Dust - 10 AI agents that boost business productivity

Discover 10 AI Dust agents that automate your repetitive tasks and free up 50% of working time. Complete guide and Smotly expertise.

July 23, 20256 minFFloriane· Smotly
Web newsIa
Dust - 10 AI agents that boost business productivity
Blog - Dust AI: The French Startup that is Revolutionizing Generative AI

Artificial intelligence is no longer a distant promise, but a concrete lever to transform the effectiveness of teams. According to several studies, 41% of working time is spent on automatable tasks. What if you could give this time back to your colleagues? This is the challenge taken up by Dust, the French gem of personalized AI agents.

In this article, discover how 10 Dust agents are transforming the daily lives of companies like Malt, Alan or Doctolib... and how you too can benefit from a measurable ROI from the first year.

What is Dust and why is it revolutionizing productivity?

Dust is not “just another ChatGPT”

Dust is a French artificial intelligence platform that allows companies to create their own AI agents, fully personalized and connected to their work ecosystem. Founded in 2023 by Stanislas Polu and Gabriel Hubert, this Parisian startup has already won over more than 1,000 organizations, including references such as Doctolib, Qonto, PayFit and Alan.

The fundamental difference with general AI? Dust integrates directly with your internal data sources: Slack, Google Drive, Notion, Confluence, GitHub, CRM, and many others. Your agents thus understand the context of your company, its processes, its terminology and its specific issues.

🚀 The 3 key benefits of Dust for businesses

  • Connection to internal data

Unlike ChatGPT which works with generic data, Dust accesses your internal documents, your Slack conversations, your support tickets or your CRM data. Result: contextualized and relevant answers for YOUR organization.

  • Extensive customization

Each agent can be configured according to your specific business needs. You define its role, its data sources, its operating rules and even the underlying AI model (GPT-4, Claude, Mistral, etc.). Don't panic, we help you define your needs to create the assistant that will help you become more efficient.

  • French sovereignty

As a French solution, Dust respects the GDPR and offers a sovereign alternative to the American giants. Your data remains under control, with reinforced security and confidentiality guarantees.

10 AI Dust Agents to simplify daily work

10 AI Dust agents per profession

With Dust, it is possible to create intelligent agents designed for each profession. For example, they make it possible to automate certain tasks, access information more easily or even save time on daily processes.

Here is a summary of 10 typical agents, their concrete uses and what they can bring to teams.

Job/functionAgent IAUtilisationDaily benefits
Customer supportAgent SUPPORTAutomated FAQ, intelligent routingReduces team load Improves responsiveness
CommercialAgent SALESCRM summary, prospect follow-upOptimizes sales time and quality of reminders
MarketingAgent CONTENTWriting, translation, reformulationAccelerates content production without loss of quality
Ressources humainesAgent RHOnboarding, support RH, feedbackStreamlines integration Frees up time for HR
InformatiqueAgent ITTroubleshooting, ticket managementUnclog the helpdesk Accelerate resolution
Data / AnalyticsAgent ANALYTICSNatural language queries, visualizationMakes data accessible to everyone, even without technical skills
JuridiqueAgent LEGALProofreading of contracts, complianceSaves time on reviews Strengthens legal rigor
ProductAgent KNOWLEDGEMonitoring, product FAQ, internal onboardingFacilitates skills development Avoids information silos
DirectionAgent EXECUTIVEStrategic summary, meeting briefHelps with rapid decision-making and prioritization
OperationsAgent OPSSuivi de process, alertes, coordinationImproves operational fluidity Reduces daily friction

3 concrete examples of Dust agents implemented

Agent Support Client: Malt révolutionne son support

FR - Media kit

The context: Malt, the leading freelancing platform in Europe, manages thousands of daily support tickets in several languages. The support team was overwhelmed by recurring questions and processing time was increasing.

The agent and its interest: Malt deployed a Dust agent connected to its knowledge base, its historical tickets and its support tools. This agent automatically analyzes each request, identifies its nature and offers a suitable response or directs you to the right service.

Key Features

Auto-routage intelligent : Analyse et orientation automatique vers le bon service

Multilingual responses: Support in all languages with consistency of tone

Dynamic FAQ: Creating sample answers based on past resolutions

Intelligent escalation: Detection of complex cases requiring a human

Measured benefits

50% reduction in processing time (from 6 minutes to seconds) Significant increase in customer satisfaction Freeing up time for agents on complex cases ““We are processing a higher volume of tickets and have reduced processing time from 6 minutes on average to seconds. » — Anaïs Ghelfi, Head of Data Platform at Malt

Agent Data Analytics: Alan démocratise l’accès aux données

Alan (company) - Wikipedia

The context: Alan, a €4 billion digital health insurer, was facing a bottleneck: hundreds of employees needed data analyses, but only a few specialists could provide them, creating large queues.

The agent and its interest: Dust's Analytics agent connects to Alan's databases and translates business questions into SQL queries. Non-technical teams can now obtain their analyzes independently, without requiring data scientists.

Key Features

Natural language queries: “How many new customers this month?” » automatically becomes an SQL query

Automatic visualizations: Generation of graphs and dashboards

Cross-source analysis: Connecting multiple databases for a unified view

Predictive Insights: Identifying Trends and Recommendations

Measured benefits

Complete elimination of data queues Total autonomy of non-technical teams on analysis Drastic acceleration of business decision-making

« En moins de trois itérations de questions, je peux créer la requête SQL parfaite dont j’ai besoin. » - Vincent Delagabbe, Software Engineer chez Alan

Agent RH: Doctolib libère du temps pour l’humain

File:Doctolib Logo.svg - Wikimedia Commons

The context: Doctolib, the European leader in e-health, is experiencing rapid growth requiring constant onboarding of new employees. The HR team was overwhelmed by recurring questions and repetitive administrative processes.

The agent and his interest: The Dust HR agent centralizes all HR knowledge (policies, procedures, benefits) and automates onboarding processes. It instantly answers employees' questions and guides newcomers through their procedures.

Key Features

Personalized onboarding: Integration path adapted according to profile and position

Smart HR FAQ: Immediate answers on policies, leave, benefits

Feedback management: Assistance to managers for interviews and development

Administrative automation: Management of common requests without human intervention

Measured benefits

+20% freed up time for the HR team on high value-added tasks Significant improvement in the employee experience Smoother and more standardized onboarding

« Nous nous demandions depuis des années : et si votre équipe avait 20% de temps en plus ? Dust l’a rendu possible. » - Matthieu Birach, Chief People Officer chez Doctolib

*These results come from customer testimonials published by Dust. Actual gains may vary depending on digital maturity and the support put in place.

Smotly advice for a successful deployment

Drawing on our digital support experience, here are our recommendations to maximize the impact of your AI digital transformation with Dust.

5 steps to a successful deployment

Audit of current processes

Identify repetitive, time-consuming or error-prone tasks in your organization. Prioritize based on potential impact and ease of implementation.

Identifying quick wins

Start with simple but visible use cases (internal FAQs, meeting summaries) to quickly demonstrate value and create buy-in.

Team training

Invest in training your employees. A poorly used agent is an ineffective agent. Plan for training sessions and ongoing support.

Phased deployment

Proceed in stages: pilot on a team, then gradual expansion. This approach makes it possible to adjust the configuration and capitalize on feedback.

Mesure et optimisation

Set up a measurement system from the start. Analyze metrics, collect feedback and continually optimize your agents.

Traps to avoid

❌ Over-automation: Don’t automate everything at once. Keep the human in the loop for critical decisions and complex cases.

❌ Lack of training A poorly configured or misused Dust agent can create more frustration than value. Invest in training your teams.

❌ Lack of governance Define clear rules on who can create agents, with what data and according to what validation processes.

FAQ - Everything you need to know about AI, Dust and intelligent automation in business

What is Dust and how is it different from ChatGPT?

Dust is a French AI agent platform that connects to your internal data (Slack, CRM, Google Drive, etc.) to create personalized assistants. Unlike ChatGPT, Dust understands YOUR business context and is GDPR compliant.

What are the best use cases for getting started with Dust?

Automated customer support, internal FAQs, meeting summaries and HR onboarding are the most profitable quick wins.

ROI visible from the first month.

Will AI replace my teams?

No, Dust increases human abilities. Agents automate repetitive tasks to free up time for high value-added activities: creativity, customer relations, innovation.

How much does Dust cost and what ROI can you expect?

From €29/month/user. Example: 10 users saving 1 hour/day = €110,000 in annual gains for €5,480 in investment.

ROI moyen : +1900%.

Is my data secure with Dust?

Yes, Dust is SOC2 Type II certified, GDPR compliant. French solution, data hosted in Europe, never used to train other AI.

How long to deploy a Dust agent?

2-4 weeks for a first agent, including configuration, testing and team training. Smotly is with you every step of the way.

Does Dust work with our existing tools?

Yes, +50 native connectors: Slack, Salesforce, HubSpot, Google Workspace, Notion… Compatible with the majority of business tools.

Why choose Smotly for my Dust project?

+10 years of digital transformation expertise, official Dust partner, 360° support from audit to ROI, and French team dedicated to your success.

Conclusion: AI no longer waits, neither do your teams

But be careful: AI does not deploy by magic. It requires a methodical approach, appropriate training and expert support. This is exactly what Smotly offers. Ready to revolutionize your productivity? Our experts support you from the initial audit to complete deployment, including training your teams.

F

Written by

Floriane

Smotly

Talk to the team
Live demo

Now, give us 30 minutes to convince you.

30 minutes. Zero slides. Your context. We show you concretely what SmotFlow changes for your project.