clearly designed for developers.

What’s good—but also a double-edged sword—is the sheer amount of customization. One of their slogans, “by developers, for developers”, says it all: the power is there, but you need to be comfortable with code to fully leverage it.

2. Dify

Dify focuses on orchestration and ease of use. It offers a marketplace of connected tools and ready-to-use templates, which makes onboarding smoother.

A big advantage is the self-hosting option. For companies sensitive to privacy, that’s a real plus. But it’s still a more technical choice than pure SaaS.

3. StackAI

StackAI positions itself as a no-code/low-code tool to build internal agents and automate workflows. It strikes a good balance between quick prototyping and production.

It feels designed for businesses: role management, permissions, audit trails. But some advanced integrations are still missing, which can hold back more ambitious projects.

4. Relevance AI

Relevance AI is strongly data-centric: its agents are built to tap into vector databases and analyze complex knowledge. The interface is modern, even playful, thanks to its gamified design.

That said, workflows can quickly become complex to manage, and costs rise fast when scaling.

5. AgentFlow

AgentFlow clearly targets industries like finance and insurance. It allows companies to create, orchestrate, and monitor AI agents specialized in automating complex business workflows.

It’s not the most attractive visually, but it stands out for its focus on governance, supervision, and compliance, which is often more important than aesthetics in these industries.

6. Adept

Adept specializes in automating interactions with SaaS applications. Its multimodal approach (text, images, actions) goes further than a simple chatbot.

The promise is ambitious: automate end-to-end processes inside SaaS tools. But in practice, the product is still maturing.

7. Beam AI

Beam AI presents itself as a rapid prototyping tool. The interface is simple, onboarding is fast—ideal for testing ideas or launching an MVP.

The downside: it quickly reaches its limits when you try to scale to enterprise-level deployments.

8. MindStudio

MindStudio bets on simplicity, especially with its Chrome extension. It’s a no-code tool that makes things practical, often compared to StackAI or Relevance AI.

A good choice for small projects, but it may lack depth for heavier use cases.

9. Gumloop

Gumloop innovates with a feature that lets you create an agent directly from a simple prompt. That makes the experience far more accessible, especially for non-technical profiles.

The positioning is still a bit blurry, but the concept appeals to teams who want to experiment quickly without technical barriers.

10. Relay App

Relay is well known for its intuitive visual interface, based on a drag-and-drop canvas. It combines classic automation with AI intelligence, offering built-in models and lots of templates.

Probably the most accessible tool on this list for non-technical users—without giving up flexibility and customization.

Summary

Q&A

FAQ – AI Agents in 2025
What is an AI Agent?
An AI Agent is a system that autonomously performs tasks, makes decisions, and adapts its behavior to context—unlike traditional automation tools bound by rigid rules.
Why use AI Agents instead of classic automation?
Classic automation requires predefined rules. AI Agents add decision-making, contextual understanding, and adaptability, making them useful for complex workflows.
How fast can I deploy an AI Agent?
Most ready-to-use AI Agent solutions can be configured in 1–3 weeks, compared to months for custom frameworks.
How much does an AI Agent solution cost?
From €20/month (simple SaaS) to over €50k/year for enterprise-grade platforms. Pricing depends on usage and integration needs.
What are the main use cases?
Customer support, invoice and document automation, HR onboarding, compliance, marketing workflows, and SaaS process automation.

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Author and Co-Founder at Koncile
Jules Ratier

Co-fondateur at Koncile - Transform any document into structured data with LLM - jules@koncile.ai

Jules leads product development at Koncile, focusing on how to turn unstructured documents into business value.