Building Internal Flashboards in Slack with AI

Flashboards is an internal, agent-driven reporting tool that replaces traditional dashboard builders with plain-language requests in Slack, producing secure, self-contained HTML pages connected to live data. Each board functions like a collaborative document with a stable link, URL-based filters, versioned drafts, publishing and rollback controls, and familiar link-sharing permissions, while a read-only query proxy enforces identity, limits, attribution, parameter binding, and other security constraints. Rather than relying on built-in visual defaults, the platform gives agents documented design standards, approved libraries, theme tokens, mobile guidance, and access through an MCP interface. Built using an existing internal deployment framework, Flashboards focuses its custom work on the reporting runtime, version model, and data proxy, but depends on well-modeled datasets, maintained business guidance, and distribution through agents and workplace tools. Within seven weeks, it reached 55 weekly readers, supported active authoring by 12 people, served thousands of live panel queries, and coincided with a substantial decline in use of the organization’s prior BI tool, suggesting that conversational reporting can be effective when supported by strong data governance and shared metric definitions.

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