Sold by: Kore.ai
Deployed on AWS
AI For Recruit is a Gen-AI powered solution that solves hiring challenges and enhances recruitment efficiency and effectiveness
3.9
Overview
AI For Recruit is a cutting-edge, AI-powered conversational web application specifically designed to transform and enhance the hiring process for all stakeholders involved in recruitment. Leveraging advanced generative AI (Gen-AI) technologies, RecruitAssist addresses common recruitment challenges and streamlines the hiring process, making it more efficient and effective.
Highlights
- 1. Smart Screening & Matchmaking: Leverage AI to analyze resumes and match candidates to job descriptions, quickly identifying top talent that fits both the role and your company culture. 2. Bias-Free Hiring: Help ensure fairness with blind screening and objective scoring, while tracking diversity metrics to build a more inclusive workforce.
- Transform the Candidate Journey: Enhance engagement with real-time updates, AI-driven FAQs, intuitive job search, one-click apply, and automated interview scheduling for a seamless experience.
- Automated Outreach: Save time with automated yet personalized communication, managing interview scheduling and follow-ups effortlessly. Data-Driven Insights: Make informed decisions with comprehensive analytics, tracking key metrics like time-to-hire and diversity statistics.
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/month |
|---|---|---|
Digital 1k emp | RecruitAssist(Digital) - 1,000 Employees + Standard Support | $7,000.00 |
Digital 2.5k emp | RecruitAssist(Digital) - 2,500 Employees + Standard Support | $17,500.00 |
Digital 5k emp | RecruitAssist(Digital) - 5,000 Employees + Standard Support | $35,000.00 |
Digital 10k emp | RecruitAssist(Digital) - 10,000 Employees + Standard Support | $70,000.00 |
Digital 25k emp | RecruitAssist(Digital) - 25,000 Employees + Standard Support | $175,000.00 |
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Software as a Service (SaaS)
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Vendor support
As part of our support services, we resolve customer queries quickly, efficiently and cost effectively using our highly skilled support team. Our support team will identify your problem and come up with a solution promptly. We provide 24/7 support as per agreed SLAs with the client
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Shubham Das
Chatbots have automated travel support and now save time and costs across customer journeys
Reviewed on May 04, 2026
Review from a verified AWS customer
What is our primary use case?
I develop chatbots using Kore.ai .
I developed a travel assistant using Kore.ai that books tickets, cancels tickets, or modifies journeys.
I also integrate API data in Kore.ai so that it can fetch data from the API and display it directly to users.
What is most valuable?
The best features Kore.ai offers in my experience are that the user interface is very easy to use, the performance is excellent, and everything runs very smoothly.
When I say the interface of Kore.ai is easy to use, I mean the tools and everything are very useful and intuitive. When I mention performance, I mean the platform does not lag at all, and its response time is also good.
Kore.ai has impacted my organization positively because most companies are switching their IVR systems to chatbot systems, making Kore.ai a truly good platform for chatbot development.
The best feature of Kore.ai is that it is a cost-saving tool. For example, when we use IVR, we have to assign agents at the backend, but using Kore.ai, we can automate all of those functions.
What needs improvement?
Kore.ai could be improved by adding more features, such as call flow automation in addition to chatbots, which would also be helpful.
I rated Kore.ai an 8 out of 10 because additional features could be added to it.
The platform is excellent, and if more features can be added in the future, it will be truly great.
For how long have I used the solution?
I have been using Kore.ai for one and a half years.
What do I think about the stability of the solution?
Kore.ai is stable.
What do I think about the scalability of the solution?
Kore.ai's scalability is good.
How are customer service and support?
Kore.ai's customer support is good.
I can rate the customer support of Kore.ai a 9 out of 10.
Which solution did I use previously and why did I switch?
Previously, most companies were using the IVR platform, but nowadays, they are switching to chatbot systems, which is why I switched.
Before choosing Kore.ai, I did not use any chatbot development system.
What was our ROI?
As of now, Kore.ai is working very well for the vendors and has also saved their time and money.
What's my experience with pricing, setup cost, and licensing?
The experience with pricing, setup cost, and licensing of Kore.ai is that the price is low, and the licensing is also not costly.
What other advice do I have?
I advise others to use Kore.ai because it is a beginner-friendly platform. I rated this product an 8 out of 10.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
reviewer2835378
Automated document checks have reduced verification errors and save our agents many work hours
Reviewed on May 03, 2026
Review provided by PeerSpot
What is our primary use case?
The main use case for Kore.ai was building a chatbot for one of our insurance clients who required a chatbot to allow agents to directly ask about documents uploaded for verification. The chatbot checks if documents exist at a particular link that contains the personal documents of clients and then sends the status back to users or agents. If the document is present, agents may request to read it and check if certain conditions are fulfilled in the document. This is essentially a document validation agent created using Kore.ai as the front end, coupled with Teams channels for the agents.
Kore.ai helped our team specifically in building the document validation chatbot by serving as the front end of the entire development. Using Kore.ai, we connected with the Teams channel and leveraged features such as API connections and API calls to easily retrieve the status of documents.
What is most valuable?
The best features Kore.ai offers include a very user-friendly interface, making it easy for agents who are not comfortable with technology to navigate it. This is the main aspect I would highlight.
The user interface of Kore.ai is so user-friendly because it is a no-code platform that provides drag-and-drop tools for building chatbots or agents without needing to write code. Kore.ai also offers excellent connectors with different services, and in our case, we built a microservice that was called directly from Kore.ai through API calls. Additionally, it offers popular application integrations such as SAP, ServiceNow , and Salesforce . These features have significantly improved the customer experience and made it scalable enough to manage millions of interactions, which suits large enterprises.
Kore.ai has positively impacted our organization by reducing error rates from around fifteen to twenty percent to just two to three percent after implementation. This significant reduction in errors means that fraud detection is not negatively impacted. It has also helped reduce the time agents spend on document validation, thereby increasing efficiency and accuracy. These are the main two metrics that have contributed to our success.
In terms of time saved, the accuracy has dramatically increased, with error rates decreasing from fifteen to twenty percent down to two to three percent. We have saved almost two hours of daily work per agent. With more than twenty agents working on this document validation task, we are saving a total of around forty hours per day.
What needs improvement?
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. This would allow us to implement business logic in the orchestration layer. With the ability to build our own MCP servers and plug-and-play with the MCP client, we could have more scalable options for deploying multiple agents on one platform, enabling them to work simultaneously across different use cases.
For how long have I used the solution?
I have been using Kore.ai for around eight or more months in my previous company, where I worked on a proof of concept for that particular engagement.
What do I think about the stability of the solution?
Kore.ai is stable.
What do I think about the scalability of the solution?
Kore.ai's scalability is good, and it is indeed scalable.
How are customer service and support?
The customer support for Kore.ai is really good.
Which solution did I use previously and why did I switch?
Before Kore.ai, we used InteliX, which was one of the vendor products we explored but switched to Kore.ai due to its superior connectors and more affordable licensing compared to InteliX. Additionally, the user experience in Kore.ai is much more user-friendly, unlike the complex user interface of InteliX.
How was the initial setup?
My experience with pricing, setup cost, and licensing has been good. Although I was not directly involved in the pricing discussions, the setup costs and licensing were straightforward, and we received excellent support from the Kore.ai product team. Their training sessions were effective, and we also achieved certifications through mini-projects alongside the training, making the transition and onboarding process quite smooth.
What was our ROI?
We have seen a return on investment, particularly in full-time equivalent count saved.
Which other solutions did I evaluate?
We did not evaluate any other options besides InteliX, but we also tried Copilot. Unfortunately, Copilot did not deliver good accuracy during the proof of concept, and its licensing costs were higher than those of Kore.ai, which is why we ultimately chose Kore.ai.
What other advice do I have?
Kore.ai has impressive features, such as effective connectors and a very good user interface. It is a no-code platform where drag-and-drop functionality is sufficient to build logic without needing to write code. It is easy to deploy agents and much more scalable than other tools I have explored so far.
My advice for others considering Kore.ai is that it is really easy to use for beginners. People will quickly learn how to use it and deploy their own use cases. Kore.ai is a good product, and I would rate it an eight out of ten.
reviewer2834352
Chatbot projects have saved implementation time but now need better stability and updated docs
Reviewed on Apr 29, 2026
Review provided by PeerSpot
What is our primary use case?
What is most valuable?
The best features Kore.ai offers are that everything is centralized in an online platform and it is easy to use to build a production-ready chatbot.
The platform is easy to use because everything is very direct for implementation and all is on one page, which means it does not require extensive technical knowledge.
Kore.ai has positively impacted my organization. Although we did not use it for many use cases, we used it for one use case where I noticed significant improvements. It saved a lot of time in implementation. The proof of concept was very fast to implement and easy to develop.
What needs improvement?
I do not see any need for improvement in Kore.ai, as I found no challenges or missing features.
However, there could be more documentation in the latest versioning of the platform. I found that the previous documentation was outdated.
For how long have I used the solution?
I have been working in my current field for four years.
What do I think about the stability of the solution?
In my experience, Kore.ai is not stable.
What do I think about the scalability of the solution?
I do not know about Kore.ai's scalability and whether it has met my needs as my project grows or changes.
How are customer service and support?
I did not communicate with Kore.ai customer support, so I have no experience to share.
Which solution did I use previously and why did I switch?
Before Kore.ai, I used Microsoft, and I did not switch to Kore.ai. However, we also tested Kore.ai because it offered many tools ready to test.
How was the initial setup?
I encountered some minor problems in the setup for the proof of concept, but nothing significant.
What about the implementation team?
My company does not have a business relationship with this vendor other than being a customer.
What was our ROI?
I have seen a return on investment from using Kore.ai, as it saved time for the implementation project.
What's my experience with pricing, setup cost, and licensing?
I did not get access to pricing, setup cost, and licensing information because my organization handled that for me in my previous work.
Which other solutions did I evaluate?
Before choosing Kore.ai, we also tested Amazon AWS , but it was not very effective.
What other advice do I have?
I do not want to add anything else about the features, including integrations or analytics, as there is nothing else that stands out.
My advice to others looking into using Kore.ai is that they can try it because it can be the solution. I would rate this product a 7 out of 10.
Vincent Miraflor
Automation has simplified handling incoming emails and is saving significant time daily
Reviewed on Apr 28, 2026
Review from a verified AWS customer
What is our primary use case?
I have been using Kore.ai for two years. My main use case for Kore.ai is to automate incoming emails.
What is most valuable?
The best features Kore.ai offers include an easy interface, which was facilitated by the effective training that I received. Kore.ai has positively impacted my organization by simplifying the process of responding to emails and streamlining the workflow, saving me considerable time.
What needs improvement?
Kore.ai works fine and does not need any improvement.
For how long have I used the solution?
I have been working in my current field for six years.
What do I think about the stability of the solution?
Kore.ai is stable.
What do I think about the scalability of the solution?
The scalability of Kore.ai is good.
How are customer service and support?
Customer support for Kore.ai is good.
Which solution did I use previously and why did I switch?
Before choosing Kore.ai, I evaluated other options.
What was our ROI?
I have definitely seen a return on investment because I saved time.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing was that everything was easy and straightforward.
What other advice do I have?
My advice to others looking into using Kore.ai is that it is a good system. I would rate this review 9 out of 10.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Anurodh Dharmawat
Intelligent bots have automated patient onboarding and appointment booking for continuous support
Reviewed on Apr 26, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Kore.ai is creating a robot which handles healthcare data, allowing new patients to register with a doctor or hospital and book appointments.
This bot helps patients by asking basic details such as name and illness, then accordingly queries them on when they want to book an appointment and confirms the booking if available. Additionally, I have worked on a banking use case where users can create various account types and retrieve account information.
In the healthcare bot, when a patient wants to book an appointment, they are first asked for their phone number. If the number exists in records, the details are fetched and displayed. The user then agrees to the information and is prompted with other questions regarding symptoms, duration of the issue, and appointment preferences. After providing this information, they can book the appointment and receive email confirmation. They also have the option to fetch or change appointment details afterward.
What is most valuable?
Kore.ai can be utilized in two ways: through natural language understanding or using DialogGPT.
The use of NLU is basic and does not involve LLM intelligence, while utilizing DialogGPT brings in the LLM intelligence, allowing for intent rephrasing such that when users ask questions, those are rephrased for better answers.
One of the best features Kore.ai offers is its well-conducted training program, which includes beginner and advanced sessions totaling around eight hours. After training, practical assignments based on session teachings are provided and must be completed for certification, which requires a thorough understanding of Kore.ai. I have earned both beginner and advanced certifications. Furthermore, I appreciate the DialogGPT feature, which maintains the context of user queries while providing rephrased answers, as well as features such as charts, graphs, and APIs that allow communication with external data sources, enhancing usability and ease of development compared to other tools I have used.
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.
What needs improvement?
I would suggest incorporating pre-recorded videos in the tutorials and enhancing the documentation area to make it more user-friendly.
I see room for enhancement mainly in improving existing features and increasing marketing efforts to highlight Kore.ai's capabilities, as well as suggesting additional use cases that can be beneficial for businesses.
The user experience has been excellent, with well-structured courses and supportive mentorship provided by Kore.ai, but I would like to see more pre-recorded sessions and increased certification opportunities in various areas.
For how long have I used the solution?
I have been using Kore.ai for the past one year.
What do I think about the stability of the solution?
I find Kore.ai to be quite stable, and while my organization evaluated other options, they ultimately found those tools less user-friendly compared to Kore.ai, which had easier functionality and training.
What do I think about the scalability of the solution?
Kore.ai's scalability is quite good, as it offers plugins and allows for additional features based on usage, leading to variable charges that align with needs.
How are customer service and support?
Customer support has been very responsive, providing assistance promptly during development and learning phases, making their help invaluable when challenges arise.
Which solution did I use previously and why did I switch?
My organization did not use any other solution before adopting Kore.ai, making it our first choice despite having options for other tools.
What was our ROI?
I have seen a positive return on investment in terms of time saved and fewer employees required, as the bots enable 24/7 support without continually having to deploy human agents.
We have experienced significant results such as saving time and money by reducing the number of necessary human agents, as the intelligent bots created with Kore.ai operate 24/7 and allow users to bypass the limits of human availability.
What other advice do I have?
I advise others to definitely give Kore.ai a chance, as it is user-friendly compared to other conversational AI tools that may appear complex and difficult to implement.
I think Kore.ai is a great tool with impressive learnings, especially in the agentic AI domain, and unlike traditional chatbots, it leverages intelligence to analyze questions and provide relevant answers, including integration capabilities with external tools while ensuring data security with features such as PII reduction. Users should definitely consider trying this product. I would rate this product an eight out of ten.
Which deployment model are you using for this solution?
Private Cloud