A Group-wide framework for language operations, from assessment to deployment.
Swatch Group operates in a uniquely multilingual, multi-brand, multi-market environment: everything the Group publishes is an expression of brand equity in dozens of languages. A decentralised approach to language operations typically limits cost visibility, supplier oversight and quality control, and leaves AI adoption uncoordinated across brands. This proposal recommends a Group-wide Language Operations framework: shared governance, technology standards and AI enablement at Group level, with each brand's voice and market-specific requirements fully preserved. The intended result: procurement leverage, managed risk, governed AI adoption, and one coherent multilingual experience across brands and markets.
AI has made language production cheap and abundant; the scarce asset now is trust: brand-safe, compliant communication in every market. The decision on the table is an operating model: one coherent, AI-ready capability across the portfolio, with brand sovereignty intact.
Brands and markets manage language professionally today; these four levers open where that expertise connects at Group level, and the assessment quantifies each.
One agenda across the portfolio.
Shared standards for output quality and human oversight let every brand's progress compound.
Sensitive content protected end to end.
Unreleased products, campaigns and pricing are covered across every supplier, system and border.
Risk tiers from the Group's own brand architecture.
A Breguet warranty text and a Swatch campaign get exactly the treatment each requires.
Scattered budget lines become purchasing power.
Bundled volumes, harmonised rates and shared assets make Group-wide spend negotiable.
Group-level control where it adds value; brand ownership of voice, priorities and final say. Three levels of responsibility.
Governance, standards, supplier strategy, technology roadmap, AI and data-security policies, and reporting. A lean strategic function.
Full ownership of brand voice, content priorities and final approval. Breguet stays Breguet; Swatch stays Swatch.
Validate local relevance, regulatory suitability and cultural nuance, with a clear place in the workflow.
Governance of language technologies and responsible adoption of AI, through to AI-driven multilingual content creation.
Group-wide policies, accountability and operating standards for all multilingual content.
Strategic oversight of providers, procurement leverage and commercial terms, as industry pricing models shift.
Risk-based standards aligned to content type and brand tier, following the Group's own brand architecture.
Brand language, tone and consistency protected across every market and channel.
Full visibility of spend, performance and suppliers, measured in cost and time-to-market; ongoing optimisation as AI matures.
If the business case is confirmed, implementation can then be delivered on site: build the operating model with an interim team, transfer it into permanent hands, and embed the capability internally.
A focused baseline in one Group company: actual volumes, suppliers, technologies, workflows, costs and governance practices.
Operating model, savings case and rollout sequence validated with Group and brand leadership; digital transformation scoped only where required. The Group decides scope and pace.
Built hands-on with an embedded interim team: governance stood up, suppliers consolidated, AI workflows deployed under Group policy, reporting live.
The capability transfers into permanent hands, including, where desired, the design and recruitment of the target organisation. The Group ends with a lasting internal function.
The objective of this proposal is a governed, AI-ready capability; cost efficiency follows from it. The market sets the frame below; the Group's own numbers come from the assessment.
Large multinationals typically spend 0.25–2.5% of annual turnover on translation, localisation and language technology.
The Group's actual spend, supplier landscape and savings potential, established in four to six weeks in one Group company.
Consolidation alone typically yields 20–30%; governed, AI-enabled operations extend it, before counting faster time-to-market, reduced legal exposure and consolidated language data as a Group AI asset. In a prior group-wide mandate across more than ten markets, cost was reduced by more than half while quality standards rose.
AI models will keep changing; the framework ensures the Group benefits from every generation, from AI-assisted translation to AI-driven multilingual content creation within brand voice and quality tiers.
AI trained on the Group's terminology and brand voice outperforms any generic tool.
Consolidated language data and brand-voice definitions remain the Group's property.
One policy wherever AI touches customer-facing language.
Confidentiality, quality and human review, applied Group-wide.
The cost curve keeps bending downward.
Full craft at the prestige end of the portfolio, governed automation where volume dominates.
The Group switches freely as models improve.
Standards, data and workflows remain with the Group and travel with it, whichever models and tools come next.
A first conversation on the framework, the assessment scope, and the right pilot company. If the assessment confirms the case, the Group proceeds on real numbers; if not, the exposure was four to six weeks.