Guru is a governed knowledge layer for enterprise AI that structures, verifies and continuously improves company knowledge so every person and AI tool receives answers they can trust. It detects conflicting versions, merges duplicates, drafts documents from Slack threads, flags stale pages such as outdated SharePoint content, and routes updates to the right experts for review. Content gains verified status as usage increases, answers are scoped by role, and citations appear on each response. Security features include SOC 2 Type 2, HIPAA readiness, enterprise SSO, built-in DLP, configurable guardrails and full audit trails.
Guru serves operations leaders, knowledge managers, support teams, sales enablement, IT and HR groups in mid-size and large companies that already run AI assistants and worry about wrong answers. Regulated organizations such as healthcare providers value the permission-aware design and audit trail, and teams that maintain playbooks, policies, runbooks and escalation procedures benefit from automatic upkeep instead of manual quarterly reviews. Buyers typically start by talking to sales rather than signing up on their own.
Typical scenarios include pushing a playbook to a sales rep in the moment, surfacing a policy or compliance document when a question is asked, auto-resolving an IT request and delivering HR policy answers inside Teams. Knowledge teams use the gap reports to find unanswered questions and captured repeated Slack questions, then publish new content. Product documentation, revenue definitions such as ARR and MRR logic, security controls and meeting summaries can all be governed in one place. Cartwheel Care moved from 60 percent to 100 percent of knowledge assessed and verified using its quality automations.