G2

Pramod S.

Workato Solution Consultant

Information Technology and Services

Small-Business (50 or fewer emp.)

9/11/2026

"Replaced Months of Custom Integration Code with AI-Powered Workflows in Days"

5/5

What do you like best about Workato?

What I like best about Workato is that it combines integrations, automation, APIs, and AI agents on a single platform. I regularly use the Recipe Builder, Agent Studio, skills, knowledge bases, APIs, and pre-built connectors to build business workflows and AI-powered solutions.

The feature that has had the biggest impact on my workflow is the visual recipe builder. The drag-and-drop interface allows me to build, test, and deploy integrations much faster than traditional development approaches. Instead of spending days writing integration code, handling authentication, and managing API communication, I can focus on workflow design and business logic. This saves me several hours every week and helps accelerate project delivery.

I also use Agent Studio extensively for AI-focused use cases. In projects such as fraud investigation and intelligent case analysis, I've built AI agents that leverage skills, knowledge bases, and connected applications to retrieve information, analyze context, and perform actions across systems. Rather than building separate AI infrastructure, I can integrate AI capabilities directly into business workflows. Genies can use skills to interact with applications and knowledge bases to access business-specific information, which makes it easier to deliver practical AI solutions.

Another feature I use frequently is the connector ecosystem. Most of the enterprise applications I work with are already supported through pre-built connectors, and when a connector isn't available, I can use APIs or custom connectors. This flexibility means I'm rarely blocked when integrating new systems.

One unexpected benefit has been reusability. Skills, recipes, connector patterns, and agent designs can often be reused across multiple projects. As I've built more AI and automation solutions, implementation has become progressively faster because many of the components can be adapted rather than recreated from scratch. Review collected by and hosted on G2.com.

What do you dislike about Workato?

As my Workato implementations have grown to include integrations, APIs, recipes, and AI agents, I've found that troubleshooting across multiple assets can be time-consuming. While job logs and monitoring tools provide good visibility into individual workflows, I'd like to see stronger end-to-end tracing and dependency impact analysis to make it easier to understand how changes affect related recipes, skills, and integrations.

For AI use cases, Agent Studio has been valuable for building intelligent workflows, but additional capabilities around AI observability, response evaluation, and governance would help organizations monitor and scale AI agents more confidently.

I would also welcome improved asset discovery and visualization for large environments containing hundreds of recipes, APIs, skills, and connections.

These are enhancement opportunities rather than major drawbacks, but they would significantly improve the experience of managing enterprise-scale automation and AI solutions. Review collected by and hosted on G2.com.

What problems is Workato solving and how is that benefiting you?

Before using Workato, I spent a significant amount of time building custom integrations, maintaining API code, and manually coordinating data across multiple systems. As automation requirements grew, it became difficult to scale these solutions while maintaining consistency and governance.

Workato solved this by providing a single platform for integrations, automation, APIs, and AI agents. I use the Recipe Builder, pre-built connectors, APIs, Agent Studio, skills, and knowledge bases to build end-to-end business solutions. Instead of writing and maintaining large amounts of integration code, I can focus on designing business workflows and delivering outcomes faster. Agent Studio enables AI agents to use skills, knowledge bases, and connected applications to perform actions and support business processes.

One example is my work on AI-powered investigation and decision-support use cases. Previously, gathering information from multiple systems, reviewing data, and deciding next actions required significant manual effort. With Workato, I can orchestrate workflows that collect information, apply business logic, leverage AI capabilities, and automate downstream actions, reducing manual effort and improving consistency.

The biggest benefit has been speed and productivity. Tasks that previously required days of integration development can often be completed in hours using the visual recipe builder and connector ecosystem. The drag-and-drop interface, reusable recipes, and pre-built connectors save me time on every project and allow me to deliver solutions faster.

Another key benefit is reusability. Once I build a recipe, skill, integration pattern, or AI workflow, I can often reuse it across multiple projects. This reduces implementation effort, improves standardization, and accelerates future development.

In short, I struggled with disconnected systems, manual processes, and lengthy integration development cycles. With Workato, I can build integrations, automate workflows, and deploy AI-powered solutions much faster, resulting in reduced manual effort, improved productivity, and quicker delivery of business solutions. Review collected by and hosted on G2.com.