AI Agents & Automation
Everything you need to know about AI agents and intelligent automation: definition, use cases, architecture, security and adoption.
AI agents are transforming the way companies automate their processes. Unlike traditional chatbots, they understand context, access your data and act within your tools — under control. This series explores high-ROI use cases, reference architectures and deployment best practices.
33 articles in this cluster
Supplier fraud: the AI that detects suspicious invoices before it's too late
How AI helps SMBs detect supplier fraud by analyzing billing patterns and identifying anomalies before they hit cash flow.
AION: 28 French companies join forces to build AI gigafactories in Europe
Iliad, EDF, Orange, Hugging Face, Kyutai, Capgemini... 28 French companies come together in the AION consortium to respond to the European call for projects on AI gigafactories. A 10 billion euro project that repositions France in the race for artificial sovereignty.
Customer onboarding: the AI that does the work before the customer even asks a question
How AI speeds up the onboarding of your new customers, cuts access times from 48h to a few minutes, and turns first impressions into a retention lever.
Overdue payment collection: the AI that gets your cash flow moving again
How AI helps SMBs chase overdue payments without conflict, prioritize collection actions and cut bad debt by 40%.
Stockouts: the AI that anticipates shortages and makes replenishment reliable
How AI helps SMBs avoid stockouts: demand forecasting, supplier alerts, quantity calculation and prioritization of urgent orders.
GPT-5.5 and Workspace Agents: OpenAI wants to plug AI directly into SMBs' tools
OpenAI launches GPT-5.5 and Workspace Agents, agents able to connect to Slack, Salesforce and other business tools. A major step forward for SMBs, provided governance and use cases are properly framed.
Credit notes and customer returns: the AI that prevents losses and speeds up refunds
How AI automates the handling of returns and credit notes in SMBs: request sorting, document verification, error detection and faster refunds.
Muse Spark: Meta reignites the AI assistant war with its sub-agents
Meta launches Muse Spark, a new in-house model that powers Meta AI with advanced reasoning, multimodality and parallel sub-agents. An offensive that puts the AI assistant battle back at the heart of WhatsApp, Instagram and Facebook.
Tenders: the AI that submits 5x more bids with the same team
How AI transforms the way SMBs respond to tenders: automatic analysis of specifications, generation of technical sections, monitoring of public and private contracts. Gain a crushing competitive advantage.
Neuro-symbolic AI: 100 times less energy, 3 times more precision
Researchers unveil a hybrid neuro-symbolic AI that divides energy consumption by 100 while tripling precision. What this changes for SMBs that want to adopt AI without blowing their budget.
Expense reports: the AI that eliminates paperwork and errors
A complete guide to automating expense report management with AI in an SMB: smart scanning, automatic checks, faster reimbursement and guaranteed compliance.
Schedules and leave: the AI that prevents HR headaches every week
Complete guide to automating the management of schedules, leave and replacements with AI in an SMB: tools, concrete gains and a 4-step roadmap.
Predictive maintenance: the AI that prevents breakdowns before they happen
Complete guide to deploying AI-powered predictive maintenance in an industrial SMB: sensors, algorithms, concrete ROI and a 4-step roadmap.
Automating recruitment: from pre-selection to interview
Complete guide to automating recruitment with AI: CV screening, candidate-role matching, interview scheduling. ROI, tools and deployment steps.
Succeeding with adoption: how to get teams to use the agent
An AI agent is useless if no one uses it. A 3-phase change management plan to succeed with your teams' adoption of an AI agent.
Automate competitive intelligence with AI
Discover how to set up automated competitive intelligence with generative AI: tools, deployment method and measurable return on investment.
3 agent architectures (simple, tool-equipped, multi-agent)
A detailed comparison of three AI agent architectures: simple agent, tool-equipped agent (tool-use) and multi-agent system. When to use which, with examples.
2025 in 5 figures: the year AI became agentic
A look back at the key figures of 2025: agentic AI, market explosion, adoption rates and what this means for your 2026 strategy.
Evaluating an AI agent: metrics and tests
A complete matrix to evaluate an AI agent in production: quality, performance and security metrics. Automated tests, benchmarks and tools.
Amazon Bedrock Agents: AWS democratizes agentic AI
AWS launches Bedrock Agents, a managed service to build autonomous AI agents capable of orchestrating complex enterprise tasks. An analysis of the opportunities and limitations for SMBs and mid-market companies.
Optimize your supply chain with predictive AI
How predictive AI enables industrial SMBs and mid-market companies to optimize their supply chain: demand forecasting, inventory management and stockout anticipation. Methodology and field results.
Prompt injection: how to protect an AI agent
A practical guide to protecting your AI agents against prompt injection attacks: types of attacks, security checklist, layered defenses and testing.
Automating quality control with computer vision
How industrial SMBs deploy computer vision to automate quality control on their production lines. Complete methodology, technologies and measurable ROI.
Extracting data from documents (invoices, contracts): a reliable approach
Extracting structured data from invoices, contracts and purchase orders with AI: OCR + LLM, reliability rates, document types and implementation.
Industrial predictive maintenance: the AI that anticipates breakdowns
Predictive maintenance AI analyzes sensor data to anticipate breakdowns before they happen. A complete guide for manufacturers: sensors, models, deployment and ROI.
Automating email processing with AI (rules + control)
How an AI agent sorts, classifies and replies to your incoming emails with business rules and human oversight. Pseudo-workflow, measured gains and implementation.
Sales AI agent: prospecting, qualification, CRM (without spam)
Automate sales prospecting with an AI agent without falling into spam: lead qualification, CRM enrichment, ethical guardrails.
Anthropic's MCP protocol: when AI connects to your tools
Anthropic's Model Context Protocol (MCP) standardizes the connection between AI and business tools. No more custom connectors: a single protocol to plug AI into your databases, APIs and applications.
Transforming your customer service with a voice AI agent
Voice AI agents handle 40 to 60% of level 1 calls without human intervention. Discover how to deploy this technology and measure its impact on customer satisfaction.
Customer support AI agent: end-to-end scenario
From the incoming message to resolution: the complete flow of a customer support AI agent. Architecture, guardrails, human escalation and tracking metrics.
AI agents vs traditional automation: how to choose
RPA, scripts, AI agents: three automation approaches with very different strengths. Comparison table, selection criteria and roadmap for SMBs and mid-market companies.
AI and supplier relationships: negotiating and tracking your contracts
Managing supplier contracts is a time-consuming and error-prone process. Discover how AI can automate the analysis, comparison and tracking of your contracts to negotiate better and never miss a deadline again.
AI agent: simple definition + concrete examples
Chatbot, RPA, AI agent: everyone talks about them, no one means the same thing. Clear definition, reference architecture and concrete examples of AI agents in business.