#agenticaisystems

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Product engineering is constantly evolving. How do you see modern enterprises shifting from traditional IT outsourcing to long-term engineering partnerships, and where does Aziro fit in this new model? Rohit Yadav: How Aziro Is Transforming Product Engineering Enterprises today want partners who build with them, not for them. Traditional outsourcing was about handing work over. Now companies want co-owners who understand their customers, think long term, and help shape the product vision. I often say, “A modern engineering partner is part architect and part guardian of the product.” This is exactly where Aziro fits. For one of our US clients in the logistics space, we spent months working with their product leaders, redefining user flows, and even co-presenting to their board. That is a partnership. It is not a vendor model. It is a shared mission to build something that lasts, scales, and evolves. In digital transformation, most companies struggle with execution, not strategy. What approach does Aziro follow to convert tech roadmaps into real, scalable outcomes? Execution succeeds when teams move with clarity and rhythm. I often tell our clients, “A roadmap is a promise, but execution is the proof.” At Aziro, we break complex transformations into simple, operational steps supported by automation, DevOps maturity, and tight feedback loops. A recent example is a Fintech client who had a strong vision but lacked execution velocity. We brought in structured sprint rituals, automated release checks, and measurable KPIs. Within months, releases that earlier took weeks were going live every few days. The strategy did not change. The discipline did. That is where true transformation happens. With AI, automation, and cloud becoming core to innovation, what are the biggest technology shifts you see among ISVs and enterprise clients in 2025? The most significant shift we are seeing is that AI has evolved from an experiment into the core layer of modern engineering. I often remind my teams that AI is no longer an add on. It is the starting point. Independent software vendors are adopting AI native architectures where intelligent agents manage performance tuning, automated testing, and early product decisioning. Enterprises are also relying heavily on multi-cloud intelligence because cost, security, and performance now change by the hour, not the quarter. A recent example is an e-commerce client who used AI-based demand forecasting to auto-scale their infrastructure during peak sale events, improving checkout speed and reducing cart abandonment. This combination of AI, automation, and cloud intelligence is fundamentally reshaping how organisations design, build, and operate technology in 2025. Aziro has built and scaled products across storage, servers, gaming, and enterprise software. Can you share a recent transformation or product lifecycle success that stands out? A transformation I am proud of is our work with a global storage technology company. Their release cycles were painfully slow, and customer issues were piling up. We introduced automated validation, AI led defect prediction, and a modular design approach. Within a year, their release cycles became significantly shorter. One of their senior directors told me, “It feels like we finally have control over our product again.” The best part was the cultural shift. Teams moved from firefighting mode to a confident, proactive engineering rhythm. That transformation went beyond technology. It rebuilt trust, speed, and product stability. As companies modernise legacy systems, talent and mindset gaps often slow them down. What skills and leadership shifts do you believe will define the next generation of engineering teams? The next generation will need a mix of technical sharpness and adaptive thinking. AI assisted development, cloud native design, and automation first engineering will be baseline skills. But mindset is what truly changes outcomes. I often say, “Great engineers solve problems. Great teams prevent them.” Leaders must encourage ownership, learning, and experimentation rather than command control. One of our teams recently redesigned a legacy onboarding system simply because they questioned an old assumption. That mindset shift saved the client weeks of manual work. Curiosity, collaboration, and long term thinking will define the engineering teams of tomorrow. Aziro has grown through strategic acquisitions and global expansion. What does the next phase of growth look like, and which technology areas are the biggest focus for the future? The next phase is about scale with intelligence. We are investing deeply in AI native engineering, cognitive automation, and autonomous cloud operations. I often tell our teams, “The future belongs to products that can run themselves.” We are also expanding our presence across the United States, Europe, and Asia Pacific to stay closer to clients and bring more cultural alignment into our work. A big focus will be agentic AI systems, intelligent infrastructure, and the next wave of platform engineering. Growth for us means building capabilities, not just capacity, and helping clients modernize with confidence, speed, and a sense of partnership. FOR MORE BLOGS - beyondthepunchlines.com Read the full article