OrgLogic
OrgLogic is an enterprise AI workspace that combines AI chat, a Company Brain knowledge layer, AI agents, and governance in one platform. It is marketed as a way for organizations to give every model, copilot, and agent access to a shared, governed knowledge base instead of each team rebuilding retrieval, prompts, connectors, permissions, and memory separately. The platform connects to enterprise systems such as Salesforce, Slack, Google Workspace, SharePoint, ServiceNow, and GitHub, keeping data in source systems while reading across them. Answers are grounded in company knowledge and cite sources such as documents, tickets, or threads. Access follows existing permissions so users and agents see only what they are entitled to. OrgLogic also provides enterprise AI agents and an AI governance platform, with support for MCP so Copilot and other MCP-compatible tools can draw on the Company Brain in a permissioned and logged manner. It targets cross-functional enterprise teams including HR, IT and security, finance, marketing, operations, legal, product and engineering, customer support, and sales. Pricing on the homepage mentions a free plan for 25 users with $500 in credits and no credit card required, alongside demo booking for enterprise discovery. No public GitHub repository or open-source license details were available in the provided sources.
- Category
- AI/ML
- Pricing
- Free
Problem solved
Enterprise AI adoption often fragments across teams, causing duplicated retrieval pipelines, prompt libraries, connectors, permissions, and memory. Employees also use unsanctioned AI tools, leading to shadow AI and data exposure. OrgLogic addresses this by providing one governed AI workspace and a permission-aware Company Brain that connects enterprise knowledge, powers AI chat and agents, and maintains auditability and access control across models and copilots.
Use cases
- Provide a governed AI chat workspace across an organization
- Connect enterprise systems like Salesforce, Slack, Google Workspace, SharePoint, ServiceNow, and GitHub into a permission-aware knowledge layer
- Answer employee questions from internal company knowledge with cited sources
- Deploy enterprise AI agents for HR, IT, finance, marketing, operations, legal, product, sales, and support workflows
- Enforce access controls so users and agents only see data they are entitled to
- Centralize multiple AI models and reduce shadow AI and overlapping subscriptions
- Connect AI copilots to company knowledge via MCP with logging and permissions
Audience
- Enterprise
- Business Users
- Product Managers
- Developers
Pros
- Centralizes AI chat, agents, and knowledge into one governed workspace
- Answers are grounded in internal company knowledge and include citations
- Access controls follow existing permissions for users and agents
- Connects to common enterprise systems such as Salesforce, Slack, Google Workspace, SharePoint, ServiceNow, and GitHub
- Supports MCP so external copilots can access the Company Brain with permissions and logging
Cons
- Requires integration and governance configuration across enterprise systems
- Enterprise pricing and limits beyond the free tier are not detailed in the provided source
- No public GitHub repository or open-source license information was available
- Effectiveness depends on the quality and connectivity of source systems and permissions data
Official website: https://www.orglogic.ai/
Canonical LambdaBase page: https://www.lambdabase.com/tools/orglogic