Bridging the Babel: How AI-Powered Voice Translation Will Improve Claims
An injured worker, distraught after an accident, struggles to explain the predicament to an adjuster in a language they barely speak. This scenario, while all too common in insurance, is about to change.
While our industry strives for inclusivity, the reality is that non-English speaking individuals often face significant hurdles when navigating the claims process. Reliance on third-party interpreters for translation services presents practical challenges. These professional services can be expensive, require advance scheduling that’s difficult for claims staff to coordinate in real-time, and are subject to error introduced by paraphrasing and communicating technical terminology between languages. With the advent of artificial intelligence (AI), thought leaders are looking to an exciting innovation poised to bridge the language barrier and make claims processes easier for everyone: AI-powered real-time voice call translation.
Recent breakthroughs in domain-specific AI models have enabled, for the first time ever, high accuracy, low latency, and low hallucination voice-to-voice translation. This technology transcends what’s possible with traditional interpreter-driven translation, instantly breaking down communication barriers while preserving the nuances of language and emotion vital for effective claims handling. The result is cost efficiency, consistency, and accessibility unmatched by human interpreters.
Advancements in AI-powered translation have significantly reduced misinterpretations. Early solutions enabled bidirectional text messaging with automatic translation, allowing users to communicate seamlessly in their preferred languages. Recent developments have expanded these capabilities to audio-based conversations, preserving speakers’ original tone and nuances. Trained on extensive datasets, these voice-based systems minimize errors, capture subtle linguistic cues, and provide consistent, auditable records across languages. This enhances compliance, reduces disputes, and offers cost efficiency and accessibility that are challenging for human interpreters to match.
While this particular technology is new to our industry, “disruptive innovation,” as posited by Harvard Business School Professor Clayton Christensen, has a proven track record of long-term success. Christensen’s theory emphasizes that disruptive technologies often start by serving overlooked or underserved segments of the market, eventually displacing established players. In this case, AI-powered translation initially addresses the needs of non-English speaking claimants and policyholders, a segment often marginalized by traditional claims processes.
Here’s how this disruption might unfold:
- Enhanced Accessibility and Inclusivity:
- Real-time translation empowers non-English speaking individuals to communicate directly and easily with claims staff, reducing or eliminating the need for third-party interpreter services. This even extends to individuals no longer needing to navigate English-only phone trees or call centers to get a translator on the line.
- This fosters a sense of trust and transparency, which can lead to improved satisfaction.
- It allows companies to serve a broader demographic.
- Increased Efficiency and Reduced Costs:
- Eliminating the reliance on human interpreters translates to significant cost savings, both in the cost per call and the time it takes for a claims professional to coordinate a human interpreter.
- Real-time communication streamlines the claims process, reducing cycle times and administrative overhead.
- Automated transcription and translation provide valuable data for analysis, enabling insurers to identify trends and improve operational efficiency.
- Improved Accuracy and Consistency:
- AI-powered translation solutions, when properly trained, are more precise in their word-for-word translation as compared to the paraphrased translation of human interpreters, which helps to reduce miscommunication.
- The ability to record and analyze translated conversations provides a clear audit trail, enhancing compliance and reducing the potential for disputes.
- AI enables the use of specific industry vocabulary to be trained into the models, which greatly improves accuracy.
- Disruption of Traditional Services:
- Just as digital photography disrupted film, AI-powered voice translation will disrupt traditional translation services.
- While human interpreters will still play a role in complex or highly sensitive situations, the demand for their services could very well diminish with time.
- This shift may force traditional translation providers to adapt, potentially by focusing on specialized services or integrating AI into their offerings.
- Data-Driven Improvements:
- Translations and transcriptions can be used to monitor and ensure quality and improve the translation dictionaries specific for each client and language.
- Previously inaccessible audio and call data can be used to analyze trends in claims made by non-English speaking individuals and reduce bias from English-only datasets.
- Audio and transcription data can be used to monitor real-time risk and sentiment on the call, allowing insight into the individual’s current state and needs.
Implementing AI-powered voice call translation requires consideration: seamless connectivity into existing claim and phone systems; translations that can be instantly initiated; and recordings and transcriptions that automatically find their way into the claim file. Companies should be prepared to invest in training to ensure that claims staff are comfortable using this new technology, and just as important, that they’re comfortable making sure the non-English speaking claimant or policyholder feels understood and supported. Data security and privacy should also be top of mind so that sensitive information is protected and that jurisdictional laws surrounding recording and transcription are consistently followed.
The benefits of this technology, and the world it’s moving us toward, outweigh many of the challenges. By embracing this disruptive innovation, insurers can create a more efficient and cost-effective claims process. This is not simply about translation. It’s about building bridges of understanding, fostering trust, and ushering in an era of inclusive claims management.