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.

Automated reporting saves your team’s time. AI analytics saves your client relationships — and wins you new ones. Automated reporting for clients means your agency pulls performance data from every agreed source through APIs into one system, applies consistent metric definitions and formatting, and delivers the same client-ready view on a schedule — without anyone copying and pasting.

Your data’s never lived in one place. Customer records might be in your CRM, while sales and operational metrics are split among data platforms. And somewhere, there's critical budget data living in a spreadsheet, owned by a single person on the finance team. Bringing it together has always come at a cost of speed vs. governance.

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.

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.