Manager: Nishtha Mehrota / VP, Product Design and Research
Iliana Ishak / Product Design Manager
PM: Bennett Goh / Group Product Manager
Dev: Nikita Balakirev / Staff Engineer
B2B orchestration
SaaS, iPaaS
AI agent
Enterprise workflow automation
End-to-end design
Technical design
0-to-1 feature development
Web prototyping
Cross-functional collaboration
QA testing
As the sole designer, I led the end-to-end UX for Workato One, Workato’s flagship AI agent ecosystem, a unified agent platform for orchestrating enterprise workflows.
Over close to a year, I designed the core product suite and shaped the vision with PMs and engineers. Workato One was launched on March 27 (watch the demo from our Work to the Power of AI launch event).
What was the problem?
Enterprise automation is complex.
How did I solve it?
Genies shouldn't just solve edge cases, they should autonomously orchestrate mission-critical workflows with deep enterprise domain understanding, full builder control, and traceable impact.
🧠 Enterprise context = cognitive power
To enable intelligent decision-making, a virtualized knowledge layer is needed to give agents access to complete enterprise context without requiring data to be moved into a warehouse or building custom APIs. This unlocks the full cognitive power of LLMs by grounding them in real-time, structured business knowledge.
⚙️ Enterprise skills = actions
I designed enterprise skills, repeatable actions that agents can invoke safely from builders' existing recipe repository. They ensure autonomy doesn’t come at the cost of control, enabling genies to act within clearly defined boundaries.
📊 Intelligent, actionable insights
By connecting actions with context, genies can explain why something happened, not just what happened. This surfaces domain-specific insights tied to business outcomes that go beyond generic usage data.
What principles did my design process follow?
Pre-integrated with 1,200+ enterprise apps, genies are built for power and flexibility.
I designed the genie-building experience to be a guided journey where everything flows naturally, making it easy and enjoyable to create skills, approvals, and knowledge bases even for non-technical users.
Because the underlying technology is complex, I focused on making the experience feel simple and approachable. I prioritized explicit choices, everyday language, and visible logic, avoiding hidden states or technical jargon, so that both technical and non-technical users could confidently use the tools.
Genies intelligently suggest and execute actions from 750,000 enterprise skills in real time, leveraging custom data to ensure that users' needs are met 24/7.
I took a systematic approach to redefining how users interact with genie actions, solving challenges like runtime user connections, recipe verification, and balancing automation with human control.
Security and controlled access are critical for genies, as sensitive information must only be available to the right users.
I designed a scalable user access model that enforces group- and product-based permissions, preventing information leakage and extending governance across all Workato products.
Beyond user access, builders can also define how genies interact with one another. This means granting fine-grained control over which agents can call, observe, or delegate to others.
Genies are adaptable to chat UIs that users already likely interact with, such as Slack and Microsoft Teams.
I helped set guidelines for the chat experience, shaping prompts, messages, and copy to ensure minimal room for misinterpretation and errors.
How did I improve user experience?
🔒
Workato Agentic is a newly public feature. Current metrics are based on beta and internal testing only while we work on testing in exclusive edition. Stay tuned!
What did I learn?
AI design flips traditional design practices
Balancing automation and trust
Users need to feel confident in what the AI is doing, when it’s taking action, and when it’s asking for input. I learned how to carefully design affordances that balance automation with human control, ensuring transparency while minimizing unnecessary friction.
Scaling design beyond a single product
I designed features that are not just for Agentic but instead need to become scalable across Workato’s entire platform in an effort to revamp the holistic user experience. I learned how to build for long-term adoption, ensuring that foundational design decisions today can support multiple products and evolving enterprise needs in the future.