What I like most about AutoGenAI is how easy it is to use. The platform is intuitive, straightforward to navigate, and makes it easy to find what I need without wasting time.

I also really appreciate the attitude of the entire team. They are clearly dedicated to improving the user experience and are always looking for ways to make the platform more efficient, accessible, and enjoyable to use. It's great to see a team that actively listens to feedback and continuously develops the product.

The functionality is another standout feature for me. Compared to other AI tools, AutoGenAI is much more focused on the bid writing process, which makes it significantly more efficient and relevant to my day-to-day work. It helps streamline tasks, improves productivity, and ultimately makes producing high-quality bid responses quicker and easier.

Overall, I'm very pleased with the direction the platform is heading. The improvements being made are genuinely valuable, and I'm excited to see how it continues to develop and get even better in the future. Review collected by and hosted on G2.com.

There is very little that I dislike about AutoGenAI. If I had to identify one area for improvement, it would be the speed of the AI at times. However, as someone with an understanding of the technology behind these tools, I appreciate the complexity involved and don't hold this against the platform. In my experience, the benefits far outweigh any occasional delays.

The main improvements I would suggest are:

Word/Character Count Reduction Accuracy – The “Reduce Word Count” function does not always achieve the requested target accurately. At present, I find the “Ask AI” feature more reliable when refining responses to specific word or character limits.

Font Size Formatting in the Word Add-in – There are occasions where generated content appears with an unexpectedly large font size, requiring manual reformatting before use.

Hallucinations in Gateway References – I have encountered some instances where gateway references were not accurate. This has already been raised with the Linguistic Engineering team for review.

Overall, these are relatively minor points in comparison to the value the platform provides. The team has consistently demonstrated a commitment to listening to feedback and improving the user experience, which gives me confidence that these areas will continue to be refined over time. Review collected by and hosted on G2.com.

The new project and artefact workflows and how it automatically flows to the storyboard panel. It has removed some of the most painful part of bid writing which is running the analysis and developing win themes. Review collected by and hosted on G2.com.

1. The pre proposal artefacts are not numbered, so I need to keep the training sheet open to remember the sequence. 2. The pre proposal phase should be named "inputs" or "bid artefacts", this is because many short turnaround tenders are actually analysed and assessed once the RFP is out. 3. The automated response outline doesn't work well when uploading complex documents or forms such as CUAs. 4. The assignment is sometimes not editable, and the storyboard inputs sometimes can only be added as label or tags. Haven't figured out how to avoid that. Review collected by and hosted on G2.com.

What I like most about AutogenAI is the control it gives me over the information it uses. I can pull answers from a specific library, webpage, or my own uploaded files, which makes the output much more reliable and relevant. This is especially useful when working on proposals where accuracy is critical. The “Ask AI” feature is something I use often—it consistently gives useful responses based on my prompts and helps me move forward quickly when I’m stuck.

From a workflow perspective, it has made a noticeable difference. Creating the first draft of proposals is usually time-consuming, but AutogenAI speeds this up significantly. It also helps me analyze RFx documents more efficiently, saving me a lot of manual effort.

In terms of UI/UX, the platform is quite intuitive. It doesn’t take long to get used to, and navigating between features like Ask AI, document analysis, and content generation feels smooth. The layout is clean and practical, which makes day-to-day use easy.

Performance-wise, I’ve found it to be reliable. The responses are generally quick and relevant, and I haven’t faced any major issues while using it regularly.

On integrations, while I mainly use it with internal libraries and uploaded documents, that capability itself is very powerful. Being able to centralize and reference trusted content sources adds a lot of value.

Pricing and ROI-wise, the time it saves on drafting and analysis definitely justifies the investment. It reduces the effort needed for repetitive tasks and allows me to focus more on refining content rather than starting from scratch.

Support and onboarding have been excellent. The onboarding process was smooth, and the training sessions were genuinely helpful. Sean and the Autogen team were very supportive and made sure everything was clearly explained and easy to set up.

Overall, the AI capabilities are strong and practical—not just generic outputs but context-aware responses based on trusted inputs. It’s a very valuable tool in my day-to-day work, especially for proposal drafting and RFx evaluation. I’d confidently rate it a 10/10 and would definitely recommend it. Review collected by and hosted on G2.com.

One area where AutogenAI could improve is expanding beyond text-based outputs. For example, having the ability to create simple graphics, visuals, or charts directly within the platform would be very useful. Right now, I need to rely on other tools for this, which breaks the workflow and adds extra steps.

Collaboration is another area with room for improvement. While the current functionality works, it can feel a bit limited when multiple users are contributing to the same document. More seamless collaboration—such as easier sharing, clearer version control, or real-time editing—would make teamwork much more efficient, especially for proposal development.

From a usability standpoint, the UI is generally clean, but managing multiple documents or switching between tasks can sometimes feel a bit less intuitive than it could be. Streamlining navigation and improving how content is organized would save time during daily use.

In terms of integrations, the ability to use internal libraries is strong, but deeper integrations with commonly used tools (like document management or collaboration platforms) would help reduce manual effort and improve overall efficiency.

Performance is mostly reliable, though there is occasional lag when working with larger or more complex documents. Improving responsiveness in these scenarios would make a noticeable difference.

Overall, these aren’t major issues, but addressing them would significantly enhance the user experience and make the platform even more powerful for day-to-day work. Review collected by and hosted on G2.com.

I really like the Research feature in the Home section of AutogenAI, as it provides access to market insights, and reference materials. The Ask AI feature is another favorite because it gives guidance in creating bespoke content. I'm also a fan of the Smart Requirements Workflow, which helps with outlining, summarizing, and making project setups easier and more simplified. Review collected by and hosted on G2.com.

I dislike that AutogenAI lacks suggested prompts or guided recommendations, and the output could be easier to read for example- in tabular/easy to read format instead of long paragraphs. The interface can feel complex for users who are not tech-savvy. Sometimes, you do not get the exact information from specified URLs in the web search. Review collected by and hosted on G2.com.

AutogenAI is one of the strongest AI-powered proposal writing platforms currently available for enterprise bid teams. It is particularly effective at accelerating proposal creation, RFP analysis, content generation, and compliance review Review collected by and hosted on G2.com.

it should be viewed as a proposal augmentation tool rather than an end-to-end autonomous proposal solution. Human expertise, solutioning, governance, and final quality review remain critical Review collected by and hosted on G2.com.

As a remote-based Bid Writer, I love that AI feels like a colleague I can bounce ideas off to get my writing underway. The direction and structure it provides help ease that dreaded writer’s block, especially when a task starts to feel overwhelming. Review collected by and hosted on G2.com.

AI is changing and evolving rapidly. Alongside my day job, staying on top of the ongoing interface changes makes it difficult to become fully conversant with the system. Review collected by and hosted on G2.com.

I use AutogenAI to help with bid writing, and I really like the new features that aid accelerated storyboarding and creating a first draft from client documents. AutogenAI makes it much quicker to create a first draft response compared to before. It's also easy to find relevant case studies to support the drafting process. I appreciate the quality of written responses as they are very good and human-like, which is an area where AutogenAI excels over other AI competitors. Additionally, I value the ability to reverse search for the source document related to a case study mentioned in a response draft, as it provides assurance that case studies are not taken out of context. The initial setup is very easy, virtually requiring no setup for users. Review collected by and hosted on G2.com.

I wish AutogenAI could connect to my company's SharePoint because it would provide a much greater source of relevant information for writing. Additionally, I feel that AutogenAI could do better in picking case studies limited to only the last few years, as older ones are less relevant. It would also be great if the AI recognized that case study examples should only be provided for my country's office, especially since my company is multinational. Review collected by and hosted on G2.com.

The tool feels comprehensive overall, especially in terms of its AgenticAI capabilities. Many functionality and features for user. Comprehensive output generation in a fast manner (if run performs). Trainer was very responsive and supportive during sessions Review collected by and hosted on G2.com.

Again, users sometimes run into performance issues. Navigating the site from Home to Project to My Draft took a little while to understand and fully comprehend. Practical training will eliminate most of the uncertainty. What still remains challenging is assigning particular documents to particular analyses, such as assigning a Word template from a client—with a specific response structure—within Outline generation, so the system knows which template to follow. Review collected by and hosted on G2.com.

Ideator - great for storyboarding, something which seems very obvious but it's very easy to miss crucial requirements while focusing on something else.

Expand - great for when you have to do a deep dive on a specific subject and English is not your first language

Evidence - perfect for responses with tight word limit - you can get the essence of your example without losing the most effective bits Review collected by and hosted on G2.com.

I would like the search feature to go through my previous sessions, so I can easily find something that I already asked about - which will minimize the amount of AI queries and therefore minimize the enviromental impact. Review collected by and hosted on G2.com.

What I like best about AutogenAI is that it genuinely supports the bid writing process rather than feeling like a generic AI tool. It is particularly useful when working with large volumes of tender information, technical input and strict response requirements, as it helps turn complex content into clear, structured and client-focused responses.

From a day-to-day user perspective, the interface is straightforward and easy to navigate. The workflow feels logical, which is important in a bid environment where time is often limited and users need to move quickly between prompts, drafts and refinements. It helps reduce the time spent starting from a blank page and gives a strong first draft that can then be shaped with project-specific detail, evidence and commercial insight.

The AI capability is valuable because it helps improve structure, clarity and consistency. For example, when developing responses around mobilisation, compliance, innovation, asset management or service delivery, it can help frame the answer properly, reduce duplication and keep the response aligned to the question. It is also useful for tightening wording where there are strict word or page limits.

From a performance and ROI perspective, the main benefit is time saving. It speeds up early drafting, helps organise content more efficiently and allows more time to be spent on adding quality, evidence and client-specific detail. That is where the value comes from, because it supports both productivity and response quality.

The onboarding and support have also been helpful, particularly in understanding how to get the best out of the tool rather than just using it for basic drafting. An unexpected benefit is that it can challenge the way a response is written by highlighting where the message could be clearer, more concise or more benefit-led. Overall, it has improved my workflow by making tender response development quicker, more consistent and easier to manage. Review collected by and hosted on G2.com.

What I dislike about AutogenAI is not so much a major issue with the platform, but more that it still requires careful review and human judgment to get the best outcome. The first draft can be useful, but it sometimes needs significant tailoring to make sure the response is fully aligned to the client’s question, the evaluation criteria and the specific operational solution being proposed.

At times, the wording can feel slightly generic if the right information is not provided upfront. In a tender environment, this means the user still needs to add contract-specific evidence, case studies, commercial detail, local delivery information and proof points to make the response credible. It is not a replacement for bid strategy or subject matter expertise.

There can also be occasions where the content needs tightening to meet strict word counts or page limits. The tool is helpful for structure and clarity, but it can sometimes produce more wording than required, so additional editing is needed to make the final response concise and focused.

From a workflow perspective, the value depends heavily on how well the source material, prompts and inputs are prepared. If the input is too broad or unclear, the output can require more refinement. I would also like to see even stronger integration with approved bid libraries, case studies, pricing assumptions and contract-specific data, as that would make the outputs even more tailored and reduce manual checking.

Overall, I see AutogenAI as a strong support tool, but it still needs experienced users to review, challenge and shape the content so that it is accurate, specific and genuinely client-focused. Review collected by and hosted on G2.com.