Guru | Integration with Yuma AI
Guru is a governed knowledge layer designed to sit between scattered company information and the AI tools that consume it. The product is built around the problem that around half of all AI responses contain inaccuracies when the underlying knowledge is not verified, and Guru's role is to structure that knowledge, govern who can access what, and continuously keep it accurate. The platform's solutions include Knowledge Management Automation, Enterprise AI Governance, Workplace AI Chat & Research, Enterprise AI Search, an Agentic Knowledge Base, and Team Hubs for departments. Knowledge Agents are Guru's AI capability that not only finds information but also flags duplicates, detects conflicting versions, drafts updates from Slack threads, captures repeated questions, and routes content to subject matter experts for review. Customers include Shopify, SeatGeek, Lemonade, TravelPerk, Cartwheel Care, and Steno, with Steno specifically reporting it cut support volume in half using a Knowledge Agent built in days.
Yuma & Guru
Yuma AI integrates with Guru and can use Guru as a knowledge base source. With the integration in place, Yuma has direct access to the policies, processes, troubleshooting guides, product documentation, and internal answers a brand has codified inside Guru, and uses that knowledge as grounding when generating support responses. Because Guru maintains a single, governed source of truth across teams, the same content that human support agents already rely on becomes available to Yuma in the same form, with the same governance and verification rules attached. Updates made inside Guru flow through to Yuma's responses without needing a separate sync into the support workflow. Yuma uses Guru's knowledge alongside helpdesk integrations like Gorgias and Zendesk.
Key Features of Guru
Knowledge Agents for Automated Upkeep
Knowledge Agents are Guru's AI layer for active knowledge management. They auto-verify content as usage increases, unverify non-compliant content, generate draft updates, flag stale pages, propagate corrections everywhere a fact appears, route content to experts for review, detect usage spikes, and archive outdated content automatically. The capability is positioned as a way to move from manual knowledge upkeep to a continuously self-improving knowledge base.
Enterprise AI Governance
Guru's AI Governance solution gives enterprises one approved source of truth that AI tools across the organization can pull from. This includes scoped access (so AI answers respect role-based permissions), citations on every answer (so responses can be traced back to source documents), and configurable guardrails on what content AI can use.
Workplace AI Chat and Enterprise Search
Workplace AI Chat & Research and Enterprise AI Search let employees ask natural-language questions and get cited, verified answers pulled from across the company's connected knowledge sources. Guru positions this as a replacement for hunting through disconnected wikis, Slack threads, and SharePoint pages.
Permission-Aware AI and Security
Guru is built for enterprise security requirements: SOC 2 Type 2, HIPAA-ready, permission-aware AI that respects role-based access control, full audit trails on AI activity, enterprise SSO, and built-in data loss prevention. Configurable guardrails let admins control exactly what AI can and cannot surface.
Workflow Embedding
Knowledge surfaces directly inside the tools teams already use, including Slack, Microsoft Teams, Chrome, and the Model Context Protocol (MCP) layer that connects Guru to AI clients like Claude. The goal is to deliver answers in the workflow rather than requiring people to context-switch into a separate knowledge tool.
Team Hubs
Team Hubs give individual departments, including HR, IT, Customer Support, Sales, Marketing, Product, and Learning & Development, a tailored space inside Guru for their specific knowledge, while still drawing from and contributing to the company-wide source of truth.
Why use Guru?
Built for AI Accuracy at Enterprise Scale
The core argument for Guru is that AI is only as accurate as the knowledge feeding it. Guru is positioned not as another knowledge tool, but as the governance layer that sits underneath every AI workflow. The platform reports that customers move from roughly 60% of knowledge assessed and verified to 100% after deploying Guru's quality automations.
Measurable Workflow Impact
Customer-reported outcomes include 10x AI workflow performance and 2x employee productivity, with Steno reducing support volume by half using a single Knowledge Agent. These outcomes are positioned as the operational case for treating knowledge as governed infrastructure rather than as scattered documentation.
Cross-Functional
Guru is used across HR, IT, Engineering, Sales, Marketing, Customer Support, and Learning & Development, which means a single deployment can serve the whole company's knowledge needs rather than just one department. For brands integrating Yuma in customer support, this matters because the same Guru instance can supply Yuma with knowledge while also serving every other team.
Getting Started with Guru
To get started with Guru, book a demo. For details on how the platform works, see the How Guru Works page and the full features list. For specific solutions, see the pages on Knowledge Management Automation, Enterprise AI Governance, Workplace AI Chat & Research, Enterprise AI Search, and the Agentic Knowledge Base. For pricing, see the Guru pricing page. For the integrations directory, see Guru integrations. Developers can review the Guru developer documentation and the Guru help center.
