AI is already changing how product managers work by by automating manual tasks, accelerating product discovery, and enabling more strategic decision-making. In this article I will share practical tips of how to include AI in your work, as well as examples companies using AI to accelerate product management workflows.
Starting at your desk AI chatbots like PerplexityAI can help you conduct market research and competitor analysis by searching and summarising vast number of data source. PerplexityAI is a useful starting point as it shares with you the sources it used for the analysis.
Taking things a step further analysing product analytics and user feedback: Products such as Userpilot provide AI functionality that allows PMs to collect, categorise, and synthesise user feedback, removing noise and potentially brining you actionable ideas ready for roadmap prioritisation. In addition tools like Zeda.io use automated tagging and categorisation of customer feedback to generate insights to keep product information structured which means PMs spend less time in administrative work and more time guiding strategic direction
Companies are adopting AI tools that synthesize feedback at scale to identify trends, pain points, and new product opportunities across channels in real time. It is important to remember: Your AI is only as good as the data it learns from. By Fuelling AI with high-quality feedback from reviews, support tickets, surveys, and social channels to see the full picture, you are giving yourself the best chance to succeed with AI.
With AI companies like Lovable, or with the assistent of chatbots, product mangers have the opportunity to create prototypes rapidly. This enables product managers to create no-code or low-code mockups and iterate quickly on concepts. This not only speeds up validation with stakeholders but also reduces hand-off friction between product, design, and engineering teams. With autocoding and vibecoding platforms, product managers can ideate and test new solutions faster than before.
Why is this such a critical opportunity? As these tools provide a powerful way to help product managers validate hypothesis, and test out features with little effort from engineering teams. This significantly shortens the cycle to evaluate ideas, reducing the need to build and launch when confidence is low.
One of the most effective ways to accelerate your AI and product management journey is to partner with an experienced mentor. MentorCruise offers access to top industry mentors who provide personalised guidance, accountability, and real world insights tailored to your goals. A mentor can help you navigate challenges, tailor AI adoption strategies, and build confidence faster than going it alone.
By combining hands on practice with expert mentorship and continuous learning, you’ll develop the skills and mindset needed to make AI a true strategic asset in your product management career.
AI algorithms help product managers prioritise features by objectively evaluating user need, projected impact, and resource allocation. Instead of debating feature priorities based on intuition alone, product managers can use AI-generated insights from historical data to predict customer adoption and retention. These generated recommendations empower PMs to focus on high-impact work, avoiding guesswork in roadmap creation.
AroFlo, a tech company using Productboard AI, cut manual feedback processing times by 30 minutes per task and released several high-impact features in a single year all because AI streamlined theme detection in user insights and automated tedious analysis. This freed up their product managers for more creative and strategic initiatives, illustrating how the right AI tools lead to happier teams, faster releases, and higher customer satisfaction
To truly unlock the power of AI in product management, it’s essential to take deliberate, practical steps that move beyond theory and straight into action.
Here’s how product managers can start getting hands-on and build real expertise with AI perfect for MentorCruise readers eager to grow their skills and impact:
Don’t just read about AI start using it. Experiment with AI-driven platforms that make your day-to-day PM tasks easier: from automating user research and feedback synthesis to speeding up prioritization and prototyping. Tools mentioned in this article like PerplexityAI, ZedaIO, Productboard AI and Userpilot can give you immediate, practical insights while helping you understand AI’s real world potential.
You don’t need to be a data scientist, but knowing the basics of AI and machine learning will boost your confidence and help you communicate effectively with your engineering and data teams. Look for beginner-friendly courses tailored for product managers or business professionals to build this foundation.
Find an opportunity at work or a side project where you can experiment with various AI tools to see how they can help you in your work, automate workflows with tools like N8N, build prototypes fast with vibe-coding tools, valuable market analysis with AI-chatbots.. The possibilities are endless.
Keep focus by selecting one task at a time, test where AI can quickly add value whether that’s automating customer feedback analysis, drafting product docs, or surfacing market trends. These small experiments will help you learn by doing, where AI can make an impact in your work.
Why is this important? I believe that by educating yourself with practical experience and perhaps a mentor along the way you can stay ahead of the curve in understanding how AI can help in the work of product management. If it's not already an expected skill set from employers (implementing AI in your product management work) I am sure it soon will be.
If you have enjoyed this article and would like to discuss on AI within product management, book a free intro call with me (the author of this article). I have built my career in product management, and in recent years started to focus on AI tools for my workflows as well as building product that scale AI solutions for financial institutions. If you would like to connect, I look forward to support you on your product management career.
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