The product definition process is key to the Software Development Life Cycle (SDLC). While traditional development approaches were designed to structure and simplify the process to launch, many of their dynamics don’t fit the current demands of the digital ecosystem, which seeks to define and launch products with increasing speed. The constant evolution of user needs and the progressive competitive environment require adaptive methodologies that allow rapid validation of hypotheses, optimization of resources and improvement of the product experience in each iteration.
In the specific case of digital product definition, quickly determining these details can be tedious for companies that want to stay relevant and meet today’s time-to-market. In this context, missing out on digital technologies costs companies time, money and market positioning.
AI Agents emerge as a solution that promises to reshape this process with exceptional efficiency gains, driving not only cost savings, but also a better customer experience and more efficient digital development time. At Globant, our Product Definition Agent (PDA) is optimizing the current process and bringing speed, accuracy and alignment in an era where these features are not only required, but more importantly, inevitable.
From chaos to clarity: An approach to the Product Definition Agent
The Product Definition Agent converts meetings into actionable data to boost productivity, enabling a more strategic view and reducing operational tasks. Through machine learning (ML) and natural language processing (NLP), this AI Agent interprets, transcribes and builds on recordings, whether audio, video or text. In short, it brings all the ceremonies, refinement sessions, and backlog definitions together and transforms them into practical user stories. That means that every idea is processed into an actionable point that serves different teams to align with both their needs and the market. In addition, it can connect to Jira or any project management platform to make the workflow smarter, faster and in tune with what customers need.
But the Product Definition Agent not only automates an operational process: It also reduces user story definition time by 35%, a revolutionary change in terms of product definition speed. As enterprise leaders look to generate ways to ensure their long-term success in AI, the incorporation of AI Agents becomes essential to generate a strategy that provides for quick innovation.
Less confusion, more results
The use of the Product Definition Agent brings both tangible and intangible benefits. On the one hand, it drastically reduces the cost of product development, tracks every requirement from inception to launch, and increases team productivity significantly. On the other hand, it eliminates the confusion of discussions between different teams, offers unparalleled clarity, and provides actionable information that boosts team productivity.
By 2028, one-third of generative AI interactions will be driven by independent Agents that won’t need constant human supervision to work. While the strategies around AI are becoming more robust and increasingly consider more aspects—such as business impact and ROI, selection of the right use cases, and alignment with an operating model—investment is growing accordingly: IDC projects it at $423 billion by 2027 with an equivalent return.
At Globant, we’re leading this transformation as a catalyst for the power of AI in our industry. Our Agents extract the best of this technology and human expertise to redefine processes to keep pace with this new era, where leveraging intelligent technologies will set aside those who pursue change from those who drive it.
Don’t get left behind and learn more about our Product Definition Agent here.
