We Build the Engine for Autonomous Enterprise Work.

AI agents are only as good as the data they can understand. And most enterprise data isn't understandable to them — even when it's technically accessible.

What AI agents see today are tables. Rows of orders, line items, account numbers — without clear relationships, without ownership, without context. A purchase order without the email thread behind it. A credit block without the approval history. Data that exists, but means nothing on its own.

And that's only the 20% that's structured. The other 80% of enterprise business — the decisions, the approvals, the exceptions, the context — lives in emails, contracts, and chat threads. AI agents currently cannot see any of it.

Without both layers, agents can report on what happened. But they can't understand why, who needs to act, or what the right next step is.

We built the Contextual Data Engine to change this. It doesn't just pass raw tables to an agent — it translates structured systems and unstructured communications into relational, contextual data that AI agents can actually understand and act on. That's the missing layer. That's Rollio.

And because enterprise processes are never static — policies change, exceptions evolve, new systems come online — the Contextual Data Engine continuously adapts. It detects shifts automatically, updates its understanding, and keeps agents operating on the current version of your business reality. Not the version from your last implementation project.

SAP, Salesforce, and Celonis are all building toward this vision. Their roadmaps are compelling. Their production-ready timelines are 2027–2028. Rollio exists today. Enterprises that need AI agents executing real work right now don't have to wait for their vendor's next major release — they can deploy in weeks and see outcomes in the first 30 days.