AI interview sessions
Runs AI-led interviews with departing employees to capture role nuances and tacit knowledge that may not appear in handover docs.
Sensay
ReclamarSensay is an offboarding platform that interviews departing employees, organizes their knowledge, and makes it available to the team through an AI chat assistant. It is designed to help organizations preserve tacit know-how during employee transitions.
Overview
Sensay is an offboarding platform built to capture and preserve team knowledge before employees leave. Its core workflow centers on AI-led interviews with departing staff, then organizes the captured material into a knowledge base that the wider team can query afterward.
The product is positioned for organizations that want to reduce knowledge loss, improve handovers, and make expertise available after someone moves on. The site also shows Slack, Teams, and web access for conversational search, along with custom document generation and secure storage controls.
Core features
Document integration
Lets teams upload files, links, and context so the captured knowledge can include supporting materials alongside interview output.
Conversational search
Makes captured knowledge queryable through an AI chat assistant, with access shown through Slack, Teams, and the web.
Document generation
Supports custom documents on demand, giving teams a way to turn interview output into reusable reference material.
Admin management
Provides admin controls to track progress, customize interviews, and manage access across the knowledge base.
Secure storage
Stores knowledge with AES-256 encryption at rest, TLS in transit, and role-based access controls.
Common use cases
Employee offboarding
HR teams can use Sensay to structure exit interviews so important process knowledge is captured before a person leaves the company.
Knowledge retention
Managers can preserve role-specific context, project details, and tacit know-how that would otherwise be lost during handover.
Onboarding support
New hires and replacements can query the stored knowledge base for answers instead of depending entirely on a predecessor’s availability.
Reference document creation
Teams can convert interview output into custom documents for repeated reference across future transitions.
Multi-transition coordination
Organizations with multiple departures or broader knowledge-transfer needs can centralize interview sessions and access controls in one knowledge base.
Pros and Cons
Pros
- Captures tacit knowledge through AI-led interviews instead of relying only on handover documents.
- Combines interviews, uploaded documents, and contextual notes in one knowledge base.
- Lets teams query captured knowledge through familiar collaboration surfaces like Slack and Teams.
- Includes admin controls for access management and interview customization.
- Uses encrypted storage and role-based access controls to protect sensitive knowledge.
Cons
- The site does not provide detailed integration documentation beyond Slack, Teams, and web access for conversational search.
- Pricing is public, but deeper plan limits and enterprise terms are not shown on the pages provided.
- The source does not include a full compliance or security certification list.
FAQ
How does Sensay work during offboarding?
Sensay is set up around an offboarding workflow: you add your organization, invite the departing employee, and Sensay schedules and runs the interview process.
How do teams access the knowledge after an interview?
The source shows the team can access captured knowledge through Slack, Teams, or the web, and can also generate custom documents on demand.
What is included with a knowledge base?
The pricing page states that each knowledge base includes AI-led interview sessions, document integration, secure storage, conversational search, and full admin control.
What is Sensay best suited for?
Sensay presents itself as an offboarding platform for capturing and preserving expertise from departing employees, so it is best suited to organizations that want to retain tacit knowledge rather than a general knowledge base for all internal content.
What security information is available?
The source mentions AES-256 encryption at rest, TLS in transit, and role-based access controls, but does not provide a full compliance certification list.
Quick Facts
- Category
- Offboarding platform / AI knowledge transfer
- Platform access
- Slack, Teams, web
- Primary users
- Organizations managing employee departures and knowledge transfer
- Pricing
- $500 per knowledge base per year
- Security
- AES-256 at rest, TLS in transit, role-based access controls
- Website
- sensay.io