This guide is part of the Localize the World series—host Linh Nguyen (Localization Program Manager at PayPal) with Stas Kharevich, Head of Localization, Alconost. For the full framework covering content profiling, workflows, and maturity, see A Practical Localization Strategy for Growing Products.
Separate ownership from execution
The most useful distinction is not “in-house versus outsourced.” It is who decides—and who produces.
Localization requires both business decisions and production work.
Business decisions include:
- Which markets to prioritize
- Which content to localize
- When to launch
- How much quality is required
- Which brand terms must remain consistent
- Which product risks matter most
- How localization success will be measured
Production work includes:
- Recruiting translators
- Assigning tasks
- Translating content
- Editing translations
- Running linguistic quality checks
- Managing files
- Preparing localized assets
- Coordinating multilingual releases
A vendor can take responsibility for much of the second group. The first group should remain connected to the company’s product and business strategy.
What should teams keep in-house?
A company can outsource most translation production without giving up control of its localization program. In the clip below, Stas Kharevich explains what to keep in-house—workflow ownership, requirements, content management, and final quality oversight.
On what to own internally, Stas Kharevich puts it this way:
What I would keep in-house is the localization managers in charge of the pipeline and workflow—the rules and requirements sent to vendors, content generation and content management, and maybe a small team of QA managers for the last phase before release. Task management, translators, and routine internal QA are often best outsourced.
A practical hybrid operating model
A lean internal function may consist of one localization manager supported by product, content, engineering, and marketing stakeholders. The external provider manages multilingual production.
The internal team owns:
- Strategy
- Priorities
- Source-content readiness
- Product context
- Brand and terminology decisions
- Required quality levels
- Stakeholder coordination
- Vendor performance
- Final business approval
The provider owns:
- Language-team management
- Translation production
- Editing and linguistic QA
- Workflow execution
- Delivery tracking
- Translation assets
- Operational reporting
- Specialist production services
Responsibilities are shared for:
- Workflow design
- Tool selection
- Quality measurement
- Process improvement
- Machine translation evaluation
- Linguistic testing
- Terminology development
- Capacity planning
The exact division should reflect the company’s size, internal expertise, and localization volume.
Practical takeaway: Outsource production, not ownership. If no one inside the company owns requirements and final approval, vendors can deliver correct translations for the wrong priorities.
What to keep in-house
The hybrid model above summarizes the split. Below is what each internal responsibility looks like in practice.
The internal team should retain work that requires close knowledge of the product, organization, customers, and growth strategy—starting with a clear owner (localization manager, product manager, international growth lead, or similar) who coordinates stakeholders and keeps localization inside product and content processes.
That owner should define localization strategy: why the company enters a market, which languages and content launch first, what customer experience to create, and what budget and timeline are realistic. They should also own content readiness—who creates and approves source text, where it lives, how often it changes, and who answers contextual questions. A vendor cannot compensate indefinitely for unclear or unstable source content; see why localization starts earlier than you think.
Market and language priorities should tie to revenue, adoption, support coverage, and regulatory needs—not traffic alone. The company should own core terminology (product names, feature names, tone of voice, do-not-translate terms) even when a partner maintains glossaries. Quality expectations must be explicit: which errors are unacceptable, which content needs publication-level polish, who gives final approval, and how disagreements are resolved. Without that, vendors may overinvest in low-risk content or underinvest in critical content. For workflow choices by content type, see human vs. machine translation workflows.
The internal owner should understand how content moves through the organization—where localization begins, which systems are involved, who triggers work, and how localized content returns to the product. See how a localization process runs end to end for a reference model.
Language quality also needs product-level validation: layouts, user journeys, variables, and terminology in context—not only review in a translation platform. See LQA vs. proofreading for what in-context review catches that file review misses. Business impact—conversion by language, adoption by market, launch delays—is usually measured internally, even when the provider reports operational metrics.
What to outsource
Activities that need large multilingual teams, specialist skills, or variable capacity are strong outsourcing candidates:
- Translator recruitment and management
- Translation, editing, proofreading, transcreation, and MTPE
- Structured linguistic QA and workflow administration
- Localization engineering (file prep, integrations, string extraction)
- Multimedia production (subtitling, voice-over, desktop publishing)
- Machine translation and AI workflow setup
A partner can also absorb demand spikes from launches, campaigns, and documentation updates without the company maintaining a large permanent team between projects.
Outsourcing execution does not remove the need for internal judgment on engines, post-editing tiers, and which segments require human review—see human vs. machine translation workflows. For how to work effectively with a language service provider, read the guide to outsourcing localization.
When building in-house may make sense
A larger internal team may be justified when:
- Localization volume is consistently high
- The product changes continuously
- Localization is central to the business model
- The company operates in a small number of strategic languages
- Highly specialized domain knowledge is required
- The company needs immediate daily collaboration
- Strict confidentiality requirements apply
- Local teams already have appropriate language expertise
- The organization has enough work to support permanent specialists
Even then, external providers may still supply additional languages, overflow capacity, specialist services, or independent quality review. See also building a localization team for roles and hiring considerations.
When outsourcing more may make sense
A provider-led model can be particularly effective when:
- The company is entering several languages quickly
- Internal localization expertise is limited
- Demand is unpredictable
- Multiple specialist services are needed
- Recruiting language professionals would be slow
- The company wants to test markets before hiring
- Content volumes fluctuate
- The internal team needs to stay lean
- Localization technology and workflows still need to be designed
Outsourcing can shorten the path to a functioning program, provided the company retains a clear internal owner.
Common outsourcing mistakes
Outsourcing without internal ownership
When no one inside the company is responsible, vendors receive conflicting instructions and priorities.
The result may be operationally correct but strategically weak.
Sending unfinished source content
Poorly written, inconsistent, or frequently changing source material increases questions, rework, and cost.
Source-content quality is part of localization quality.
Treating every content type the same
A vendor needs to know which content is high risk, highly visible, or time sensitive.
Otherwise, the same workflow may be applied to everything.
Relying on informal internal reviewers
Employees who speak a language are not necessarily trained translators or reviewers.
Unstructured feedback can introduce subjective changes, delay launches, and create conflict with approved terminology.
Reviewers need a defined role, instructions, deadlines, and an escalation process.
Evaluating only price per word
The cheapest rate may not produce the lowest total cost.
Consider:
- Project management
- Engineering
- Rework
- Delays
- Internal review time
- Quality failures
- Tooling
- Additional services
- Vendor responsiveness
See the localization cost guide for what actually drives total spend.
Failing to share context
Providers need access to:
- Screenshots
- Product information
- Audience details
- Style guides
- Glossaries
- Previous translations
- Character limits
- Reference materials
Context improves both quality and speed.
Questions to answer before choosing the model
Before deciding what to outsource, ask:
- How many languages does the company support?
- How much content does it produce?
- How frequently does it change?
- Which content types carry the most risk?
- What expertise already exists internally?
- Who will own localization?
- Which systems must be integrated?
- How much demand variation should the team expect?
- Which quality checks must happen inside the product?
- Which capabilities would be difficult to recruit or maintain?
The answers will reveal where internal control is essential and where an external partner can create leverage.
Outsource the work, not the understanding
A localization provider can manage translators, technology, workflows, and quality processes.
But the company should still understand:
- What it is trying to achieve
- Which content matters most
- How the workflow operates
- What quality means
- Who makes final decisions
- How localization contributes to international growth
The strongest operating model preserves internal knowledge while using external expertise to scale.
For a broader guide to localization planning, content profiling, workflows, and maturity, see A Practical Localization Strategy for Growing Products. Related guides cover why localization starts earlier than many teams expect and human vs. machine translation workflows.
Stas Kharevich has spent more than 16 years at Alconost and leads localization for product and software teams—SaaS, games, and marketing content among them. The video clip in this guide is from his conversation with Linh Nguyen on the Localize the World series. Read more from Stas on how Alconost runs localization.
