How AI-Powered Digital Twins Are Revolutionizing Workplace Knowledge Retention

The Problem of Disappearing Expertise

In today’s dynamic job market, employee turnover represents more than just staffing changes—it signifies a massive loss of institutional knowledge. When experienced employees depart, they take with them years of accumulated wisdom, project insights, and procedural expertise that can’t be easily documented in traditional manuals or training programs. This challenge has plagued organizations for decades, but a new startup founded by industry veterans believes they’ve found the solution.

Meet Viven: Preserving Corporate Intelligence

Viven emerges from stealth mode with an ambitious vision: creating digital replicas of employees that preserve their knowledge and working styles. Founded by Ashutosh Garg and Varun Kacholia—previously cofounders of AI recruiting platform Eightfold—the company brings together decades of experience building recommendation engines and personalization algorithms at tech giants including Google and IBM.

“The inspiration came from repeatedly witnessing the same problem across organizations,” explains Garg, Viven’s CEO. “Critical knowledge walks out the door every time an employee leaves, creating significant operational gaps and learning curves for their replacements.”, according to technology trends

How Digital Twin Technology Works

Viven’s approach involves creating AI-powered “digital twins” that learn from an employee’s digital footprint across various platforms:, according to technological advances

• Communication channels: Email, Slack, and Microsoft Teams conversations
• Documentation: Google Docs, presentations, and internal wikis
• Project management tools: Jira, Asana, and other workflow platforms

This training data enables the creation of an interactive persona that can respond to queries in a manner similar to the actual employee. The interface resembles popular AI chatbots like ChatGPT but is specifically tailored to individual work styles and knowledge bases.

Practical Applications in the Workplace

According to Garg, who uses his own digital twin regularly, the technology serves multiple functions:

• Brainstorming partner: Generating ideas and alternative approaches to challenges
• Communication assistant: Drafting responses to investor emails and customer inquiries
• Meeting preparation: Providing background information and talking points
• Knowledge retention: Summarizing customer escalations and project histories

Perhaps most significantly, employees can query their colleagues’ digital twins when the actual person is unavailable—whether due to vacation, illness, or after they’ve left the organization. This capability transforms how institutional knowledge is preserved and accessed.

Funding and Industry Reception

The startup has secured $35 million in seed funding from investors including Khosla Ventures, signaling strong confidence in both the technology and its market potential. This substantial early investment reflects the growing recognition that AI solutions for knowledge management represent a significant opportunity in the enterprise software space.

Ethical Considerations and Implementation Challenges

While the technology promises substantial benefits, it also raises important questions about privacy, data security, and the nature of workplace relationships. Companies implementing such systems must consider:, as additional insights

• Employee consent: How to ensure voluntary participation in digital twin creation
• Data boundaries: Defining what information should and shouldn’t be included in training data
• Usage policies: Establishing clear guidelines for when and how digital twins can be accessed
• Accuracy limitations: Managing expectations about the technology’s capabilities and potential errors

The Future of Work and Knowledge Management

Viven’s approach represents a paradigm shift in how organizations think about knowledge retention and transfer. Rather than relying on traditional documentation methods that quickly become outdated, digital twins offer a dynamic, interactive way to preserve institutional intelligence.

As this technology evolves, it could fundamentally change onboarding processes, reduce the impact of employee turnover, and create new possibilities for collaboration across time zones and schedules. However, successful implementation will require careful attention to both technical implementation and the human factors involved in adopting such transformative technology.

The emergence of AI digital twins marks a significant milestone in the ongoing digital transformation of workplaces, offering potential solutions to one of the most persistent challenges in organizational management.

References & Further Reading

This article draws from multiple authoritative sources. For more information, please consult:

• https://eightfold.ai/?gad_source=1&gad_campaignid=22829457067&gbraid=0AAAAADK0gjMRyJhQRvXFY9NCRzeIboJ-n&gclid=CjwKCAjwu9fHBhAWEiwAzGRC_1QYlW4wGJFbV7hI8PY47CLKjojXbc-UxWhsb8ltUZpSvnmykXvq6RoCaMcQAvD_BwE
• https://www.prnewswire.com/news-releases/viven-emerges-from-stealth-with-35m-in-funding-to-bring-ai-digital-twins-to-the-enterprise-302585135.html

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