Sensay AI Offboarding

Product Introduction

1. Sensay AI Offboarding is an enterprise platform that systematically captures institutional knowledge from departing employees through AI-driven interviews, document analysis, and conversational chatbots. It converts individual expertise into a searchable knowledge base accessible to teams post-departure.
2. The product addresses the $31 billion annual cost of corporate knowledge loss by transforming offboarding into a structured process that preserves operational insights, accelerates replacement training, and maintains organizational continuity through AI-curated knowledge retention.

Main Features

1. The platform employs Sophia, an AI interviewer that conducts voice-based exit interviews using natural language processing to extract tacit knowledge through contextual questioning and follow-up prompts.
2. Sensay integrates multi-source data ingestion, processing uploaded documents (PDFs, slides, spreadsheets) with optical character recognition and semantic analysis to cross-reference information with interview transcripts.
3. Enterprise teams access preserved knowledge through an encrypted chatbot interface that supports natural language queries, automated document generation (SOPs, onboarding guides), and API integrations with common HR tools like Workday and BambooHR.

Problems Solved

1. The system prevents critical knowledge gaps caused by employee turnover by capturing both documented processes and undocumented experiential insights that typically leave with departing staff.
2. HR departments and operations managers in organizations with high turnover rates (tech, healthcare, consulting) benefit from reduced onboarding time for replacements by 40% through immediate access to role-specific knowledge.
3. Typical implementations involve preserving institutional memory from retiring senior employees, capturing sudden departures' emergency knowledge transfers, and maintaining consistency in customer-facing roles during team expansions.

Unique Advantages

1. Unlike manual exit interviews or static document repositories, Sensay uses machine learning models trained on 50,000+ professional knowledge domains to dynamically probe for implicit knowledge during interviews.
2. The platform's proprietary Contextual Knowledge Graph technology maps relationships between processes, stakeholders, and historical decisions, enabling contextual answer generation even after employees depart.
3. Sensay demonstrates measurable ROI with 3x reduction in knowledge-search time through its AI-powered search engine that outperforms traditional keyword-based systems by 68% in accuracy metrics.

Frequently Asked Questions (FAQ)

1. How does Sensay ensure data security during knowledge capture? All data undergoes AES-256 encryption at rest and TLS 1.3 protection in transit, with granular RBAC controls that limit access to authorized personnel through SAML 2.0 integration.
2. What technical setup is required for implementation? Organizations can deploy Sensay within 2 days through pre-built connectors for major HRIS platforms, requiring only employee email lists and calendar permissions to schedule automated interview workflows.
3. Can the system capture both technical and soft skills knowledge? The AI interviewer adapts questioning strategies to extract hard skills (software configurations, technical processes) and soft skills (client negotiation tactics, team dynamics) through domain-specific conversation models.
4. How does the chatbot access historical knowledge? Employees query the knowledge base using natural language commands that trigger semantic search across all stored interviews and documents, with response accuracy verified through confidence scoring algorithms.
5. What compliance standards does the platform meet? Sensay maintains SOC 2 Type II certification, GDPR compliance for European users, and automated data retention policies that align with CCPA requirements for employee information deletion.