Agentic processes in business: where code, skills and judgement belong
A technical method for making an agentic process replayable: measure skill discovery, reserve judgement for useful steps and enforce controls in code.
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39 articles: AI strategy, autonomous agents, digital sovereignty, FinOps, cybersecurity. Junyr Method™.
A technical method for making an agentic process replayable: measure skill discovery, reserve judgement for useful steps and enforce controls in code.
Read the articleWhat dash frequency really reveals: editorial habits, French and English conventions, model measurements and the limits of individual detection.
Read the articleCowork can support agent discovery and some production work, but durability depends on testing, contracts, controlled versions and a fallback plan.
Read the articleChat remains useful for exploration and exceptions, but durable processes need business context, controls and an interface fitted to the action.
Read the articleA practical method for framing, analysing and checking a decision with company data, while separating compute cost, integration cost and reliability.
Read the articleRankings move, benchmarks age and prices fall: a practical method for comparing AI models on quality, cost, risk and reversibility.
Read the articleDecide in the morning, let agents execute in the afternoon, dictate to emit, read to approve: the personal-effectiveness techniques, with the measurements behind them.
Read the articleGitHub repositories, generated projects and maintained products cannot be pooled: what their growth really changes for SaaS, procurement and governance.
Read the articleA method for working with AI agents that separates exploration, human decisions and implementation, illustrated by seventeen days from Junyr's internal registry.
Read the articleA dated reading of tensions in the AI cycle and the sovereignty choices opened by the Microsoft-Mistral partnership announced on 21 July 2026.
Read the articleA critical reading of a 2026 study of publicly documented AI maturity across two large-cap panels drawn from the CAC 40 and Nasdaq-100.
Read the articleAn economic reading of the AI value chain in 2026: reported revenue, announced investment, financial dependencies and industrial alternatives.
Read the articleA Junyr field report: agents no longer access Git, while the earlier history, deployment images, backups and a decision registry each retain a distinct role.
Read the articleA technical guide to selecting useful context, calculating KV memory and comparing API caches without confusing compute, latency and billing.
Read the articleHITL, HOTL and HOOTL: choosing the right supervision regime, enforcing executable limits and calibrating human escalation without mistaking statistical coverage for certainty.
Read the articleThree interim orders clarify CSE consultation for AI projects in France: effects on work, pilots, replacement tools, expert support and the separate AI Act framework.
Read the articleEmail and office suites are not disappearing: organisations can reduce fragmentation by giving each channel a clear role and requiring interoperability, modularity and reversibility.
Read the articleAn AI feature alone is quickly copied; durable advantage comes from workflow integration, reliability, data, distribution and controlled unit economics.
Read the articleA practical framework for testing four AI uses in promotional products, protecting the client relationship and substantiating environmental claims.
Read the articleA practical framework for assigning work to AI agents in deferred time: mandates, permissions, control points, accountability and measurement, without turning every employee into a manager.
Read the articleVibe coding remains useful for exploration; in production, UltraCoding adds orchestration, critical review, three-layer testing and explicit release gates.
Read the articleJunyr separates the business foundation, operational functions and AI model to make architecture, data control and running costs easier to assess.
Read the articleOpen models, local execution and reproducible software: a careful method for investing in data, integration and skills.
Read the articlePrepare, discover, demonstrate, quantify and close a first remote B2B meeting, with recording and AI kept within a clear governance framework.
Read the articleA practical method for governing an AI agent: a versioned mandate, permissions, human approvals, an action log and a measured pilot.
Read the articleVoice still matters, but unannounced calls are losing effectiveness: a practical method for assigning clear roles to messaging, video and controlled automation.
Read the articleCryptography has become a leadership decision. Data in transit, at rest, identities and post-quantum: the 2026 framework for business leaders.
Read the articleSpectateur, Artisan, Orchestre, Architecte, Pionnier: assess your SME’s AI maturity across nine dimensions using evidence and cumulative prerequisites.
Read the articleMove from isolated requests to tested instructions: context, examples, data, tools and output formats for dependable business AI.
Read the articleA 2026 FinOps guide to measuring, budgeting and controlling AI API costs, from model routing to genuinely attributable ROI.
Read the articleA practical method for deciding on jurisdiction, source-code data, cybersecurity, total cost and post-quantum migration without treating cloud and on-premise as doctrines.
Read the articleTool-first choices, aimless PoCs, an isolated sponsor, poorly measured value and unprepared data: five observable risks and the decisions that control them.
Read the articleINDUSTEC is an illustrative example for scoping an AI quotation assistant, measuring time, quality and adoption, and calculating ROI while keeping released capacity separate from cash savings.
Read the articleA practical framework for combining cooperation and bargaining power: a real BATNA, reservation point, justified anchor, verifiable consequences and a way back.
Read the articleA precise legal and managerial framework for deciding when to use mediation or conciliation, securing the process and measuring its effects.
Read the articleA practical method for choosing a first AI use case, measuring its full cost, protecting client data and deciding whether to continue or stop.
Read the articlePromoting a salesperson into management without weakening the team or margin: mandate, portfolio, agency objectives and support over 90 days.
Read the articleA practical method for choosing a process, measuring its baseline, preparing the data and deciding whether an AI pilot deserves to expand.
Read the articleA practical method for defining the role, making the process transparent, assessing comparable evidence and presenting a realistic employment proposition.
Read the articleGo further than the articles: the seven frictions of the “last mile”, the five levers of change management, AgentOps, ROI and a 12-month roadmap.
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