Enterprise Knowledge Search
BambooHR needed employees to get accurate answers to routine HR questions without overloading HR teams, while also handling sensitive employee data, company-specific terminology, and strict privacy requirements such as GDPR.
Reported impact
Ask BambooHR now delivers precise, real-time answers that improve employee experience, answer tens of thousands of questions, save thousands of hours for HR professionals, and let HR teams focus more of their time on strategic work instead of repetitive inquiries.
BambooHR built Ask BambooHR as an AI-powered assistant inside the BambooHR platform to answer employee questions about policies, benefits, records, and company information. The system draws from centralized HR data such as organizational charts, employee records, and company manuals, then uses a retrieval pipeline designed with Cohere. Query and document understanding run through Cohere Embed so the platform can match meaning instead of keywords, which matters for industry-specific jargon such as the difference between '401k' and 'pension.' Cohere Rerank then sorts candidate results against the original question before the assistant returns a context-specific answer. The implementation respects existing data-access permissions, uses in-house automated evaluations plus customer beta feedback, and keeps the workflow aligned with GDPR and broader sensitive-data handling requirements.
An employee asks Ask BambooHR a question, Cohere Embed turns the question and HR content into semantic representations, the system compares the query against policies and records, Cohere Rerank sorts the best matches, and the assistant returns an answer that respects the user's data permissions.
Drawing from BambooHR's centralized data—including organizational charts, employee records, and company manuals
Employees have already used this to answer tens of thousands of questions, saving thousands of hours for HR professionals.
It also ensures GDPR compliance and secure handling of sensitive HR data.
The solution embeds user queries, compares them against company policies, for example, and reranks the results based on relevance to the original query
powered by Cohere Rerank and Cohere Embed
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
The official contact page JSON-LD lists streetAddress 42 Future Way, addressLocality Draper, addressRegion UT, and addressCountry US.
The public company page includes numberOfEmployees value 1858 and a PostalAddress with streetAddress 42 E Future Way, addressLocality Draper, and addressCountry US.
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