AI news, explained for business
Model releases, funding, regulation and trends — our watch articles, now in English.
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.
Customer complaints: the AI that turns after-sales support into a loyalty driver
How AI automates customer complaint management in SMBs: ticket analysis, intelligent routing, personalized responses and quality monitoring. Turn your after-sales support into a competitive advantage.
35% of your abandoned carts are caused by a question left unanswered
E-commerce SMBs lose a third of their sales because of late responses. Conversational AI turns this conversion driver into an accessible competitive advantage.
Claude Mythos Preview: Anthropic builds an AI too powerful to be made public
Anthropic unveils Claude Mythos Preview, a model able to detect previously unknown security flaws. But it is reserved for a club of 40 tech giants. What this means for SMB cybersecurity and unequal access to the best technologies.
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.
MCP crosses 97 million installs: the universal protocol connecting AI to your tools
Anthropic's Model Context Protocol reaches 97 million installs in March 2026. Adopted by OpenAI, Google and Microsoft, it becomes the universal standard for connecting AI agents to business tools. What it changes for SMBs.
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.
NVIDIA GTC 2026: the era of agentic AI is officially underway
NVIDIA unveils the Vera Rubin platform, the LPU chips inherited from Groq and targets $1 trillion in orders by 2027. What this concretely changes for SMBs.
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.
AMI Labs: Yann LeCun leaves Meta and raises 1 billion for world models
Turing Award winner Yann LeCun leaves Meta to found AMI Labs in Paris. His $1.03 billion raise funds world models, a radical alternative to LLMs. What it changes for SMBs.
DeepSeek V4: the Chinese model with 1 trillion parameters
DeepSeek V4 reaches 1 trillion parameters in open-weight. Analysis of performance, implications for sovereignty and an adoption strategy for SMBs and mid-market companies.
GPT-5.4: OpenAI moves to autonomous agents with computer use
OpenAI launches GPT-5.4 with native computer use, 1 million tokens of context and 33% fewer hallucinations. Analysis of the implications for businesses.
Risks and governance of office AI: what every decision-maker should know
Misinformation, data leakage, bias, vendor dependency: the risks of AI in office work are real but manageable. Discover the recommended governance framework, usage policies and best practices to deploy Copilot and Gemini securely.
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.
'Go production' checklist for an AI assistant
Before deploying your AI assistant to production, check these 25 points: answer quality, security, monitoring, compliance, scalability. The complete checklist for a calm and controlled move to production.
Deploying Copilot in the enterprise: licenses, security and adoption — complete guide
How to deploy Microsoft 365 Copilot in the enterprise the right way: technical prerequisites, license selection, security configuration, adoption plan and change management. A guide for CIOs, IT managers and AI project leads.
The AI Act comes into force: what changes for businesses
The European AI regulation (AI Act) comes into force. Which systems are affected, which obligations apply and how to prepare right now.
Augmented Code Sprint: engagement model and deliverables
The Augmented Code Sprint is a 2-to-4-week intervention format to integrate AI into a team's development practices. Here is what it contains, what it delivers, and why it is the most effective format to get started.
ROI of augmented office productivity: how to measure and maximize it
How to measure the real return on investment of Copilot and Gemini in the enterprise? Calculation methodology, key indicators, pitfalls to avoid and examples of observed ROI. A guide for decision-makers who want to justify or optimize their investment in office AI.
Deploying a RAG chatbot on your internal documents
Step-by-step guide to deploying a RAG chatbot on your document base: architecture, tool choices, costs, timelines and pitfalls to avoid.
Quality control plan: example rules (completeness, freshness)
A quality control plan defines the rules that guarantee the reliability of your data: completeness, uniqueness, format compliance, freshness. Here are 20 concrete example rules to apply to your CRM, ERP and BI tables, with the tools to automate them.
Augmented Word and Google Docs: AI-assisted writing in practice
Copilot in Word and Gemini in Google Docs transform professional writing: generating first drafts, rephrasing, summarizing, translating, proofreading. Discover concrete use cases, the limitations and the most effective prompts for professionals.
Anthropic raises 30 billion: the race for AI capital breaks every record
Anthropic closes a 30 billion dollar round at a 380 billion valuation. Analysis of the revenue trajectory, the impact on the AI market and the implications for European companies.
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.
Augmented PowerPoint: create impactful presentations with AI
Copilot in PowerPoint and Gemini in Slides transform the creation of presentations: generating slides from text, automatic formatting, visual suggestions. Discover effective prompts, the limitations and our method for professional presentations in 30 minutes.
Write your tenders 3x faster with AI
Practical guide to using AI in tender writing: requirements analysis, generation of compliant responses, quality control. ROI and tools.
2026 panorama: the AI use cases that really save time (SMBs)
Which AI use cases actually generate time savings in SMBs in 2026? A comparative table of 10 use cases with estimated gains, costs and maturity levels. From hype to field reality.
Augmented Excel: formulas, analyses and dashboards with Copilot
Natural-language formulas, automatic pivot tables, intelligent charts: discover how Copilot in Excel and Gemini in Sheets transform data analysis, with advanced examples and best practices for structuring your data.
AI agents arrive in ERPs: SAP, Oracle and Salesforce accelerate
SAP, Oracle and Salesforce are integrating autonomous AI agents into their ERPs. Which tasks are automated, what impact on IT teams and what adoption timeline.
RAG security: access rights and information leakage
A RAG without access control potentially exposes all documents to all users. Confidential information leakage, rights bypass, prompt injection: the security risks of RAG and how to mitigate them.
Automating your emails and meetings with AI: a practical guide
Automatic email writing, inbox summarization, meeting transcription, action extraction: discover how AI transforms professional communication with Copilot, Gemini, Otter.ai and Fireflies, and calculate the hours saved.
AI and B2B customer relations: personalize without dehumanizing
How to use AI to enrich B2B customer relations: personalized outreach, meeting preparation, account intelligence. With the right human/machine balance.
Measuring dev productivity: what to look at (without vanity metrics)
Lines of code, number of commits, velocity — classic productivity metrics are misleading, especially with AI. Here are the indicators that really measure the impact of AI on your development team.
Google Gemini in Workspace: features and comparison with Copilot
Google Gemini transforms Docs, Sheets, Slides, Gmail and Meet. Discover its detailed features, a feature-by-feature comparison with Microsoft Copilot, the advantages of each ecosystem and our recommendations based on your company profile.
OpenAI's GPT-5.2: three models to answer Gemini 3
OpenAI launches GPT-5.2 with three variants — Instant, Thinking and Pro — as a direct response to Google Gemini 3. Analysis of performance, costs and impact for SMBs and mid-market companies.
Business glossary: unifying definitions before automating
When marketing counts 12,000 customers and accounting 9,500, the problem isn't technical — it's that 'customer' doesn't have the same definition. A business glossary unifies business terms before you automate. Here's how to build it.
Microsoft 365 Copilot: what it really changes for an SMB
Copilot in Word, Excel, PowerPoint, Outlook and Teams: discover what really works for an SMB, the current limitations, license costs and our method for maximizing adoption and ROI.
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.
Augmented office productivity: Copilot, Gemini and AI in daily work — complete guide
Microsoft 365 Copilot, Google Gemini in Workspace, AI assistants in Excel, Word, Gmail: discover how AI is transforming office work day to day, with a detailed comparison, concrete use cases and our deployment methodology for SMBs and mid-market companies.
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.
From POC to production: Go/No-Go criteria
85% of AI POCs never make it to production. Discover the 12-criteria Go/No-Go checklist to objectively decide whether your POC deserves to be industrialized — or whether to pivot.
Training your teams on generative AI: method and results
How do you design a generative AI training program for your teams? A proven 3-month method, monitoring indicators and a concrete return on investment.
Logging and audit: making AI traceable
The AI Act requires the traceability of AI systems. Structured logs, audit trail, retention and access: a complete guide to making your AI assistant auditable by regulators, auditors and your internal teams.
Augmented backlog grooming: user stories faster, better
Backlog grooming consumes 10 to 15% of sprint time. AI can write the user stories, suggest the acceptance criteria and estimate complexity — provided you do not give it the final say.
Automating Your Monthly Accounting Close with AI
AI can cut monthly accounting close time by 60%. Bank reconciliation, anomaly detection, report generation: a complete method and the ROI.
Open data and AI: creating value without exposing your internal data
Open data is a goldmine underused by SMBs. Combined with AI, it enriches your analyses without exposing your internal data. Here's how to identify, integrate and exploit open data in your AI projects.
Deepfakes threaten businesses: how to protect yourself
Audio and video deepfakes are now targeting businesses: CEO fraud, identity theft, evidence manipulation. State of play and a protection plan.
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.
Mistral Large 3: the European champion of AI
Mistral unveils Large 3, a European LLM that rivals GPT-5 and Claude Opus. Sovereignty, self-hosting and performance: a complete analysis for SMBs and mid-market companies.
Building an AI Legal Assistant for Your Legal Department
How to build an AI assistant for your legal department: contract review, clause extraction, compliance checking. RAG architecture, tools and measurable ROI.
Roles and responsibilities: who steers AI (CEO, CIO, business)?
CEO, CIO, CDO, business teams: who actually steers AI strategy in an SMB or mid-market company? RACI matrix, key roles and organizational models to structure your AI governance without bloating your org chart.
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.
Non-regression tests for an AI assistant
A prompt change, a new model, an index update: each modification can break your AI assistant. A non-regression testing protocol specific to LLM applications, with tools and CI/CD automation.
AI and content marketing: generate, optimize, measure
How SMBs and mid-market companies use generative AI to produce marketing content at scale, optimize SEO and measure the ROI of every publication. Complete methodology and concrete results.
Security: avoiding secret leaks with AI
Generative AI in the development workflow creates new vectors for secret leaks: API keys, tokens, credentials sent in prompts. Here is how to secure your practices without slowing down productivity.
The battle of open source models intensifies
Meta's Llama 3.2, Mistral Large 2 and Alibaba's Qwen 2.5 are shaking up proprietary models. An analysis of the sovereignty, cost and performance stakes for French businesses.
AI dashboards: the 15 metrics to track
An AI model in production without a dashboard is like a plane without an instrument panel: you fly blind. Here are the 15 essential metrics to monitor your AI models — from technical performance to business ROI — and how to build an actionable dashboard.
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.
Microsoft Copilot 365: review 2 years after launch
A year after its launch, Microsoft Copilot 365 has been adopted by more than 400,000 companies. An unflinching review: real productivity, observed limits and recommendations to make the most of it.
The 12 mistakes that make an AI project fail (and how to avoid them)
67% of AI projects in SMBs never reach production. Discover the 12 most frequent mistakes, classified by project phase, and the anti-patterns to avoid to maximize your chances of success.
Analyze your financial data in natural language
How CFOs and management controllers use AI to query their financial data in natural language, automate reporting and detect anomalies. A practical guide for SMBs and mid-market companies.
LLMOps: monitoring quality, costs and latency
An LLM in production without monitoring means a bill that climbs silently and quality that degrades without alert. Observability, alerts, dashboards: the LLMOps guide to staying in control.
Multimodal AI is a game changer: text, image, video, audio
Multimodal models capable of processing text, image, video and audio in a single conversation open up unprecedented use cases for businesses. An analysis of the opportunities and key players.
Augmented code review: checklist and limits
AI can pre-review your PRs and catch 60% of issues before the human review. But it has critical blind spots. Here is a checklist to combine AI review and human review effectively.
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.
GDPR and AI: data checklist (collection, minimization, retention)
Deploying AI on personal data without complying with the GDPR means taking a major legal and financial risk. Here's a concrete 15-point checklist to secure your AI projects: collection, minimization, retention period and individuals' rights.
Apple Intelligence finally arrives in France with iOS 26
Apple launches the new Apple Intelligence features in France with iOS 26. A powerful AI that respects privacy. An analysis of the impact for businesses and professional users.
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.
AI and project management: from planning to automated reporting
From automatic planning to real-time reporting, AI is transforming project management. Discover how SMBs and mid-market companies can save up to 30% of the time spent steering their projects.
Creating an AI usage policy (ready-to-adapt example)
Your company uses generative AI but doesn't yet have a formalized usage policy? Here is a complete template with an allowed/forbidden table, ready to adapt to your SMB or mid-market context.
LLMs reach 1 million tokens of context
The context windows of large language models now reach 1 million tokens. A quiet revolution that opens up new use cases for document analysis and software development.
Citations: how to force a sourced answer
An AI answer without a source is an opinion, not information. Prompt engineering, post-processing and RAG architecture techniques to guarantee that every claim is traceable to an identified document.
Personalizing the e-commerce customer experience with AI
AI is transforming e-commerce by delivering personalization at scale: product recommendations, dynamic content and optimized customer journeys. A complete guide for online retail SMBs.
Prompts for developers: pattern libraries (examples)
A good prompt makes the difference between mediocre generated code and production-ready code. Here is a library of tested prompt patterns for developers, with concrete examples for Copilot, Cursor and Claude Code.
Anthropic explodes: from 1 to 4 billion in revenue in 7 months
Anthropic's annualized revenue jumps from 1 to 4 billion dollars in 7 months. A breakdown of this historic growth and its implications for the AI market and the companies that use it.
Building a 'RAG-ready' document base (process and formats)
Your generative AI is only as good as the documents it consults. Building a RAG-ready document base means structuring, cleaning and formatting your content so that retrieval works. Here's the complete process, from PDFs to optimized chunks.
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.
Does AI coding really replace developers?
Claude Code, GitHub Copilot, Cursor: AI programming tools are booming. Between promises of automation and the reality on the ground, a breakdown of what AI really changes for development teams.
Generative AI: real risks and best practices in business
Hallucinations, data leaks, bias, vendor dependency: the risks of generative AI in business are real but manageable. Best-practices checklist and governance framework for SMBs and mid-market companies.
Automating ESG reports with AI
The CSRD directive imposes new ESG reporting obligations on companies. AI makes it possible to automate data collection, analysis and report writing to save up to 60% of the time.
Indexing without noise: cleaning, deduplication, metadata
Headers, footers, duplicates, scanned PDFs: noise in your vector index degrades the quality of your RAG. A complete guide to cleaning, deduplication and metadata enrichment for clean indexing.
Google DeepMind and AlphaFold 3: AI revolutionizes biology
AlphaFold 3 is no longer limited to proteins: the model now predicts interactions between DNA, RNA, ligands and molecules. A turning point for pharma and biotechs.
Assisted refactoring: a safe and reproducible workflow
AI can speed up the refactoring of legacy code, but a poorly framed prompt can introduce more bugs than it fixes. Here is a safe workflow, tested on real projects, to refactor with confidence.
Optimizing energy consumption with AI
Heating, air conditioning, lighting, industrial processes: AI makes it possible to reduce the energy bill by 15 to 30% by optimizing each item in real time.
Data observability: detecting drift before incidents
Your data changes silently: volumes that fluctuate, distributions that drift, freshness that degrades. Data observability detects these anomalies before they break your dashboards and your AI models. Here's how to set it up.
Small language models: powerful AI on small budgets
SLMs (Phi-3, Gemma 2, Mistral 7B) run on a simple server and cover 80% of enterprise use cases. Discover how to take advantage of them without blowing your cloud budget.
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.
Deploying an internal AI assistant in 2 weeks
An AI assistant connected to your internal documents, deployed in 2 weeks flat. Discover the sprint method, the tools and the budget for an immediate AI quick win.
AI roadmap: the Impact / Complexity matrix (template)
How do you prioritize your AI projects when everything seems urgent? The Impact / Complexity matrix is the most effective tool for building a pragmatic AI roadmap. Ready-to-use template and step-by-step method.
Gemini 2.5 Pro now generally available: Google democratizes AI reasoning
Gemini 2.5 Pro has been generally available since June 17, 2025. With a 1 million token context window and advanced reasoning, Google is shaking up the competition. Analysis for decision-makers.
Chunking: how to split your documents (guidelines)
60% of a RAG's quality depends on the quality of chunking. Chunk size, overlap, semantic vs syntactic strategies: a practical guide to splitting your documents and maximizing result relevance.
AI and regulatory compliance: automate without risk
Manual regulatory monitoring is costly and lets critical changes slip through. AI automates detection, impact analysis and the generation of compliance reports.
Generating technical documentation without making it wrong
AI can write your technical documentation in minutes — but 40% of the generated content is inaccurate or outdated. Here is how to leverage AI generation while guaranteeing the reliability of your docs.
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.
Data lineage: why it's essential in AI
When an AI model produces a wrong result, the first question is: where does the data come from? Data lineage traces the journey of each data point, from its source to its consumption. Essential for debugging, auditing and trusting your AI pipelines.
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.
Generative AI passes 100 billion in global revenue
The generative AI market crosses the symbolic 100 billion dollar mark in 2025. Who captures the value, which segments are booming and what this acceleration means for French companies.
Measuring AI ROI: methods and KPIs (examples)
Only 27% of companies actually measure the ROI of their AI projects. Discover proven methods, the KPIs to track by use case and concrete calculation examples for SMBs and mid-market companies.
Evaluating a RAG chain: metrics and protocol
Faithfulness, relevance, recall: the essential metrics for measuring the quality of a RAG chain in production. Complete protocol, open source tools and recommended thresholds to guarantee reliable answers for your users.
Anthropic's Claude 4: the AI that works on its own for hours
Anthropic has just launched Claude 4, with two models — Opus 4 and Sonnet 4 — capable of working autonomously on complex tasks for several hours. Here is what your business needs to take away from it.
AI and HR transformation: from recruitment to talent management
AI is transforming every stage of the HR cycle: automated sourcing, intelligent CV screening, personalized onboarding and predictive skills management. Here is how to implement it concretely in your SMB or mid-market company, with a measurable ROI from the very first quarter.
Accelerating tests: AI-powered test generation + maintenance
Generating unit and integration tests with AI is possible — but without a method, you end up with brittle tests that break on every refactor. Here is a reliable workflow to speed up your coverage without sacrificing maintainability.
Nvidia Blackwell Ultra: the GPU that powers AI agents
Announced at GTC in March 2025, the Nvidia Blackwell Ultra (B300) packs 288 GB of HBM3e and doubled performance on agentic workloads. This chip redefines the balance of power between cloud and on-premise for businesses.
Data governance: a simple model (Data Owner / Steward / rules)
Data governance doesn't have to be a monumental project. A simple model — Data Owner, Data Steward, quality rules — is enough to lay the foundations of a reliable data organization. Here's how to roll it out in SMBs/mid-market companies in 8 weeks.
Cut your IT costs by 30% with AI
Automated monitoring, autonomous ticket resolution, cloud infrastructure optimization: AI lets SMBs and mid-market companies cut their IT costs by 20 to 35%. Here is the concrete how-to with the tools, the steps and the figures.
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.
The AI Act comes into force: a first assessment
Since February 2025, the first provisions of the European AI Act have been applicable. Between new obligations and compliance opportunities, here is an overview of what is concretely changing for French companies.
How much does an enterprise AI project cost (ranges and cost line items)
From 5,000 euros for a no-code POC to over 200,000 euros for a custom solution: discover the real cost line items of an AI project in SMBs and mid-market companies, with concrete ranges by scenario and our tips to optimize your budget.
RAG vs fine-tuning: how to decide
RAG or fine-tuning? The answer depends on your use case. Decision criteria, pros and cons of each approach, and when to opt for a hybrid strategy.
First AI audit: where to start when you're an SMB
Running a first AI audit when you're an SMB can feel intimidating. Here is a structured four-step method to assess your maturity, identify quick wins and build a pragmatic AI roadmap.
Augmented development: what AI really changes (2026)
AI does not replace developers — it transforms the way they work. From assisted code to generated tests, here is what is concretely changing in 2026 for development teams.
Stability AI accelerates AI video generation with SVD 2.0
Stability AI unveils SVD 2.0 (Stable Video Diffusion 2.0), an ultra-fast video generation model. A breakthrough that could shake up the creation of marketing content, training videos and audiovisual production for businesses.
Data quality: the number 1 prerequisite for useful AI
80% of AI projects fail because of the data, not the algorithms. Discover the most frequent problems, an assessment framework in 5 dimensions and the metrics to track to ensure genuinely useful AI.
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.
Democratized fine-tuning: customize your AI for €50
Fine-tuning AI models is no longer reserved for tech giants. With costs dropping to 50 euros and accessible tools, SMBs can now customize an LLM for their specific business. An overview of the options and the method.
AI in SMBs: where to start in 30 days
You run an SMB and AI interests you, but you do not know where to start? Here is a concrete 30-day action plan: diagnosis, prioritization, 3 quick wins and budget control.