Gemini Enterprise Agent Platform vs Kore.ai comparison

Google and Kore.ai are both solutions in the AI Agent Builders category. Google is ranked #5 with an average rating of 8.1, while Kore.ai is ranked #7 with an average rating of 7.9. Additionally, 100% of Google users are willing to recommend the solution, compared to 93% of Kore.ai users who would recommend it.

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Executive SummaryUpdated on Apr 23, 2026

Kore.ai and Gemini Enterprise Agent Platform are prominent competitors in the AI-powered chatbot and virtual assistant space. Gemini Enterprise Agent Platform appears to have the edge due to its advanced capabilities, despite Kore.ai's more appealing pricing and customer support options.

Features: Kore.ai offers strong natural language processing, intuitive design tools, and easy bot customization. Gemini Enterprise Agent Platform provides advanced analytics, extensive integration options, and robust enterprise-level deployment features, making it a superior choice for businesses with complex needs.

Room for Improvement: Kore.ai could benefit from expanding its integration capabilities and enhancing its analytics features. Additionally, improvements in scalability and language support would be advantageous. Gemini Enterprise Agent Platform could simplify its user interface and reduce the technical expertise needed for deployment. Enhancing its initial setup efficiency and providing more flexible pricing options would also be beneficial.

Ease of Deployment and Customer Service: Kore.ai offers a simple deployment process with excellent customer service, ensuring quick and smooth implementation. Meanwhile, Gemini Enterprise Agent Platform requires more technical know-how during deployment, but it stands out with its personalized customer service, which can be beneficial for solutions tailored to specific needs.

Pricing and ROI: Kore.ai presents competitive pricing with a favorable initial setup cost, enabling quicker ROI due to efficient deployment and support. Despite Gemini Enterprise Agent Platform's higher setup costs, its comprehensive capabilities offer a long-term value proposition that justifies the investment for companies looking for an all-encompassing solution.

To learn more, read our detailed Gemini Enterprise Agent Platform vs. Kore.ai Report (Updated: June 2026).

Buyer's Guide

Gemini Enterprise Agent Platform vs. Kore.ai

June 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Automation Anywhere

Featured Reviews

Venkat Sivaprakash

Management Consultant at Accenture

Has significantly improved document-driven workflows and reduced processing time across finance and HR functions

Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.

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Pethuru Chelliah

Chief Architect at a energy/utilities company with 10,001+ employees

Developed and deployed AI agents through a unified platform that supports integration with enterprise systems

We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models. We have to do some fine-tuning, hyperparameter optimization, and other optimizations to enhance the performance of the AI models. We are not fully leveraging the automation being provided by Google Vertex AI for building AI models. Google Vertex AI has to be enhanced to support agentic AI system development. AI agents have to be developed through Google Vertex AI. Additionally, RAG support, vector database support, knowledge graph support, integration with enterprise systems such as ERP, CRM, PLM, MES, and other enterprise systems need improvement. Automated workflow generation and automation could also be enhanced. At this point, we are completely satisfied with the features and functionalities of Google Vertex AI platform, but as we move towards autonomous systems through agentic AI paradigm, Google Vertex AI platform needs to be improved to facilitate agentic AI system design, development, deployment, monitoring, observability, governance, and security.

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Judin Augustin

Associate Data Scientist at Guide House

Automation has reduced large call centers and provides real-time outbound support for patients

Kore.ai is a low-code platform, and you do not necessarily have to be an expert in artificial intelligence or generative AI to use this platform. However, if you have that experience, it will be a valuable add-on. The main advantage is that it has almost every kind of plugin available to use, whether for live agents or if you want to use it as a call center. You have real-time capabilities and the most useful plugins available, with almost every kind of model available with configurations. We can configure the ML models and train them. The platform is very user-friendly with explanatory features and a great UI. One significant feature is the live testing platform with Kore.ai. When you are creating a workflow, you have an interactive, real-time testing platform that reflects every change you make. This makes it easy to debug errors or add new features. Additionally, Kore.ai has many different tools and platforms that cater to different needs, whether for a call center, normal workflow, or machine learning workflow, which is really useful. Because of Kore.ai, it was much easier than creating something manually. A low-code platform always helps, and when that platform has this much capability, it provides far more value than manual development. It was particularly helpful for our team that we could create a POC and get that project into production. Kore.ai helped our team build a generative AI outbound calling chatbot, and it truly helped our customers. If you have a hospital with a thousand employees in a call center, you might consider outsourcing. However, with Kore.ai's outbound calling capabilities, you can eliminate the outsourcing part. You do not need a thousand call center employees. You can accomplish this through automation with just one or two employees if people need to switch to agents. This represented a significant cost reduction.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The main thing is the simple UI, easy to use commands, and it's very easy to learn compared to other tools in the market."

"It is easy to use. It helps to reduce your man-hours and manual effort."

"Our return on investment is high."

"The initial setup was straightforward. It is a very guided experience: out-of-the-box with Automation Anywhere University training."

"It's very easy to use and all of the employees can easily get involved in the process, whether they are a developer, support, or have an HR background."

"Our clients are always happy with the product and its performance."

"Using automation, these processes are completed in between one and two hours, using one robot, and with these savings in time, the staff can do more in other areas, improving productivity and creativity while reducing the need for overtime and positively impacting the company overall."

"Anywhere contributed to increased efficiency, reduced manual efforts, and notable time savings across various processes."

More Automation Anywhere pros

"The most valuable features of the solution are that it is quite flexible, and some of the services are almost low-code, with no-code services, so it gives agents flexibility to build the use cases according to the operational needs."

"With just one single platform, Google Vertex AI platform, we can achieve everything; we need not switch over to multiple tools, multiple platforms, as everything can be accomplished through this one single platform for integration with existing workflows, systems, tools, and databases."

"Google Vertex AI is better for deployment, configuration, delivery, licensing, and integration compared to other AI platforms."

"The integration of AutoML features streamlines our machine-learning workflows."

"The monitoring feature is a true life-saver for data scientists. I give it a ten out of ten."

"The most useful function of Google Vertex AI for me is the ease of integration, as we can easily create a prompt and integrate it into our current system."

"The support is perfect and fantastic."

"We extensively utilize Google Cloud's Vertex AI platform for our machine learning workflows. Specifically, we leverage the IO branch for EDA data in Suresh Live Virtual, employing Forte IT for training machine learning models. The AI model registry in Vertex AI is crucial for cataloging and managing various versions of the models we develop. When it comes to deploying models, we rely on Google Cloud's AI Prediction service, seamlessly integrating it into our workflow for real-time predictions or streaming. For monitoring and tracking the outcomes of model development, we employ Vertex AI Monitoring, ensuring a comprehensive understanding of the model's performance and results. This integrated approach within Vertex AI provides a unified platform for managing, deploying, and monitoring machine learning models efficiently."

More Gemini Enterprise Agent Platform pros

"Kore.ai has positively impacted my organization by helping us build intelligent chatbots and incorporating voice agents, enabling various clients to adopt these solutions, which have been revolutionary for their businesses."

"It impacted my organization by helping us move into being AI-native, and it helped a lot to show other clients that we have worked in AI."

"Kore.ai has positively impacted my organization by being a big money saver because before having our chatbot, the use case was that every time some of our customers needed help, they used to call a number."

"Kore.ai offers many valuable features, particularly its extensive array of connectors, allowing easy integration with various ERP systems and the straightforward implementation of webhooks and APIs."

"Kore.ai has positively impacted my organization, as it saved a lot of time in implementation and the proof of concept was very fast to implement and easy to develop."

"Compared to other tools, Kore.ai provides a well-organized chatbot experience that others do not offer."

"The best feature of Kore.ai is that it is a cost-saving tool because when we use IVR, we have to assign agents at the backend, but using Kore.ai, we can automate all of those functions."

"Kore.ai helps in operational efficiency and faster time-to-market, which is development velocity."

More Kore.ai pros

Cons

"Excel, Outlook, and Word automation are very difficult with V11."

"They often provide good solutions, but sometimes they are unable to resolve issues, requiring users to find solutions independently, which can be time-consuming."

"If it had the ability to make decisions in complex situations, the bot would perform more smoothly. More advanced decision-making skills are needed for improvement."

"When they develop the product, they don't always provide all the necessary details that a customer needs to implement the product."

"Automation Anywhere could use to be more stabilized."

"Regarding the UI, once you're on some of the screens there are fixed dialogues, they are a set size, so there's a lot of horizontal scrolls and vertical scrolls. If I want to do something that is purely business-related and is somewhat complex to write or is nuanced, I sometimes have trouble implementing that inside of the Automation Anywhere script."

"I would like to see improvement in its scalability."

"The Web Recorder should also include a feature where the user can select what browser you want it to run since it is currently using the Internet Explorer browser as default. Some of our web-based systems are currently not compatible with Internet Explorer and can only run using Firefox or Google Chrome."

More Automation Anywhere cons

"We used AutoML feature for developing AI models automatically, but we are not comfortable with the performance of those models."

"Google can improve Google Vertex AI in terms of analysis and accuracy. When passing a very large context, instead of receiving vague responses, it would be better if the system could prompt users not to pass overly large prompts and provide clearer guidance on how to fine-tune Gemini for specific use cases."

"Both major systems, Azure and Google, are not yet stabilized, especially their customer support."

"It is not completely mature and needs some features and functions. The interface needs to be more user-friendly."

"It takes a considerable amount of time to process, and I understand the technology behind why it takes this long, but this is something that could be reduced."

"I think the technical documentation is not readily available in the tool."

"I believe that Vertex AI is a robust platform, but its effectiveness depends significantly on the domain knowledge of the developer using it. While Vertex AI does offer support through the console UI in the Google Cloud environment, it is better suited for technical members who have a deeper understanding of machine learning concepts. The platform may be challenging for business process developers (BPDUs) who lack extensive technical knowledge, as it involves intricate customization and handling numerous parameters. Effectively utilizing Vertex AI requires not only familiarity with machine learning frameworks like TensorFlow or PyTorch but also a proficiency in Python programming. The complexity of these requirements might pose challenges for less technically oriented users, making it crucial to have a solid foundation in both machine learning principles and Python coding to extract the full value from Vertex AI. It would be beneficial to have a streamlined process where we can leverage the capabilities of Vertex AI directly through the BigQuery UI. This could involve functionalities such as creating machine learning models within the BigQuery UI, providing a more user-friendly and integrated experience. This would allow users to access and analyze data from BigQuery while simultaneously utilizing Vertex AI to build machine learning models, fostering a more cohesive and efficient workflow."

"The solution is stable, but it is quite slow. Maybe my data is too large, but I think that Google could improve Vertex AI's training time."

More Gemini Enterprise Agent Platform cons

"The two points I deduct relate to the integrations, which were not as extensive as I initially expected."

"I rated Kore.ai eight out of ten because of the potential for these additional improvements."

"To improve Kore.ai, I suggest focusing on more agentic automation, such as offering MCP kind of features with an orchestration layer for use cases."

"In my experience, Kore.ai is not stable."

"I would suggest incorporating pre-recorded videos in the tutorials and enhancing the documentation area to make it more user-friendly."

"In support, the team is not the greatest, but it works."

"I rated Kore.ai an 8 out of 10 because additional features could be added to it."

"Customer support is okay, I guess. We get what we want from them whenever there is an issue or something, but sometimes when we had issues, it was delayed a lot."

More Kore.ai cons

Pricing and Cost Advice

"The major reason that we selected Automation Anywhere was the licensing model."

"The control room access gives the ability to create different roles, which helps when purchasing additional licensing."

"Automation Anywhere is expensive."

"The certifications are free of cost."

"Licensing for Automation Anywhere (AA) is paid on a yearly basis. Out of all the RPA tools, it has the most value for money, e.g. what you pay is what you get."

"It's very good in terms of cost and pricing."

"One of the things that will be good for the community will be to get the free version to download, which came out just a month ago called Community Edition. So, you can actually download it and try it for yourself."

"Annual licensing costs would be about $100,000."

More Automation Anywhere pricing and cost advice

"The Versa AI offers attractive pricing. With this pricing structure, I can leverage various opportunities to bring value to my business. It's a positive aspect worth considering."

"The solution's pricing is moderate."

"I think almost every tool offers a decent discount. In terms of credits or other stuff, every cloud provider provides a good number of incentives to onboard new clients."

"The price structure is very clear"

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

11%

Construction Company

11%

Outsourcing Company

10%

Financial Services Firm

Outsourcing Company

Manufacturing Company

Computer Software Company

Manufacturing Company

12%

Construction Company

12%

Outsourcing Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	157
Midsize Enterprise	82
Large Enterprise	558

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	3
Large Enterprise	14

Questions from the Community

How good is Automation Anywhere for RPA processes?

It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is ver...

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How good is Automation Anywhere for RPA processes?

From my experience using AA tool, it depends on the applications that you want to automate, because there some applic...

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How good is Automation Anywhere for RPA processes?

It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.

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What is your experience regarding pricing and costs for Google Vertex AI?

I purchased Google Vertex AI directly from Google, as we are a partner of Google. I would rate the pricing for Google...

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What needs improvement with Google Vertex AI?

Google Vertex AI is quite complex to navigate and to start services with, as I need to do a lot of iterations to fina...

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What is your primary use case for Google Vertex AI?

Google Vertex AI has been utilized for Vertex Pipelines. I have not utilized the pre-trained APIs in Google Vertex AI...

See all answers

What is your experience regarding pricing and costs for Kore.ai?

The experience with pricing, setup cost, and licensing of Kore.ai is that the price is low, and the licensing is also...

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What needs improvement with Kore.ai?

I do not have much to add regarding how Kore.ai can be improved since it has been a long time since we last used it. ...

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What is your primary use case for Kore.ai?

In my past organization, I used Kore.ai for one of the projects over a period of approximately six to eight months. O...

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Comparisons

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Compared 12% of the time

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Compared 3% of the time

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Compared 2% of the time

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Compared 28% of the time

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Compared 7% of the time

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Compared 4% of the time

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Compared 9% of the time

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Compared 8% of the time

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Product Reports

Buyer's Guide

Automation Anywhere

August 2026

Download Automation Anywhere product report

Buyer's Guide

Gemini Enterprise Agent Platform

August 2026

Download Gemini Enterprise Agent Platform product report

Buyer's Guide

Kore.ai

August 2026

Download Kore.ai product report

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)

Vertex, Google Vertex AI

No data available

Interactive Demo

Automation Anywhere

Demo not available

Google

Demo not available

Kore.ai

Overview

Automation Anywhere offers ease of use, robust system connectivity, and GenAI-driven document automation through a cloud-native platform, significantly enhancing productivity across multiple industries with advanced AI features.

Delivering a comprehensive suite of tools designed for easy integration and rapid deployment, Automation Anywhere drives efficiency by reducing costs and automating repetitive tasks. Its cloud-native platform supports broad industry adoption, including advanced AI features like process automation and Co-Pilot, streamlining complex workflows with minimal technical skills required. Users benefit from robust integration capabilities, which facilitate seamless interaction with multiple systems. However, there is room for improvement in areas such as user-friendliness for beginners, stability, flexible licensing, and enhanced OCR functionality. Organizations in sectors such as banking, finance, manufacturing, and healthcare gain from the improved operational efficiency and ROI Automation Anywhere offers.

What are the important features of Automation Anywhere?

Ease of Use: Simplifies automation tasks with a user-centric interface.
Robust Connectivity: Provides seamless integration with multiple systems.
GenAI-Driven Document Automation: Leverages AI to automate document management.
Process Automation & Co-Pilot: Enhances workflow automation with advanced AI.
Cloud-Native Platform: Enables rapid deployment and integration.

What benefits should be evaluated in reviews?

Time Savings: Automation drastically reduces manual processing time.
Cost Efficiency: Decreases overall operational costs by automating tasks.
Productivity Enhancement: Streamlines workflows with AI-driven tools.
Improved Integration: Enhances ability to work with multiple systems.
Scalability: Supports growth with a flexible cloud-native architecture.

In the insurance industry, Automation Anywhere is utilized for automating processes such as enrollment management and compliance checks. Its applications extend to supply chain management, financial transactions, and business performance monitoring across sectors like banking, finance, manufacturing, and healthcare, helping organizations to automate routine tasks, improve efficiency, and reduce costs.

Automation Anywhere

Gemini Enterprise Agent Platform offers advanced AI capabilities with large language and vision models, a seamless Google ecosystem integration, and low-code/no-code options, enhancing AI agent development, deployment, and monitoring.

Gemini Enterprise Agent Platform empowers businesses with its comprehensive AI development environment, focusing on generative and agentic AI applications. It streamlines tasks like chatbots, document summarization, and data workflows integration. Despite its complexity and high cost, it offers advantages in feature centralization, end-to-end integration, external analytics, and multi-model capabilities. Challenges include navigation issues, setup complexity, and documentation accessibility. Users wish for improved model efficiency, system integration, customer support, and a more user-friendly experience for non-technical users. The platform's potential in optimizing machine learning modules and managing fintech tasks makes it valuable for organizations seeking robust AI model management.

What are Gemini Enterprise Agent Platform's Key Features?

Large Language and Vision Models: Enhance AI capabilities across diverse applications.
Google Ecosystem Integration: Seamlessly integrates within Google's platforms.
Feature Store: Centralizes features for better team communication and model management.
Low-Code/No-Code Options: Facilitates AI development with minimal coding.
End-to-End Integration: Offers comprehensive tools for agent deployment and monitoring.

What Benefits and ROI Should Users Look For?

Feature Centralization: Streamlines communication and coordination across teams.
Integration Ease: Simple integration with existing systems enhances operational efficiency.
AI Optimization: Improves machine learning modules, reducing costs and boosting efficiency.
Advanced Language Analytics: Enables better data insights via keyword detection and document processing.

Gemini Enterprise Agent Platform finds application in industries focusing on generative AI and agentic tasks. Businesses use it for chatbots, document summarization, and fintech-related tasks, benefiting from its capabilities in handling large documents, keyword detection, and language analytics. Its ease of integration with current systems is a significant advantage for many organizations.

Google

Kore.ai provides advanced tools like Agent Desktop and Agent Co-pilot, designed to handle vast data volumes and improve efficiency. The platform integrates seamlessly with APIs and channels, supports multi-language capabilities, and offers real-time testing.

Kore.ai offers robust solutions for sectors like healthcare and aviation, enabling efficient ML model configuration and generative AI chatbot development. While there's room for improvement in language detection and scalability, particularly with Azure, Kore.ai excels in integrating with Microsoft ASR, TTS, Cloud Anthropic, and OpenAI, enhancing performance in industries such as insurance and healthcare. Users see potential in extending capabilities with advanced models like Claude or Anthropic. The post-implementation support could improve to match competitor offerings, and more comprehensive documentation is needed.

What are the key features of Kore.ai?

Agent Desktop: Streamlines customer interactions and reduces handle time
Agent Co-pilot: Assists agents with data handling and task efficiency
Advanced API Integration: Ensures seamless connectivity across platforms
Real-time Interactive Testing: Facilitates immediate testing and feedback
Low-code Configurator: Simplifies chatbot development and ML configuration

What benefits should users look for?

Operational Efficiency: Improved task handling and reduced costs
Scalability: Well-suited for diverse applications, though needs enhancement on Azure
Language Support: Global reach with multilingual features
Improved Customer Satisfaction: Enhanced interaction quality and faster resolutions

Kore.ai finds applications in banking, aviation, and automotive, facilitating real-time transactions, ticket booking, and customer feedback measurement. It is instrumental in creating AI chatbots for HR and customer services. Industries such as insurance and healthcare benefit from its capabilities in policy tracking and implementation, leveraging integrations with Microsoft ASR, TTS services, and OpenAI for superior chatbot functionality.

Kore.ai

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics

Information Not Available

Leading banks & Enterprise Companies

Buyer's Guide

Gemini Enterprise Agent Platform vs. Kore.ai

June 2026

Free Report: Gemini Enterprise Agent Platform vs. Kore.ai

Find out what your peers are saying about Gemini Enterprise Agent Platform vs. Kore.ai and other solutions. Updated: June 2026.

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