G2

Shiv K.

Maintenance Engineer

Manufacturing

Mid-Market (51-1000 emp.)

9/3/2026

"Helps reduce manual work in daily operations"

4.5/5

Describe the project or task Google Cloud Dialogflow helped with:

Dialogflow is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into mobile apps, web applications, devices, and bots. It provides users with new ways to interact with their products by building engaging voice and text-based conversational interfaces powered by AI. Dialogflow can be used to build chatbots, voice assistants, and other conversational agents that can understand and respond to user inputs in a natural way. Review collected by and hosted on G2.com.

What do you like best about Google Cloud Dialogflow?

What I like most about Google Cloud Dialogflow is how it simplifies building and managing chatbots for everyday support. The UI is fairly straightforward, and its integration with other Google Cloud services makes it easier to connect with existing systems without a lot of extra work. Response performance is solid for handling routine queries, and the AI interprets different user inputs better than basic rule-based chatbots. It also cuts down on manual effort for repetitive support tasks, which can lead to a good ROI over time. The onboarding materials and documentation are helpful when you’re getting started, although some of the more advanced features still take time to fully understand. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud Dialogflow?

The main thing I dislike about Dialogflow is that the UI can feel confusing, especially when I’m setting up more advanced intents and conversation flows. Integrations with existing maintenance or internal systems can also require extra configuration and a fair amount of technical knowledge. Performance is generally good, but optimizing more complex conversations can take additional effort. Pricing can also be hard to estimate as usage grows, particularly for larger deployments. The documentation is helpful overall, but getting up to speed on some of the more advanced features takes time. I also find that the AI can sometimes misunderstand short or highly technical queries, so stronger handling of industry-specific terms would be helpful. Review collected by and hosted on G2.com.

Recommendations to others considering Google Cloud Dialogflow:

To improve Dialogflow, I would suggest enhancing the UI to make it more intuitive, especially for setting up advanced intents and conversation flows. Providing more detailed examples and tutorials for complex integrations could also be beneficial. Additionally, offering clearer pricing models and better support for industry-specific terminology would enhance user experience. Improving the AI's ability to handle short or technical queries would also be advantageous. Review collected by and hosted on G2.com.

What problems is Google Cloud Dialogflow solving and how is that benefiting you?

Before using Dialogflow, our team had to handle a lot of repetitive support questions manually, which took time away from other work. With Dialogflow, we’re able to automate common queries and connect them to our existing systems through integrations. The AI handles typical user questions well, and the response performance is solid for routine support. As a result, we’ve reduced manual effort and can respond faster, especially when it comes to repeated maintenance-related requests.

The initial setup and onboarding come with a learning curve, but the documentation is helpful and makes it easier to get up to speed. Overall, Dialogflow can deliver good ROI by cutting down on repetitive support work, although the cost is something we need to keep an eye on as usage increases. Review collected by and hosted on G2.com.