Workato

Every team in a big company is now building its own AI agents, and that's how you end up with silos, blind spots and a pile of one-off code nobody wants to own. Sales has a bot hitting Salesforce, IT has something poking ServiceNow, HR wired up Workday, and nobody can tell you which models are being called, what they cost, or who approved them. Workato's pitch is aimed squarely at that mess. It calls itself "the control & execution platform to govern AI, connect apps and data, and orchestrate workflows and agents," and it's built on top of the integration platform (iPaaS) the company has been selling to enterprises for years.

The structure is split in two. The Control Plane handles governance: centralized identity, policy, approvals, security, observability and cost controls across every model, agent, workflow, API and MCP interaction. The Execution Plane does the actual work: deterministic orchestration, a context graph of your enterprise data and processes, connectivity to 17,000+ apps, APIs, databases, files and MCP servers, and one elastic runtime you don't have to manage. On top sits AIRO, a multi-agent system Workato pitches as your data scientist, architect, forward deployed engineer and IT ops person rolled into one, and it works inside Claude, Codex and Cursor as well as Workato itself.

The credentials are real. Workato claims 100M+ tasks automated per month, 4.9 on Gartner Peer Insights, 4.7 on G2, and eight appearances as a Leader in the Gartner Magic Quadrant for iPaaS. Vodafone's VOIS unit calls it "the glue" connecting its systems. But be clear about who this is for. The site talks almost entirely to enterprise architects and IT leaders, the pricing page doesn't list tiers, and the main paths are "Start for free" or "Talk to sales." If you're a small team that just wants to wire up a few SaaS apps, this is probably more platform than you need. If you're the person trying to stop agent sprawl across a large org, it's one of the most serious options out there.