You’ll never go global alone.
From onboarding to optimization, our language experts work alongside your team to make sure every deployment succeeds.
Because technology is only as strong as the people who stand behind it.
A partner, not just a platform.
Our Customer Success and Linguist teams work alongside your support organization to deploy, tune, and continually improve translation quality across every workflow.
Consultative onboarding
We take a hands-on approach from the start, guiding you through setup, integrations, and best practices for AI translation deployment.
Tailored configuration
Each workflow is customized to your content types and goals, using the right balance to achieve the quality your brand demands.
API integration support
Our experts help you connect Language IO to your CMS or existing applications, ensuring translations flow automatically with minimal lift from your team.
Brand-aligned customization
Co-developed glossaries and style guides keep your brand voice and technical language consistent across all content and channels.
Continuous monitoring
Our Machine Translation Quality Manager tracks key metrics like Flag and Retranslation rates to ensure performance stays high over time.
Data-driven optimization
We analyze real translation data to refine engine selection, update glossaries, and improve translation accuracy as your business evolves.
Real people. Real partnership.
Our linguists, engineers, and success managers bring deep language expertise and enterprise experience to every stage of your journey. They know your industry, your systems, and the nuances that make your brand unique. When you launch with Language IO, you don’t just get technology, you get a team that scales with you.
Great technology is easy to find. What’s rare is a partner who answers the phone, understands your world, and stays with you long after launch.
That’s what our team does every day.
Melonie Keeffe
Chief Customer Officer, Language IO
Empowering agents with effortless multilingual support right inside Salesforce.
A cost-saving, user-friendly solution that seamlessly fits into our workflows.
Our agents love it – minimal training, quick answers, and it just works.
Outstanding translations that make every interaction feel native to the customer.
Out-of-the-box, easy to use, and backed by amazing support.
Real-time translation right inside the case, best app ever!
Handles all our translation needs, from chats to knowledge articles, right in Salesforce.
Enables us to engage customers we don’t have live language support for and the team is fantastic.
A responsive partner that helps us hit our translation and localization goals.
The Customer Lifecycle
Onboarding
Launch fast. Launch with confidence.
Your onboarding begins with a dedicated implementation specialist who designs a setup plan aligned to your tech stack, language needs, and support goals.
Glossaries, integrations, and testing are guided step by step, so your team becomes fully operational quickly and with clarity.
Value Highlights:
- Tailored configuration and data integration
- Pre-launch testing and quality validation
- Clear timelines and go-live milestones
Training
Empowered teams from day one.
We train both agents and administrators to work confidently in multilingual environments.
Hands-on walkthroughs, clear learning materials, and live Q&A sessions ensure everyone understands how to use the tools, support customers, and maintain consistency from the start.
Value Highlights:
- Training programs for agents and administrators
- Live sessions with Language IO experts
Adoption & Optimization
Grow performance, not complexity.
After launch, your dedicated customer success manager stays involved to monitor adoption, usage, and outcomes across your support operation. We look for opportunities to strengthen accuracy, reduce handle times, and streamline workflows. Your Language IO setup evolves as your business expands, so quality and efficiency stay aligned over time.
Value Highlights:
- Ongoing optimization of translation quality and processes
- Scheduled business reviews and ROI analysis
- Guidance on feature expansion and automation
Partnership
Your support team’s support team.
Our global specialists are available around the clock, ready to step in with context on your configuration, workflows, and goals. Whether it’s guidance during a rollout, live troubleshooting, or clarity on a new feature, your team gets answers from people who already understand how you operate.
Value Highlights:
- Multilingual support available 24/7
- Fast responses from experienced product experts
- Ongoing guidance to keep your operation running smoothly
Expansion
When you scale, we scale with you.
As your business enters new markets or expands workflows, our professional services team helps extend Language IO across platforms, regions, and channels.
From new integrations to analytics and performance tuning, we ensure every phase of growth feels seamless and consistent.
Value Highlights:
- Custom API or integration support
- New-language rollout and tuning
- Scalable infrastructure and performance guidance
Questions? We’ve got answers.
FAQs
How long does it take to implement AI translation in a contact center?
Most enterprise software deployments are measured in quarters. AI translation implementation, when the vendor provides dedicated onboarding support, typically runs in weeks. The variables are integration complexity, the number of languages involved, and how much customization the workflow requires. A well-structured onboarding plan with clear go-live milestones compresses the timeline considerably.
What does AI translation implementation actually involve?
At minimum: connecting the translation layer to your CRM or ticketing platform, configuring it for your specific content types, building glossaries for brand and technical terminology, and validating performance before going live. The difference between a deployment that takes weeks and one that takes months is usually whether the vendor’s implementation team does that work with you or hands you documentation and steps back.
How much training do agents need to use AI translation tools?
Less than most teams expect, provided the tool lives inside the CRM they already use. When agents don’t have to learn a new platform, training focuses on workflow rather than software. The more substantive training requirement is on the admin side: understanding how to monitor translation quality, manage glossaries, and identify when a workflow needs adjustment.
What is a customer success manager and why does it matter for translation software?
A customer success manager is the person accountable for whether the software actually performs after implementation. In AI translation, that matters more than in most software categories because translation quality is not static. Language evolves, your product terminology changes, new content types get added. A dedicated CSM tracks those changes and adjusts the configuration before they become service quality problems.
How do companies maintain translation quality over time?
Translation quality degrades if no one is watching it. The metrics that matter are flag rates, retranslation rates, and customer satisfaction scores segmented by language. Companies that maintain quality treat those metrics as operational KPIs, not periodic audit items. Regular review cycles, glossary updates, and engine refinement based on actual usage data are what separate high-performing multilingual operations from ones that plateau after launch.
What does scaling multilingual customer support to new languages actually require?
Adding a new language to an existing multilingual support operation is mostly a configuration exercise rather than a staffing one, provided the infrastructure was built to scale. The operational work involves language-specific glossaries, testing with real content before going live, and ensuring knowledge base articles are accessible in the new language. The common mistake is treating each new language as a separate implementation rather than an extension of the existing one.
How do you evaluate a translation vendor’s support quality before signing a contract?
Ask specifically what happens after go-live. How is ongoing performance monitored? Who owns the relationship and what is their availability? What does escalation look like when something breaks at 2am in a market your team doesn’t cover? The vendors who have clear answers to those questions have built the support infrastructure. The ones who redirect to documentation haven’t.
How does Language IO approach implementation differently from other AI translation vendors?
Language IO assigns a dedicated implementation specialist who builds a custom plan for your tech stack, languages, and goals before a single line of configuration is written. Glossaries, integrations, and pre-launch testing happen in weeks. After go-live, a customer success manager monitors adoption, translation quality metrics, and workflow performance continuously, not on an annual review schedule.
What ongoing support does Language IO provide after deployment?
24/7 global support with people who know your specific configuration and history, not a generic help queue. Regular business reviews that include ROI analysis and recommendations for improvement. And when the business grows into new workflows, regions, or platforms, a professional services team that handles the expansion without starting from scratch.
