At Harbinger, we integrate Agentic AI in Requirement Gathering to bring structure and precision into the earliest stages of the SDLC. By embedding intelligent agents across requirement gathering, planning, and design, we eliminate ambiguity, reduce rework cycles, and accelerate go-to-market timelines.
Our solutions proactively identify gaps, co-create user stories, sequence development activities, and recommend optimized design flows. This empowers product teams to move from concept to code with clarity, confidence, and speed.
Gain firsthand insights from our technology leaders on how agentic AI is transforming early-stage SDLC execution and driving faster, smarter product delivery.
Watch Shrikant Pattathil, Chief Technology Officer, and Subodh Bhide, Vice President – Technology at Harbinger Group, decode how AI in Requirement Gathering bring structure, clarity, and speed to SDLC planning and design.
How is agentic AI improving requirement gathering?
Agentic AI acts as a proactive collaborator during early SDLC phases. Instead of just recording inputs, it listens to conversations, identifies missing details, and prompts clarifying questions. It acts like a proactive senior BA or architect, reducing rework and ensuring clarity early in the lifecycle.
How do humans and agentic AI co-plan and co-design effectively?
Agentic AI enhances, not replaces, strategic thinking. It handles mechanical, data-heavy tasks such as mapping goals to backlog items, estimating effort, and suggesting sprint sequences so teams can focus on creativity and product innovation. In design, AI generates multiple intelligent mockups, which experts refine to match branding and usability goals.
How will agentic AI evolve in planning and design phases of the SDLC?
Agentic AI is moving from supporting isolated tasks to becoming a system-level orchestrator. In planning, it will align product strategy, design quality, and team capacity. AI agents will identify bottlenecks, highlight dependencies, and propose phased deliveries. In design, agents will suggest effective visualizations, flag compliance risks, and detect potential biases. This will minimize design debt and strengthen alignment across teams.
Integrate AI in Requirement Gathering and Planning to bring clarity, speed, and innovation to your SDLC.