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For years, SAP leaders have been told a familiar story: Scale carefully. Don’t outgrow your infrastructure. Hope your next acquisition fits inside your existing SAP footprint. Behind the scenes, many SAP teams have been managing risk not by innovating, but by working around the limits of their storage platforms. CIOs, for example, are increasingly prioritizing platform consolidation, with 75% of organizations pursuing vendor consolidation as fragmented, aging architectures become harder to manage.

An agency-friendly tool cuts reporting time per client without turning every dashboard question into a support ticket. An Account Director sits down two hours before a monthly client call, sees the same pattern again, and opens PowerPoint. The dashboard exists, but the client never “gets it” without a guided tour, so the agency rewrites the story every month to prevent confusion and churn. A dashboard your client can’t read independently is a service ticket waiting to happen.

Zapier connects to 8,000+ apps. Databox connects to 130+. So why would anyone choose Databox MCP? The answer: they’re built for different things.

You can build Data Apps inside Keboola with Kai. But what if you prefer working with Keboola via MCP, in Claude Code, Cursor, or another AI-powered editor? Want to build a JavaScript Data App that Kai doesn't support yet? That's what the Keboola AI Kit is for. It's a set of skills you install into your agent so it knows how to work with Keboola - how to query your data, how to structure a Data App, how to deploy it. Here's how to set it up.

For most finance teams, the journey from annual planning through to financial close is anything but smooth. Spreadsheets pile up, emails get lost in inboxes, and critical financial data lives in disconnected systems across business units. The result? Delayed decisions, eroded profitability, and a planning process that exhausts the very people responsible for driving the organization forward.

By Adam Wolf This blog covers the topic of ClearML Vaults as it relates to enforcing AI infrastructure policies within an organization. It accompanies our Enterprise AI Infrastructure Security YouTube series. Watch the corresponding video below.