I have been using Glean Platform for one year now, and I primarily use it to ask questions about the documentation that we have uploaded on Glean Platform. I use it to create small projects.

One instance where Glean Platform was particularly helpful was when I needed to quickly create a presentation for a customer with very little time available. Glean Platform helped me create those presentations by going through my company's documents, configuration guides, screenshots that I uploaded via chat, and transcripts from previous calls with customers. With all this context and presentation templates, Glean Platform was able to provide me with text and a transcript of the content that I needed to present to the customer.

Glean Platform is something that we use to scan through documents and other apps. We do not use it to ask very specific mathematical questions, as we usually do that with Gemini. However, Glean Platform is very good with documentation and works well with agents. We have developed a couple of monitors in a Slack channel to create presentations in Slack once we provide the documents.

I use agents in two main ways. First, I use it as an agent that scans through the entire public Slack and provides answers based on the documentation that is available. The second agent that I frequently use is to create enablement documents and release notes. As a product manager, I need to create those documents, which are very time-consuming to create manually. I have created a Glean Platform agent that has the template we need to cater to, and I have configured it to ask all the right questions. For example, it asks about product area, Jira epics and stories, Confluence page links, onboarding documents, strategic themes, gaps and workarounds in the feature, or any other documentation links. The agent then gives you a release document and enablement deck which I can create in five to ten minutes and roll out.

Another important feature is the ability to collaborate and share agents. This way, the entire organization can increase its productivity. Sharing the agent makes it a duplicate of that agent, which is a good feature. I can ask my teammate if they have a better agent, and once they share it, I can make improvements and share it back so that together we can find an improved version and increase productivity. However, I would reiterate that the integration is what makes Glean Platform unique and useful, especially its integration with applications like Slack. No other agent or AI model offers that level of integration, and it is helpful when you have hundreds of customers and hundreds of customer-facing employees asking questions. You can also send out notifications to certain groups, which is a very important feature for any organization to boost its productivity. In the future, if such agents can be added to Teams, I believe it would be game-changing for the entire industry.

Glean Platform has increased productivity by at least one hundred hours per week for my organization. The reason is having an agent on top of it to cut down any and all support. In terms of metrics, we see a significant reduction in support queries, which directly relates to customer satisfaction with our customers. Our customer-facing team just needs to rely on Glean Platform, as it can accurately provide the answers.

Let me take a simple use case. If a customer has a question, the customer would ask the question through the customer-facing teams. These teams would have to ask that question in a Slack channel or reach out to someone. This communication takes time, and they were getting the answer in one day and probably the next day would talk to the customer and give them the answer. Now, with Glean Platform agent in a particular group, the customer-facing team can just post the question there. If the question can be answered by Glean Platform, in ninety to ninety-five percent of the cases, Glean Platform is able to answer it, and then they can take that answer and present it to the customers without waiting for one or two days. If the question is answered incorrectly or if Glean Platform is not able to answer it at all, then a product manager or a technical manager or the documentation team comes in and tries to answer that, and Glean Platform takes that input, tests it, and becomes better prepared for those questions next time. As we continue to use Glean Platform, the agent keeps learning. Therefore, the ninety to ninety-five percent will one day become ninety-nine or one hundred percent in the future, and Glean Platform can automatically provide answers to almost all questions.

The best feature that Glean Platform offers is definitely agents. It is very easy to create agents in Glean Platform, and I love that feature. Its Slack integration makes it much more useful than any other model that we have. Gemini and Claude hit their limitations when it comes to Slack, but Glean Platform takes it to another level. For example, we have a few channels in Slack. If somebody posts any question, Glean Platform first tries to answer with the previous documentation and previous chats related to that, and if it is not able to provide the answer, then it goes to the documentation team and effectively finds out if the question is being asked and if help is needed. Agents is the most beautiful and incredible feature that Glean Platform offers along with its seamless integration with Slack.

Glean Platform has increased productivity by at least one hundred hours per week for my organization. The reason is having an agent on top of it to cut down any and all support. In terms of metrics, we see a significant reduction in support queries, which directly relates to customer satisfaction with our customers. Our customer-facing team just needs to rely on Glean Platform, as it can accurately provide the answers.

There are multiple ways in which Glean Platform can be improved. Although it is a very good platform, I think the agent workflows can be more advanced. For example, if I can attach my Jira epics and then the data sources for the agents would make it even more beneficial.

In terms of user experience, a no-code agent builder would be amazing. If someone has no technical expertise, then a no-code agent builder would help them create really advanced agents. Glean Platform should also have a personalized experience on Glean Platform, as this is something that is missing as of now. The homepage can also be improved; right now, it shows suggested recent mentions and trending topics. More context can be given, for example, having ongoing Slack conversations highlighted would be useful if it can use its judgment.

Another thing that can improve is suggested chat prompts. Maybe Glean Platform can be integrated just like Gemini or Tactic to record meetings and go through transcripts more easily. This is the only missing feature. Additionally, the agents can be made more user-friendly.

I think adding the capability to join calls, go through transcripts and provide real-time question and answers just like Gemini would give an extra score, especially given the context that Glean Platform has from Slack and Confluence. Glean Platform is in a much better position than any other AI tool to provide those answers during calls. Transcript AI processing is one feature that I would like to have.

I have been using Glean Platform for one year now, and I mostly use it to ask questions on the documentation that we have uploaded on Glean Platform. I use it to create small projects.

Glean Platform is stable.

We have noticed that Glean Platform is scalable and can handle growth and increased workload.

My company is a partner of this vendor.

I would say our turnaround time for supporting our teams has been reduced by ninety to ninety-five percent. Additionally, the productivity of employees has increased by at least twenty percent by using Glean Platform. These are metrics which have been calculated and approximated to the nearest whole number. We have not been able to reduce the number of employees, but we have been able to ensure that they now spend time on things that are more important than just going through documents or answering questions.

Pricing, setup cost, and licensing for Glean Platform have been seamless; there are no hurdles here.

I use Glean Platform for creating agents for different kinds of use cases. I built out agents using actions and custom actions. Actions pertain to the ones that Glean Platform already exposes or has. Glean Platform usually has connectors pertaining to connections with various HCM platforms or can read email inboxes. I create agents based on this and ensure that using these actions, I am able to accomplish the desired outcomes.

One of the major problems that I encountered is that there are a lot of policy documents in place that people usually need to read. These documents are very long and may pertain to employee benefits and other topics. Because these documents are extensive and it becomes difficult for an employee to read all of them, I built out an agent that goes through these documents, refers to them, and drafts structured responses based on the queries that users input. The agent is divided into various branches that can read documents pertaining to benefit policy, absences, leaves, and can respond with a structured response and provide accurate descriptions to the user.

I received positive feedback from users. Glean Platform also offers an ability to track user usage. I went on the platform and kept track of the analytics and noticed that many people were using this chatbot very effectively. The agent was helping them save a lot of time. The feedback noted from users was typically that the agent saved a lot of time and simplified complex concepts for them. It saved time reading large document files that they would have done originally. The agent also served them a unique purpose where they were able to get curated responses based on their queries and not have to read the entire document itself.

I also built out custom actions in order to reference internal sources. These custom actions were connected to sources that Glean Platform can then read. Custom actions are very useful in that they allow me to connect to sources and fetch data from those sources that I initially could not do and expose it to an AI agent.

Glean Platform has a lot of various kinds of connectors and actions that they have in place. Glean Platform offers actions pertaining to data sources. Glean Platform offers actions pertaining to sources like Snowflake. They also have connectors for HCM platforms like Workday, where they allow interfacing with Workday and providing data from the platform. Glean Platform can also read data from Snowflake using Snowflake actions and offer structured insights on that. What I really appreciate is its ability to chain actions one after the other and also reference an output of a previous action in the next step. The main action that I found particularly useful for Glean Platform is the ability to read emails based on the actions that they have built in. This is very helpful. Also, what I found useful is the GUI interface that Glean Platform offers that allows users to intuitively build out agents based on a GUI interface. The branching logic and looping is done very well in Glean Platform.

The GUI has been very helpful for me because building out agents in an IDE or an integrated development environment is good from a developer perspective, but from the perspective of a user or a business side user who can intuitively just draft links and create branches, the experience is much better. Once these are secured by credentials, then fetching data from these platforms becomes very simple and intuitive. Glean Platform does a very good job at understanding and coagulating data and making sure that all of the data is populated correctly. The GUI makes things simpler and reduces the time to market effectively.

One thing that I noticed that was very good about Glean Platform as well is its ability to have actions from previous steps put into the next step. I can just quote an action of a previous step, and the output from that step is brought into the next step. In this manner, this is like writing a code script, but in a low-code manner. What I really appreciate about Glean Platform is the low-code, no-code interface that it offers. I can reference the platform very well, build out agents, reference previous steps, and I do not have to have a dependency on a code script. I can reference steps, get their outputs, put them into new steps, and the agent can then think and respond in a correct manner. What I have noticed is the reliability that these agents offer is very good.

Glean Platform has been very positive when I am using it in the organization. The major impact that I have noticed is how business users are now being impacted and they are using the platform because they understand it easily. It is so easy for business users to understand that the users are taking up ownership and building out agents. I have noticed that the number of agents on the platform has skyrocketed since its pilot earlier in the year. The feedback from the business has been very great, considering the fact that they mentioned that reading complex documents, getting analysis, building out, and streamlining their workflows is very good. This is the way I have seen a positive impact on the organization. A metric that I can note is that the number of users using the agents has been increasing substantially every single day. The number of users who are being educated about the platform and are building agents because of its simplicity is very good and it is increasing on a day-to-day basis. The footfall on the platform has increased substantially and this is one of the major metrics that I have noticed in order to see the adoption of Glean Platform throughout the organization.

I use Glean Platform's analytics dashboard. That has been very helpful in order to track usage across the platform as well as the different agents that have been built on the platform. Glean Platform's analytics dashboard has led to an increase in adoption of the platform because I can streamline and notice where more enhancements are required and add connectors or build agents accordingly. The major impact or productivity gains that I have seen is on the business side, where users have noted substantial productivity gains in repetitive tasks that they used to perform. For example, reading emails and generating insights or filling out manual documents that they used to do is now done by agents, and this has been very helpful for the users. In terms of productivity gains, this has been a boon for the users in my company.

I have noticed a lot of time saved using Glean Platform. Many manual processes that required substantial time to be invested by employees now have massive time saves. What I have noticed is that these repetitive processes have been automated and the times have reduced from substantial hours or days to a matter of minutes.

What I would like to see is an ease by which I can have different connectors set up. Right now I have to do a lot of back and forth in order to have these connectors enabled. Having them by default on the platform would be very helpful for me. Also, when developing custom actions, having a developer portal where users can track the log of how the requests are being sent to custom endpoints created would be helpful because right now I do not have anything of that nature. It is just a final response that I get and it becomes very difficult to keep track of what is happening in the backend. Also, the latency that the platform offers is a little high right now. What I have noticed is that on a particular query, the user has to wait a long time in order to get responses. If there is a way to reduce this time and improve performance by decreasing the time for responses, that would be very good.

I believe that the latency offered is a little high right now. If I can get prompt responses quickly, then that would be a real user experience enhancement. Also, what I have noticed is the problem that developers face when creating custom actions in Glean Platform, where we are not able to keep track of what is happening in the backend. A logger of sorts would be very good so that I can maintain an idea of what is happening in the backend. If that issue is resolved, along with also the issue of having custom connectors available from the start rather than going to Glean Platform and having conversations about the thing, then it would be very good. If these issues are resolved, then it would be a strong 10 out of 10 from me. But as of now, it will be an 8 out of 10.

Glean Platform is a very capable platform. It is good for indexing documents and reducing manual workflows by incorporating an element of AI in it. Business usage can be increased as well. The one caveat is if there are developers who are creating actions on Glean Platform, then I must keep an eye on the logging that I have for the platform because interacting with the backend systems becomes very difficult using Glean Platform. Also, what I have noticed is that it is a real challenge in terms of latency as some of the responses may take a little while to load. However, what I have noticed is that the responses are usually very accurate, and so it is a trade-off between speed and accuracy. This is what I would advise to someone who is looking at Glean Platform.

I have been working with Glean Platform for one year.

Glean Platform is a relatively stable platform with minimal downtimes. The experience has been very positive on my end. I have not noticed any downtime.

Glean Platform's scalability is very good. The number of users who have been using the platform in the company has been increasing on a daily basis and the number of agents have also been increasing, but the platform has been very capable in handling everything and the increased number of users. In terms of scalability, the platform is very good and the experience is very positive.

I have interacted with Glean Platform's support team. The experience is very positive. They are very prompt to give responses and it is a very great process interacting with them. I would rate the customer support a solid 4 out of 5. They have been very great in helping out with problems regarding custom action configurations and also building out specs for the custom actions. In that manner, Glean Platform's support team has been very good. They are also very knowledgeable and are prompt in their responses. This makes it a real breeze in order to develop on the platform because of the prompt support. I am very happy with the support and I would really recommend it.

I noticed a lot of time saved using Glean Platform. Many manual processes that required substantial time to be invested by employees now have massive time saves. What I have noticed is that these repetitive processes have been automated and the time has reduced from substantial hours or days to a matter of minutes.

Glean Platform was the first solution I evaluated and used in my organization. Glean Platform was the only one that I evaluated.

I think Glean Platform is a very capable platform and that the enhancements it offers and the way it is structured is very helpful. I believe that it is capable and it really enhances the user experience a lot by the user-friendly GUI that it is offering. Also, the ability to create agents that streamline business processes is a real aid in my opinion. I would highly recommend Glean Platform for usage in your company. I gave this review a rating of 8 out of 10.

I had a hackathon integrated with Capgemini, through which I gained access to Glean Platform and became familiar with the agents, architecture, and workflow, which was straightforward to understand. Since then, I use Glean daily for my queries and various solutions more than ChatGPT. It provides me with excellent assistance, deep analysis, and research answers that are unique to this platform and straightforward to build any agent that we require.

The hackathon project involved building a healthcare agent, but I am currently working on AI agent orchestration, which keeps my system in sync.

I have used all the major cloud providers including AWS, Azure, and GCP. I prefer to stick with AWS and GCP because they are thriving and the majority of AI implementations are choosing to be part of these cloud ecosystems. This is where AI expands across territories. There are already numerous implementations in these cloud providers. In AWS, I have used Bedrock, SageMaker, Lambda, and S3 buckets, which are already implemented and help when entering the world of AI. With GCP, I have been in a project and used the Agent Development Kit (ADK), which is very similar to Glean Platform and helps build AI with the agent kit. I have also used Vertex AI, which is impressive through their workflow.

Orchestration primarily decides which agent handles which part of a task and manages errors, retries, and complete state while maintaining the workflow effectively.

On the orchestration side, branching, looping, and human approvals support non-linear workflows in production environments with real-time access. Through refined and improved prompts, this helps in closing the loop with actual users.

One unique feature that stood out is that every step in the workflow can pause or recover from failures. Instead of finishing the entire agent in one go, this approach is interesting because if there is a minor change in a previously completed step regarding the state, I can re-edit and restart from the beginning. This is truly impressive.

I am currently working on an important HSBC use case, which primarily focuses on orchestration. Glean Platform helps in handling daily tasks with NLP and organized workflow, which branches out through the architecture. It fills up missing details, keeps track of context, automates the workflow, and assists with orchestration. Glean Platform places emphasis on security features, has full visibility and debugging support, integrates easily with APIs, and efficiently handles agents through orchestration.

Glean Platform can implement more models. The NLP creation could be a little faster, and while debugging is amazing, the routing also needs to provide higher quality outputs sometimes rather than extensive searching. It can also help by implementing permission-controlled access, so when logging in, it can check permissions rather than asking for API keys or raw credentials later.

I have been using the solution for over two months.

The platform is truly amazing. I have never seen any breakdown or error with Glean Platform. It is always working and always on point.

Glean Platform is scalable because it offers amazing features ranging from chatbot to building any agents. It helps with orchestration and any technical demonstrations that I need, providing end-to-end detail for everything.

Customer support is amazing. It starts with AI, and if I have a query that requires connecting with customer support, it is always available and accessible.

I have used many solutions, but Glean Platform is the best, and I would truly appreciate it if everyone considers this platform. Through its stimulating and straightforward approach, this is really impressive.

We had many other options such as DeepSeek, Claude, ChatGPT, Copilot, and Gemini model. However, this feature is very rare because Glean Platform is an overall 360-degree product that helps from A to Z, rather than addressing only specific areas.

The pricing, setup cost, and licensing were all free for us because it was a hackathon and the company came down to our campus for the event. We were the winners of the challenge they provided.

The pricing, setup cost, and licensing were all free for us because it was a hackathon and the company came down to our campus for the event. We were the winners of the challenge they provided.

I have already appreciated this platform and have given a demonstration of this project to my colleagues and friends. They are using it end-to-end daily.

The pricing, setup cost, and licensing were all free for us because it was a hackathon and the company came down to our campus for the event. We were the winners of the challenge they provided.

We had many other options such as DeepSeek, Claude, ChatGPT, Copilot, and Gemini model. However, this feature is very rare because Glean Platform is an overall 360-degree product that helps from A to Z, rather than addressing only specific areas.

After using Glean Platform, it does not give me any irrelevant answers or leave me with second thoughts. Instead, it provides very well-structured and on-point answers to my queries. The main factor is that every token is very costly and each token is very impactful. With less context switching, it helps me implement the queries I have or the routine tasks that exist.

A key area for improvement is that they can implement more models. However, there is always room for improvement because AI does not evolve over a decade but rather evolves every second, every minute, and every day. I rate this product a 9 out of 10.

My main use case for Glean Platform is general use at an introductory level.

Glean Platform offers excellent user interface design and integration capabilities with other platforms. The user interface provides intuitive workflows that have been instrumental in my experience. The integrations have been successful with all of our other platforms and have positively impacted my organization.

The successful integrations have improved workflows and made management easier in my day-to-day work.

I would appreciate a change to the color scheme of Glean Platform as a needed improvement, even if it is something small or minor.

I have been using Glean Platform for one and a half years.

Glean Platform is very stable.

Glean Platform has handled growth and changes well in terms of scalability.

I have not personally reached out to customer support, but my team has. Based on my team's experience, I would rate the customer support of Glean Platform as sufficient, giving it a rating of nine.

Glean Platform is the first of these platforms that I have used.

I am not privy to any metrics regarding return on investment, time saved, or resources reduced.

My experience with pricing, setup cost, and licensing for Glean Platform reveals limited options, and I wish there was more customization available.

Before choosing Glean Platform, I did not evaluate other options because Glean Platform was our first and only choice.

I have nothing specific to add regarding how I have used Glean Platform, how it fits into my workflow, or anything unique I have noticed. I have no advice to offer to others looking into using Glean Platform. I would rate this review an overall eight.

My main use case for Glean Platform is searching for information about web data and personal contacts. I also attempted to use it to automate a particular workflow that I run in strategic partnerships.

I wanted to create an AI assistant that works based on particular actions. For example, if an opportunity in Salesforce is in the pipeline, closed, or deferred, there are three sub-workflows attached to it that I have to redo repeatedly every day. I thought an AI assistant could identify what happens to a closed opportunity or what happens to an opportunity in the pipeline, then we could put it on the partner website and create a sample Excel sheet for that.

When I looked at Glean Platform features and compared it with other similar platforms, I found that it combines enterprise search and agents on top of a graph of company knowledge, which caught my attention. I am yet to fully explore that part because if I want to find internal information on companies spread across different systems such as 6sense and ZoomInfo, I think Glean Platform centralizes it. I tried searching for certain proposals, and that is the feature I valued and what motivated me to try it.

When I searched for internal information spread across different systems, Glean Platform did centralize and retrieve that data for me effectively, giving me eighty percent accuracy. I was looking for investment information in certain companies that was spread across Crunchbase, HNI's websites, Zauba, LinkedIn, 6sense, and ZoomInfo, and it gave me proper data on investment. I then had to go back and check on Crunchbase, which provided me all the information. I also tried searching for a tech stack to see what technology a company is using, and it was able to give me comprehensive information on cloud adoption.

It did have a positive impact on my own workflow and productivity. I run a lot of go-to-market strategy, and before running one, I need to really research certain personas and companies, and how they are pivoting, what they are writing about, and why they are in the news. Rather than going into ten different tabs, it was all there, which saved me a lot of time.

I think some of the user experience workflows would be helpful. The tabs and the way we switch between them sometimes cause confusion, so a really simple user interface would help.

I give it an eight point five rating because I want to leave room for improvement, and that is why I would reserve one point five. I tried pulling in an architecture diagram of a workflow, and it pulled in some other image instead. I also tried to check a Confluence document through it, but it just directed me to some API, so it all became confusing. It may be that I do not know how to use it properly, but that is why I am leaving one point five and keeping it at eight point five.

I have used Glean Platform only for approximately one month.

Glean Platform is very stable in my experience, and it was fast as well.

I did not see any limit in the trial version of Glean Platform. For third-party searches, I could integrate it with Slack, Google Drive, Jira, and Salesforce, and I do not see any limit there. I am not certain how it will handle the traffic when my company has six thousand people.

I do not have a specific number because I never thought about it in those terms. I realized that if I could have completed the same task for an entire day, I did it in two hours, so you can say nine hours versus two hours.

I advise others looking into using Glean Platform to explore it if they want to save time and if they do not have a budget constraint. I think at a corporate level, at the chief-level or vice president level, they can definitely purchase Glean Platform because it centralizes a lot of data in a single space. It indexes everything and arranges messy data, and that is the value I see. I think continuously adding more sources of data would be great. I give Glean Platform an overall rating of eight point five out of ten.

My main use case for Glean Platform is aggregating company info like a super Google, and then also using agents to streamline repetitive processes.

A specific example of how I use Glean Platform for aggregating company info or streamlining processes is conducting searches across multiple data sources like Confluence and Jira and other stored local documents and spreadsheets.

I use Glean Platform to evaluate multiple existing issues and historical issues and to offer suggestions on solutions.

The best features Glean Platform offers, in my experience, include being able to connect data systems that would not normally be connected.

Connecting those data systems has helped me significantly; for example, connecting Confluence with Jira tickets gives a much more speedy perspective and is faster to search than using each system individually.

Glean Platform has positively impacted my organization by speeding up a lot of repetitive tasks and making it easier for people outside of support to understand what kind of issues impact the support groups.

I have seen approximately a 5% improvement on ticket handling closures, particularly in time to closure.

Glean Platform works very efficiently and is very fast as a system.

Glean Platform could be improved by adding some wizards when it comes to creating agents. This was the main thing on my mind regarding needed improvements.

I have been using Glean Platform for a year and a half.

Glean Platform is stable.

Its scalability is good.

I have seen a return on investment in that fewer employees are needed.

My experience with pricing, setup cost, and licensing is that the licenses were expensive, and it was hard to convince the company to adopt based on that.

My advice for others looking into using Glean Platform is to use the trial time frame to allow multiple groups to test adoption first, and then use those results to determine whether your individual groups would be able to actually leverage the new functionality. Get their feedback.

I have additional thoughts about Glean Platform in that it is excellent and operates like a super Google and is really helpful. I would rate this product an 8 out of 10.

Glean Platform integrates with our enterprise data and tools and systems, so the use cases range from writing an email and replying to an email to reviewing documents like PRDs, RFCs, or system design documents and fetching answers for any open questions. I create many Glean Platform agents which can automate my use cases working in the capacity of a technical program manager, such as taking a first attempt at writing or drafting a project plan or escalation frameworks such as a RAPID document. I use Glean Platform for all these use cases which occur almost on a daily basis.

I use the RAPID framework, which is one of the escalation frameworks used by all organizations. RAPID means Recommend, Approve, Perform, Inform, and Decide. For any project where you are stuck at a decision, whether it is misalignment between product or engineering teams, a project that you are running with scope creep in the middle, misalignment between two engineering teams, or misalignment with the prioritization of any projects for any given quarter, you go through escalation and write a RAPID document which helps you reach a decision. A RAPID document identifies all the stakeholders for different functions and then also gives options such as option A or B, and then pros and cons of both options. It helps the decision maker to take an informed decision. Doing it manually is very time-consuming, and Glean Platform can do it in seconds. It can at least take a first attempt at it, and then if I am not happy with the output, I can make minor tweaks. For me, it works with eighty to eighty-five percent accuracy. This happens quite frequently. If I am running seven or eight projects in a quarter, out of those seven or eight projects, maybe two or three will have these misalignments, prioritization issues, or discussions where I need a RAPID document. Glean Platform helped me save a lot of time.

Glean Platform can range from very simple tasks such as drafting an email to writing an escalation email or summarizing a document, extracting key pointers, or creating personalized Glean Platform agents for my own use cases such as creating a project plan, taking a first attempt at writing a PRD, or creating a RAPID document. It can help with a variety of use cases.

The best feature of Glean Platform is that it can easily integrate into your enterprise and you can start using it almost immediately. Even a non-technical person can use it, so the learning curve is low and there is less barrier to entry. Anyone can create a Glean Platform agent and start using it for their own use cases. Creating a Glean Platform agent is very simple. You can just create a Glean Platform agent in natural language using AI, or you can customize the workflow manually if you want more accurate results. The ability to integrate with the entire enterprise data helps you take a first attempt at things such as writing emails, responding to comments in the PRD, creating a project plan, and writing a RAPID document. All these use cases are really powerful.

Productivity has really skyrocketed. Almost every person I talk to has created their own Glean Platform agents to do manual intensive tasks which would have required them maybe half an hour or one hour of work. Whether any stakeholder is a technical program manager, a product manager who would have spent a lot of time writing a PRD manually, or a software development engineer who would have taken a lot of time creating an RFC document or system design document, Glean Platform is very powerful. It can crawl through your entire enterprise data, think through the information, and then give output which is easily digestible and also very accurate. All these stakeholders are using Glean Platform for their own use cases. Their productivity has really increased. They are saving a lot of time which would have otherwise gone to doing this task manually.

Currently, Glean Platform does not integrate with Teams, Microsoft-owned platforms. The data which is residing in Teams conversations, meeting notes, emails, or Outlook cannot be crawled by Glean Platform. More customization and more integration would make it really powerful. Currently, it can read the entire organization data stored in wiki pages, Jira updates, or Slack channels, but it would have been more powerful if more connectors were provided to different platforms such as Microsoft-owned platforms, GitHub, Teams, or Outlook. This is one improvement that I foresee which would make Glean Platform more powerful.

The user interface of Glean Platform is actually really good. Speed depends on what kind of prompt you are giving and what kind of results you want from Glean Platform. I do not mind spending an additional three to four seconds and getting a more accurate result. The user interface is really easy to use. Of course, minor improvements can be made. The speed can be improved slightly. Currently, it sometimes takes fifteen to twenty seconds. If the speed can be improved slightly, users will adopt it more.

I have been using Glean Platform since the time I joined my current organization, which is almost one year and eight months, and I use it on a daily basis. It is really powerful and helpful.

Glean Platform is stable.

Glean Platform is extremely scalable.

For customer support with Glean Platform, we have an internal Slack channel, a Glean Platform support channel, or we can create a Jira ticket if we are stuck or need more features. Normally, it is very responsive. I do not think we are interacting directly with any Glean Platform customer support representative because we work for an enterprise that has its own internal Glean Platform support team. They might be interacting with the Glean Platform support team directly in case they are not able to solve anything. As an employee of my current organization, we do not directly interact with Glean Platform customer support. It is mostly through our internal customer support, and it is really good.

Glean Platform is my first exposure to enterprise AI. Glean Platform is the first solution of its kind that I have used and it is extremely powerful.

There is definitely time saved with Glean Platform. There is a direct correlation. I am easily saving one to two hours per week per program. If there are more programs, I am saving more. It is not just for the technical program manager. It applies to all the stakeholders that are involved in an initiative. There is a substantial time saving where Glean Platform is able to get results which you would have done manually. You would have never even gotten a result even if you spent multiple hours researching manually. Glean Platform is very powerful and can crawl through your entire enterprise data, learnings from other teams, project trackers from other teams, system design from other teams, and conversations happening on Slack. You can imagine the extent to which it can crawl through various platforms and give you a very accurate output. Time savings is definitely there, and if you convert time savings to dollars and money saving, that is also there. I cannot comment on how Glean Platform has replaced an employee yet because it improves your productivity, but I do not think it is replacing an employee. In the future it might for low-skill jobs, but for now it is mostly time saving and cost saving.

Being an employee, I am not quite sure about the pricing. I think the enterprise purchased enterprise licensing. The procurement team can speak more on this. We are just consumers of Glean Platform. I am not sure how much they negotiated per employee cost.

Glean Platform is a game changer and very good at taking a first attempt at anything. It will save a lot of time. I gave Glean Platform a rating of nine out of ten.

Glean Platform is currently being used primarily to focus on employee productivity. It is used for finding information, doing document comparisons, and educating our customers. For example, a banking customer selling credit card or loan solutions can compare and contrast two different credit card offers and find information quickly to serve customers better.

Glean Platform helps our teams and customers compare credit card offers or find information quickly by creating an agent for a particular set of data. This agent helps either a seller or myself to find information, upload two different credit card options or documents, and compare and contrast the differences very quickly within minutes rather than reading both PDFs and taking notes to explain to a customer. This improves productivity and saves time.

Our team uses Glean Platform primarily to find information quickly, do comparisons, and build agents across our own data. For example, we work on a lot of infrastructure builds with bill of materials for certain customers. Glean Platform helps us find and standardize the SKUs and standardize the SOW, or if the scope is the same across multiple projects in multiple countries, it helps us build a scope of work document across multiple projects in a couple of hours rather than doing manual effort.

Glean Platform offers several best features, including permission awareness, which is a very important security aspect. When you create an agent, the LLMs improve every three to six months, so Glean provides the flexibility to choose the large language model that is good at that given point in time. This flexibility allows me to have over 15 LLM models where a user can pick and choose whichever is best at that point.

Glean Platform's knowledge graph is excellent, integrating into the browser and giving a similar Google search feature look and feel, which is lightweight. Another important feature is the data connectors. All other agentic platforms have limited connections. For example, Copilot works well with the Microsoft suite but not on other integrations. Glean Platform provides over 100 connectors out of the box, which helps us and our customers reap the benefits of whatever information and investments customers make.

Glean Platform has positively impacted our organization, especially in terms of productivity for both us and our customers. Productivity has improved significantly with Glean Platform. The time saved for finding information and for comparing and contrasting definitely saves at least one to one and a half hours on average daily.

I did not find anything for Glean Platform that needs improvement. Although Glean is a single tenant architecture, customers might ask for an on-premise Glean Platform. I have not noticed much in terms of needed improvements. I think it is good for the productivity side, and whatever Glean Platform is doing is sufficient for now.

It has been almost two years for us using Glean Platform.

Glean Platform is very stable, as far as I can tell.

Glean Platform's scalability is decent because it is a public cloud, and we have not encountered any issues.

I have not switched from a different solution, but we were using both our own internal platform and Copilot along with Glean Platform. It depends on the type of task I want to accomplish. Before choosing Glean Platform, I evaluated other options, specifically Microsoft Copilot.

I have already mentioned that we save one to one and a half hours daily, which reflects our return on investment.

My experience with the pricing, setup cost, and licensing has been fair. I do not think when you compare it with platforms available in the market, the price versus features versus whatever Glean Platform is offering is decent.

I would rate Glean Platform a nine out of ten. I chose nine because customers do expect on-premise options, so that is why I did not give it a perfect ten. Currently, Glean Platform is deployed in our organization on a public cloud. We are using Google as our cloud provider, and by default, we are using the default Glean Platform which is on Google. The overall review rating for Glean Platform is nine.