hugo, auteur/autrice sur The French Translator
16 June 2026
AI can produce an impressive demonstration in just a few days. A well-designed prompt, a limited set of content, and a motivated team are often enough to showcase promising results. Yet in multilingual localization, that initial success says very little about an organization’s ability to deploy the solution at scale. This is the essence of […]
Read the article
9 June 2026
In many organizations, AI was initially introduced as a highly visible layer: new interfaces, manual prompts, continuous testing, and human validation at every step. That phase served an important purpose. It helped teams explore use cases, identify potential gains, and build awareness around emerging capabilities. But as AI adoption matures, a limitation becomes increasingly clear: […]
Read the article
2 June 2026
Localization has long been treated as a final step: a product is built, content is written, and only then is it “sent for translation.” This sequential approach dominated for years, especially in organizations where product, marketing, and language teams operated in silos. That model no longer reflects the operational reality of SaaS companies and global […]
Read the article
26 May 2026
In many organizations, the AI conversation still starts with a model question: which LLM to choose, what level of performance to expect, which provider to prioritize. In localization, that approach is too narrow. The real issue is not which model looks the most impressive today. The real issue is how to turn AI capabilities into […]
Read the article
19 May 2026
Automation is now present in almost every multilingual content workflow. But a key question is emerging for marketing, product and localization teams: should everything be automated in the same way, with the same rules and the same level of quality expectations? The answer is, of course, no. In practice, the most mature organizations are not […]
Read the article
12 May 2026
Automation is often presented as an obvious trajectory: more tools, more automated workflows, more volume processed, therefore more performance. On the ground, reality is more nuanced. Yes, AI and automation bring productivity and efficiency gains. But they can also degrade perceived quality, blur expectations, weaken client relationships and, in some cases, destroy value instead of […]
Read the article
Une question sur votre projet multilingue ? Parlons-en.
Me contacter
5 May 2026
The promise is appealing: deploy AI in localization to increase speed, reduce costs, and handle larger volumes. Yet when a project underdelivers, the diagnosis is often too quick: blame the technology, the model quality, or the limits of automation. In practice, the root causes usually lie elsewhere. In localization, challenges stem less from the tools […]
Read the article
28 April 2026
Risk-based localization adapts quality and control levels based on content impact, helping organizations optimize costs, reduce risk, and improve performance.
Read the article
21 April 2026
Localization becomes strategic when it is expressed in business terms—growth, risk, cost, and brand consistency—rather than linguistic metrics.
Read the article
14 April 2026
Credibility is the key KPI in localization: content can be linguistically correct but ineffective if it does not feel natural, trustworthy, and culturally aligned.
Read the article
7 April 2026
For a long time, language management in international companies was seen as an operational issue. A translation problem. A content workflow to handle. A matter of vendors and tools. That perspective is now outdated. Managing multilingual communication has become a strategic governance issue. In the most mature organizations, it is now discussed at the executive […]
Read the article
31 March 2026
In recent years, artificial intelligence has been widely seen as a decisive accelerator. Companies that adopted AI faster than others appeared to gain a significant lead: faster production, lower costs, massive automation, and immediate scalability. But since late 2025, a new reality has gradually become clear: AI, by itself, no longer creates competitive advantage. Understanding […]
Read the article