In today’s enterprises, team communication often turns into “coordination theater,” where more time is spent talking than doing. Tools like Slack and Teams enable rapid discussions but don’t provide the consistent, secure context AI agents need, leading to inefficiencies such as AI hallucinations or repeated clarifications.
PromptQL, a spin-off from the GraphQL company Hasura, is reshaping this dynamic. It converts everyday team messages into a secure, living internal wiki — a persistent source of actionable, proprietary data that evolves alongside your organization. This AI-native workspace automatically tags, assigns, and documents tasks without manual input, turning conversations into immediate, executable actions.
PromptQL’s key innovation is its Shared Wiki, which accumulates context as teams work, preventing AI memory loss or outdated data errors. This wiki organically connects knowledge “islands” across tools like Salesforce, Snowflake, and Zendesk. Human oversight ensures only valid info is added. The virtual SQL layer queries data live without replication, enhancing security and accuracy.
Supporting a broad range of AI models and workflows, PromptQL allows seamless delegation to specialized agents like Claude Code. For example, it can detect and fix code issues in real time, update documentation, and generate reports by connecting disparate data—all within familiar chat threads.
Security is paramount, with fine-grained access control and approval processes guarding sensitive actions. Pricing is usage-based, rewarding broad adoption without penalizing team size. Enterprises benefit from dedicated infrastructure options that guarantee data sovereignty.
As organizations seek AI that acts securely and reliably, PromptQL replaces static chat tools with a collaborative environment where AI agents and humans work side by side, accelerating productivity while maintaining rigorous compliance. This platform paves the way for actionable AI adoption at scale, eliminating coordination inefficiencies and unlocking new levels of team effectiveness.
