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Ronja April Update! Most AI tools today are single-player. Every employee connects their own tools, builds their own prompts, starts from scratch. That breaks the moment you try to scale it. April was about building the shared layer. Workflows. LLMs are probabilistic. Your monthly revenue report should not be. Workflows turn any analysis into re-runnable code that guarantees the same output every time. Same structure, same formatting, same logic. Every month. Connect to anything. If a service has API documentation or an MCP server, Ronja connects to it. Instantly. Integrations are set up once and shared across the organization with granular access control. No more fragmented setups where every employee connects to every tool independently. Skills that scale. Build a procedure once, share it with everyone. Skills are now version-controlled organizational assets, improvable through change requests. One team member builds a better way to pull pipeline data, and that procedure is available to every conversation across the company. Shared knowledge, crowd-sourced. Every correction, every KPI, every business rule that any team member provides contributes to the knowledge graph for the company. In a managed and auditable way. The graph converges toward the real, tacit knowledge of your organization. Governance built for teams. Personal to pending to shared. Edit drafts, review before publishing, audit log on everything. The layer that makes AI safe for organizations above twenty people. Plus: redesigned chat with thinking blocks and drill-in details, scheduled jobs you can actually operate, approval gates for sensitive actions, dynamic tables, admin mode, three rebuilt flagship pages, and a lot more. You can find more info at -> news -> release notes. It is now easier then ever to build a dashboard for your business, check out the video.

Your data lives in several systems. Public benchmarks live somewhere else. The analysis lives in someone’s head. Agents connect all three. Automatically. On repeat.

Ronja now connects to everything. Instantly. Most integrations take under 10 minutes. Just point to where your data lives, and it guides you through the setup. This is how we demo Ronja today: Log in → follow the steps → 20 minutes later, your core systems are connected. While the AI runs, we don’t talk setup. We talk about your business. This is what self-serve was supposed to feel like. We recorded a quick example using HubSpot (but it works the same way with any system).

Every number links to real code, real rows, real lineage. Not a generated summary. Ronja runs ad-hoc queries in a governed, last-mile execution layer, off your warehouse, with workspace-level access control and full query logs.

The first support agent for data requests. Fully traceable results in a governed last-mile ETL layer. Gain insights to the most common questions, data gaps, and divergent metric definitions.

Your team spends half its time on ad-hoc Slack questions. Ronja handles them in a governed last-mile ETL layer. Observable self-service analytics at scale. Every query logged, every answer traceable, zero hallucinations.