Fresh
perspectives.
AI, technology and business transformation. Sourced analysis and practical guides to inform your next decisions.
20 insight(s) to explore
AI Index 2026: how to prioritise your company’s AI investments
A method for turning AI trends into concrete decisions: value, data, integration and the ability to adopt.
AI adoption: moving from licences to useful everyday workflows
An adoption programme connects tools with tasks, managers and measurement. Here is how to prepare a pilot that teams can genuinely make their own.
Training people to use AI without weakening their own skills
The aim of AI training: perform a task better while retaining the ability to understand, verify and explain the result.
One agent or several: choosing your agentic architecture
Specialisation, coordination and control: a framework for choosing between a workflow, one agent and a multi-agent system.
Production RAG: balancing quality, speed and data access
KDDI’s September 2026 case provides a starting point for evaluating a knowledge assistant beyond an impressive demonstration.
Sovereign AI in Morocco: questions to ask before choosing an architecture
Hosting, models, access, operations and exit options: turn sovereignty into requirements you can verify.
Copilot, ChatGPT Enterprise or Gemini Workspace: choose around your workflows
Your working environment is the best starting point. A structured comparison of workflows, permissions, administration and total cost.
Claude Cowork in business: which workflows should you define first?
A method for selecting tasks, preparing context and organising approval before deploying Cowork within a team.
Claude Code and Codex: organising their use in an engineering team
Repository context, permissions, review and testing: decisions that make development assistance useful and verifiable.
AI ROI: what to measure beyond licences and tokens
Separate consumption, adoption, operational performance and economic value with a task-based measurement model.
Chatbots and generated content: organising transparency in 2026
An operational method to make AI assistance visible, explain its limits and prepare the checks relevant to your project.
GEO in 2026: make your expertise understandable and citable
Structure, evidence, indexability and measurement: a practical framework for classic search and generated answers.
Social media and AI: build a content workflow true to your brand
From brief to distribution: organise ideas, sources, variants and approval to produce recognisable content.
AI and online reputation: detect, qualify and address useful signals
Useful monitoring connects a signal with context, priority and human action. Here is how to organise that workflow.
B2B animation: 60 measurements across three versions of the INKWAY site
Static, CSS animation and WebGL in a worker: a reproducible benchmark, actual results and the limits of what they establish.
Launching an AI SaaS: architecture decisions before the MVP
Define the journey, data boundaries and quality criteria before multiplying AI features.
AI-powered mobile apps: when should you choose React Native?
A framework for balancing shared code, native features, connectivity and maintenance across iOS and Android.
AI agents, CRM and ERP: prepare integration before automation
Reference data, permissions, approvals and recovery: foundations for controllable business automation.
HR systems and AI: why adoption also depends on data quality
Before adding an HR assistant, prepare reference data, permissions and the journeys employees actually need to complete.
Procurement: how to compare AI, web and mobile proposals
An INKWAY framework for comparing scope, skills, delivery evidence and operating costs.