What we learn by building
What we learn building AI systems and agents in production: method, technical guardrails and impact measurement. No recycled industry watch: only subjects where we have shipped something that runs.
AI agents · 9 min readAI agents in customer service: what they handle, what they hand over
Scope, knowledge base, handover with context, committing data, transparency, measurement: how to design an AI agent for customer service that holds up.
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Compliance, hosting and impact · 10 min readGetting an AI tool adopted: the rollout plan, from pilot to retiring the old process
A delivered AI tool is not a used one. Pilot users, training on real cases, go-to people, fast fixes, measuring real usage and retiring the old process.
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Automation and business tools · 9 min readAutomating monthly reporting: moving beyond the hand-built workbook
Sources, metrics dictionary, reproducible calculation, dashboard, AI-drafted commentary reviewed by a person, checks: how to automate monthly reporting.
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Compliance, hosting and impact · 10 min readSovereign AI: real requirement or sales argument?
Data location, provider law, open-weight models, SecNumCloud: when sovereign AI is a real requirement for your business, and what it costs you in choices.
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AI agents · 10 min readEvaluating an AI agent: building and maintaining its test set
Real cases, answers validated by the business, hard and out of scope cases, criteria, replays and production monitoring: building an AI agent's test set.
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Automation and business tools · 11 min readIntegrating AI into your CRM without replacing it
Assisted entry, summaries, qualification, follow-ups, forecasting: how to integrate AI into your CRM, with which data, which rules, and what stays human.
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Compliance, hosting and impact · 10 min readShadow AI: framing the AI uses nobody declared
Your staff already use AI with their own tools. How to map that usage without a witch hunt, then frame it with a policy, official tools and data rules.
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AI agents · 10 min readChoosing a language model for your business: the criteria that matter
Quality on your own cases, real cost, latency, context, API or open weights, contract and continuity: the criteria for choosing a business language model.
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Compliance, hosting and impact · 10 min readGemini 4 Argon: one million output tokens, and the question of control
Google announces Gemini 4 Argon, one million output tokens, restricted to cyber defense. What the source says, and how to control what no one can review.
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Automation and business tools · 12 min readCalculating the return on investment of an AI project, before and after
Full costs, review time, measurable gains, baseline and post-launch measurement: the method for calculating the ROI of an AI project without fooling yourself.
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Compliance, hosting and impact · 11 min readSecuring an AI agent: prompt injection, data leakage and dangerous actions
Direct and indirect prompt injection, data leakage, excessive agency: concrete defences to secure an AI agent before it goes into production at your company.
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Automation and business tools · 9 min readAutomating supplier invoice processing with AI
Collection, extraction, matching with orders and receipts, approval, accounting: where AI fits in supplier invoice processing, and what it must never decide.
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AI agents · 11 min readDots and GPT-6.1 Sol: what OpenAI's DevDay changes for businesses
OpenAI launches dots, always-on agents, and GPT-6.1 Sol. We read the official pages: availability in Europe, controls, pricing and the limits to know.
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AI agents · 10 min readClaude Sonnet 5.5: which model for which work, and should you migrate
Claude Sonnet 5.5 was released on September 28: faster, fewer tokens, same price. What the numbers say, and our step-by-step method for migrating an agent.
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AI agents · 10 min readRAG in business: getting an agent to answer from your documents
Getting an AI agent to answer from your documents: preparing the corpus, handling permissions, splitting, citing sources, evaluating, and what RAG will not fix.
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Compliance, hosting and impact · 10 min readClaude Opus 5.5 and GPT-6 Sol in Copilot: what really changes for your company
Opus 5.5 and GPT-6 Sol are coming to Microsoft Copilot. We checked the announcement: in Europe, Claude stays off by default. Here is what you must decide.
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AI agents · 6 min readThis week in AI: 21 to 26 September 2026
Claude Opus 5.5, Gemini synthetic voices, Dataiku's agent inventory, a planned common standards body: this week's AI news and what it changes.
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AI agents · 7 min readKabaun Studio joins Anthropic's Claude Partner Network
Anthropic has approved Kabaun Studio into the Claude Partner Network: what the programme is, what it changes for our clients, and how to check a partner.
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Compliance, hosting and impact · 12 min readManaging and optimising AI costs in business: the CADRE framework
Licences, tokens, hidden costs: Kabaun Studio's CADRE framework to map, assign, size, reduce and govern AI spending across the company.
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AI agents · 12 min readClaude Opus 5.5: what it changes for your agents in production
Opus 5.5 shipped on 22 September 2026: pricing, announced gaps, and above all what a cost cut does or does not change for an AI agent already in production.
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Forward deployed engineering · 14 min readFDE, consultant, agency or staffing: the difference, and when to choose what
Consulting firm, fixed scope agency, staff augmentation or forward deployed engineer: what you buy, who carries the risk, and when each one is the right call.
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Forward deployed engineering · 12 min readWhy the forward deployed engineer is back with generative AI
A language model is generic. Value comes from wiring it into your business, and that wiring happens on site. Why this role is central again for AI agents.
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Forward deployed engineering · 14 min readHow a forward deployed engineer works: an engagement, step by step
How a forward deployed engineer engagement really runs: observation, mapping, first deliverable, feedback loop, decision points, measurement and handover.
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Forward deployed engineering · 14 min readThe forward deployed engineer's toolkit
The real toolkit of an engineer embedded with a client: observing, reaching data, prototyping, building, automating, hosting and handing over the work.
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Automation and business tools · 12 min readBusiness POC: isolating the production prerequisites
Data, access, integration, security, cost, quality: the prerequisites to isolate during a business POC so it reaches production.
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Forward deployed engineering · 14 min readHiring a forward deployed engineer or buying it as a service
Hire a forward deployed engineer or buy the model as a service: the three conditions for a hire that holds, and the signs that point to a service first.
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Forward deployed engineering · 12 min readFDE for sales teams: how it differs from RevOps
RevOps or forward deployed engineer for your sales team? The difference, the method to optimise your process and a worked ROI example.
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Automation and business tools · 11 min readTurning your Excel file into a tool with AI: the step by step method
The why, stakeholders, volumes and architecture, repetitive tasks, where AI fits: the method to move from a business Excel file to a reliable tool.
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AI agents · 9 min readAI at trade shows, in service of the visitor
Conversational agent, 3D map, live operations, human handoff: how AI answers visitors at trade shows, fairs, conferences and festivals.
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Compliance, hosting and impact · 8 min readAI Act: what already applies to your SMB in 2026
The AI Act already requires transparency from SMBs using AI since August 2026. Here is what applies now, what was postponed, and what comes next.
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AI agents · 8 min readWhat an AI agent costs in production: the line items
Tokens consumed, hosting, integration with existing tools, human oversight: the real cost items of a production AI agent, and how to reduce them.
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Automation and business tools · 8 min readReplacing Excel with business software: the signs it's time
Several versions of one file, one person who knows how it works: the concrete signs it's time to leave Excel for dedicated business software.
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Automation and business tools · 8 min readMake, Zapier, or custom: how to choose for automation
Make and Zapier handle most automation flows well. The concrete signals that show it's time for custom development, and what it really costs to maintain.
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Compliance, hosting and impact · 8 min readBringing your teams up to speed on AI
A team does not become competent because you handed out licences. The stages we see follow one another, what moves a team from one to the next, and the false signals of progress.
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Compliance, hosting and impact · 8 min readHosting an AI project in France: OVH, Scaleway or a hyperscaler
Which data reaches the AI model, where it is processed, under what law, and whether you can get it back: the questions before choosing a host.
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Forward deployed engineering · 21 min readForward deployed engineer: what an FDE really is
What a forward deployed engineer is, what the job actually involves, what the model changes for your organisation, and when it is simply the wrong choice.
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Automation and business tools · 8 min readCustom software or off the shelf: how to decide
Practical criteria for choosing between packaged software and custom development, without relying on gut feeling or a vendor's sales pitch alone.
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Automation and business tools · 7 min readAutomating quote follow-ups without hurting the client relationship
Why quote follow-ups don't go out, what to automate versus leave to a person, and the rules to write before connecting any automated follow-up tool.
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AI agents · 8 min readWhy an AI agent must never quote a price
A chatbot that invents a price binds the company. Our answer: closed list, server-side calculation, review before display.
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Automation and business tools · 7 min readAutomating a repetitive task without breaking anything
Which task to automate first, why to narrow the scope before extending it, and what is better left to a human.
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Compliance, hosting and impact · 8 min readCarbon accounting and CSRD: where to start when you have never measured
The three Scopes explained plainly, the seven questions that locate your starting point, and why continuous collection beats re-keying.
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AI agents · 7 min readDeploying an AI agent in your company, step by step
What happens between the decision and going live: scoping, collection, configuration, real-world testing and monitoring. No folklore.
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