Overview
AI for Work is an enterprise-ready AI solution designed to help employees work smarter and faster. Whether managing requests, approvals, or retrieving knowledge, it enables intelligent automation, freeing employees to focus on high-value tasks.
Enhance information discovery with enterprise-grade RAG search, delivering accurate results through customizable AI models, tailored chunking strategies, and built-in guardrails. Streamline employee engagement and lifecycle management by publishing pre-built AI agents for HR, recruitment, and IT while maintaining control over security and access. Integrated analytics give managers real-time insights into AI adoption, performance, and cost optimization, driving smarter decisions across the organization. If you want to see a demo, click here to talk with AI experts.
With intelligent automation, robust security, and governance, AI for Work boosts productivity, streamlines operations, and fosters innovation. Seamless integrations and flexible deployment options enable businesses to scale AI adoption while ensuring compliance and control confidently
Highlights
- Enterprise Search: Enhance knowledge retrieval with enterprise-grade RAG search, featuring customizable LLM selection, tailored chunking, and response validation
- Automate: Customize or configure AI Agents through a no-code interface, turning intent into actions for seamless and efficient automation
- Orchestrate: Trigger the right AI Agent based on user queries to automate workflows, integrating multiple platforms for efficient execution. Govern: Maintain control over user management, usage monitoring, security settings, and analytics, ensuring secure, compliant, and data-driven AI operations
Details
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Features and programs
Buyer guide

Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/12 months |
|---|---|
AI for Work Enterprise Support | $40,000.00 |
AI for Work Non Production Cloud Environment | $40,000.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Description | Cost/unit |
|---|---|---|
AI for Work | AI for Work Per User per Month | $40.00 |
AI for Work ITAssist | AI for Work ITAssist per User per Month | $10.00 |
AI for Work HRAssist | AI for Work HRAssist per User per Month | $10.00 |
AI for Work RecruitAssist | AI for Work RecruitAssist per User per Month | $10.00 |
AI For Work - AI for Process Add-On | AI for Process within AI for Work per User per Month | $10.00 |
Vendor refund policy
No Refunds
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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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
AWS infrastructure support
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
Automation has simplified handling incoming emails and is saving significant time daily
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?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Intelligent bots have automated patient onboarding and appointment booking for continuous support
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?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Powerful, Highly Customizable Bots
Powerful No-Code Conversational AI for Scalable Enterprise Virtual Assistants
Dashboards have transformed policy audit visibility but voice chat capabilities still need exploration
What is our primary use case?
I used Kore.ai to make dashboards, widget creation, and I tagged some columns. I wanted to create dashboards to get all the details for policy, specifically to understand who are the legacy policy users and who are the Guidewire policy users.
The widget in our system was for the policy product. In that product, users were not able to see on a page how many users logged in today, whether a legacy person or Guidewire user logged in, or what changes or modifications they made. I created dashboard widgets so that legacy users and Guidewire users could track the changes they made in their policies.
I used Kore.ai for this purpose. Before that, I migrated from Kore.ai 10 to 11. I trained the model by adding utterances as training data and achieved almost 97% accuracy. After that, I started working on widget creation.
What is most valuable?
The best feature I have worked on is widget creation. I went through the entire chatbot workflow to create it, so I have a good understanding of that part. I appreciate the process of adding tags and fetching data by creating a dashboard.
For the admin side, they will get an audit that shows who logged in—legacy or Guidewire users—and what modifications they made. This helps them by seeing that dashboard rather than viewing each policy individually.
It impacted my organization by helping us move into being AI-native. Our organization is proving themselves that they are AI-native, and it helped a lot to show other clients that we have worked in AI.
What needs improvement?
I have worked only for six months on Kore.ai. While working on it, I haven't seen any area that needs improvement because I need to explore more in voice chat. I don't think there may be any improvement needed for that part as of my knowledge.
I want to work on voice AI chat, but I have not yet been involved in that. For that project, I was working on widget creation, training the model, and migrating from Kore.ai 10 to 11. Then I moved to a different project, so I couldn't explore that. This is a regret for me. In the future, if I get an opportunity with Kore.ai, I will definitely work on voice AI chat.
For how long have I used the solution?
I have used Kore.ai for six months.
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 is a scalable product. I think they can add more features, but right now I'm unable to recall something specific for improvement. Definitely, it's a scalable product.
How are customer service and support?
The customer support was good. We connected two or three times and received full support from the customer support team.
Which solution did I use previously and why did I switch?
I haven't switched to any other solution. I got Kore.ai first and worked on that only. It is a good product.
What was our ROI?
It is definitely a money saver and time saver.
Which other solutions did I evaluate?
I haven't evaluated other tools. Kore.ai was the first one, so our organization went with it.
What other advice do I have?
For the process of adding tags and fetching data for dashboards on the admin side, admins will get an audit that shows who logged in—legacy or Guidewire users—and what modifications they made. This will help them by seeing that dashboard rather than viewing each policy individually.
I give a nine for the customer support. I will recommend Kore.ai to others. If anyone is looking for tools similar to Kore.ai, I will definitely recommend it. I will recommend it to someone if they are having issues or problems with other tools. I definitely want to explore more of this product. I gave this review a rating of seven.