World of Workato 2025 centered on moving AI from hype to actionable enterprise impact, showcasing agentic automation (and our new favorite term for AI Agents, “Genies”), deep orchestration across core systems, hands‑on customer success stories, rapid product iteration, and a culture that emphasizes customer collaboration and governance to drive measurable KPIs. We’re operating in rapidly evolving times where a new acronym emerges every week and solutions expire before they’re an MVP. Research struggles to keep up with market velocity. it can be hard to separate the signal from the noise. And the reality is everyone is telling a different story about the same thing: Agents.
Except for Workato. They’re doing something different and incredibly smart.
Think about when chatbots came out. No one bragged about deploying 1 billion chatbots because that would be weird. They boasted about faster service times and customer satisfaction. When automation made it easier for your bag to arrive on time, no one talked about the scanners or the tech powering that, airlines began elevating their traveler experience. The same will be true with agents. It won’t be the companies that promised to deploy x number of agents that win the AI game, it will be the companies that created real business value through them that succeed.
That’s exactly why we’re impressed with Workato’s approach. They’ve identified the mission critical business cases where agentic AI will have real impact. They’re laser focused on adding value vs inflating the hype. In the words of their Chief GTM officers Chandar Pattabhiram, “There’s a lot of noise in AI, but we’ve taken a different approach to bring AI to life – to make it actionable AI rather than experimental – applying it to core business processes.” And they’ve made getting started a piece of cake – literally. You can hear him discuss the cake analogy and Workato’s vision in our interview from the show floor.
You can learn about their array of Genies, customer use cases, and company vision through our robust coverage of WOW. Here are our key takeaways:
- Agentic Genies Portfolio and Demonstrations
Workato unveiled and demonstrated a portfolio of prebuilt, layered AI agents—branded as “Genies”—that spanned IT, HR, onboarding, finance and more, showing how multiple Genies could be combined to take data to action across hundreds of applications. - Workato ONE, GO and Command‑Center Vision
The company emphasized Workato ONE (unified orchestration and agentic stack) and introduced Workato GO as a cockpit/command center to discover, run and orchestrate agents, unifying enterprise search, agent execution and task orchestration - Real Customer Outcomes and KPIs
Multiple customer stories highlighted tangible ROI: SentinelOne reported drastic CPQ time reductions (from ~30 minutes to under 2 minutes / ~50% reduction framing), Amplitude saved about 4,000 hours by deploying agents across functions, and other customers reported multi‑thousand‑hour and cost savings. These are business outcomes already realized, not hypothetical - Show, Don’t Tell — Hands‑On Customer Participation
Workato stressed a show‑not‑tell approach: many features had been piloted with customers for over a year (notably 80 customers with early access), and the company practiced open, customer‑centric product development that fostered long‑term partner and customer loyalty - Scale, Metrics and Platform Momentum
Executives cited platform scale and rapid shipping: thousands of customers and builders, hundreds of millions/billions of automated tasks historically (and dozens/hundreds of new features delivered), plus statements about rapid feature velocity (e.g., 700 feature updates in the prior year) - Governance, Trust and the GEARS Methodology
Workato framed AI adoption around governance and trust—presenting frameworks (GEARS: Govern, Enable, Adopt, Run, Scale) and platform capabilities (Agent Knowledge Graph, Model Context Protocol) to ensure agents operated with enterprise context and accountability - AI Research and Product Investment
Workato announced investments in AI R&D – like the acquisition of xMAD.ai, building an AI Innovation Center with PhDs in San Francisco which that we are eager to check out – to advance agent behavior, synthetic data, and optimized model integrations for enterprise‑grade agents. - Augmenting Work, Not Replacing It
Our guests repeatedly emphasized that Genies were meant to augment employees (“AI coworkers” or “genius junior employees”), contrasting that stance with public examples of opaque layoffs; Workato positioned agents as tools to free humans for higher‑value work while keeping people in control
Analyst Angle:
Many companies are leaning on the smoke and mirrors effect of ‘drinking their own champagne’ as indicators of AI and Agentic traction. But forcing your employees to retool so you can say you have x users or x agents doesn’t create value, solving problems does. When we’re on the base layer of a yet baked cake, we have to rely on our instincts. We have to be thoughtful about each ingredient. And sometimes you have to communicate about tech in a way that’s digestible to all palates. The Workato bakery is one we’re keeping a close eye on.
