Nisum

Our way of working is AI powered, impact driven and human centered. This mindset has been an essential part of every solution we have developed and every relationship we have built. We build success by blending intelligent platforms with deep industry expertise, always focused on real business outcomes. Our journey has been made possible thanks to the trust of our clients and the talent of our teams, who share the same conviction to make a real impact on business. Today we celebrate what we have achieved as well as everything we are yet to create. This celebration does not mark an end but rather a new stage with the same commitment to generating sustainable value with every solution we deliver.

We have been building success alongside our clients for more than 25 years. We do this by developing solutions that combine intelligence, scalability, and business focus to solve real challenges in sales, operations, and technology. In sectors such as retail, banking, and services, we support digital evolution with tools such as SophiA, our AI-based commercial proposal generator that streamlines the work of the sales team, and our omnichannel digital platforms, designed to integrate operations and improve the customer experience in real time. Each solution is designed to respond to a specific need and accompany organizations in their growth with systems that work, scale, and generate value from day one.

As agentive systems become integrated into critical functions, decisions are no longer based solely on intuition or experience. They require interpreting probabilities, analyzing model-generated recommendations, and defining when to intervene or when to let processes run their course. At Nisum, we address this new context with solutions such as Qbric, our AI-based quality assurance automation tool. Qbric generates scripts directly from source code, integrates natively into CI/CD pipelines, and automatically adjusts to interface changes without requiring manual intervention. This reduces the operational burden on the QA team, improves functional coverage, and enables more agile and consistent development cycles. The value lies in building organizations capable of operating with distributed intelligence, articulating collaboration between agents and people to achieve precision, adaptability, and control.

The use of artificial intelligence in business is growing. But a real understanding of how it works, its limitations, and its logic does not always accompany it. This creates a gap that can jeopardize both results and trust. The AI Judgment Layer proposes to close that gap by developing organizational skills that allow recommendations to be interpreted, decisions to be made on when to follow them, and control to be maintained in uncertain scenarios. This layer cannot be built in isolation. It requires involving leadership, redesigning processes, creating standards of explainability, and training users in probabilistic thinking. Only then can AI become a tool for meaningful decision-making, rather than a black box with results that are difficult to question. At Nisum, we explore how to implement this layer with purpose and precision. Read more here: https://lnkd.in/dzmdmDiB

Many Fortune 500 companies have invested in artificial intelligence with well-intentioned pilot initiatives. However, in numerous cases, these initiatives do not progress beyond the testing phase. The explanation lies not in the models themselves, but in everything that surrounds them. The absence of a unified data architecture, the lack of governance mechanisms applicable at scale, and the disconnect between expected results and actual workflows limit the impact. Scaling requires treating AI as a structural capability. This involves integrating sustainable data engineering practices, enabling traceability in algorithmic decisions, and redesigning systems to allow autonomy in critical processes. AI can move from isolated functional models to distributed systems that act on the business with consistency and purpose. At Nisum we help organizations make that shift by transforming potential into scalable and enterprise-grade impact.

Every solution developed over the past 25 years has been an opportunity to learn, improve, and create new capabilities. From e-commerce platforms back in the 2000s to agentic solutions, each development has been integrated into structures that allow us to scale, adapt, and move forward. This is how we continue to build success through technology.

N’spire 25: Celebrating 25 Years of Success Builders This Silver Jubilee marks a milestone in Nisum’s journey as we celebrate 25 years of innovation, collaboration, and purpose. At N’spire 25, our Nisum India team came together to honor the people who build our success every day. It was a celebration filled with creativity, connection, and pride, with inspiring performances, engaging games, heartfelt recognitions, and the unveiling of our anthem. Here’s to the journey, the legends, and the legacy that continue to inspire us all. #WeAreNisum #Nisuming #Nspire25 #ProudNisumite #NisumJourney #SuccessBuilders

Artificial intelligence is involved in thousands of everyday interactions today. But if those interactions are not understood, they cannot be corrected, and if they do not offer clear forms of human oversight, what is at risk is not only the user experience, but also trust in the brand. Trustworthy AI is built into daily operations, with explainability, accountability, and systems that learn not only from data, but also from the impact they generate. The debt of trust arises when speed is prioritized over dialogue. When trust is broken, it is not enough to simply acknowledge it. It is necessary to act with transparency, empathy, and responsibility toward those affected. Only then can a real process of reconstruction begin that goes beyond systems and touches on the relationship with users.

The difference between generative artificial intelligence and agentic AI is marking a new era in digital operations. While generative models improve content creation, script writing, and document support, agentic systems operate autonomously, monitor environments in real time, and execute complete tasks without human intervention. This shift expands the capabilities of technical teams, allowing them to focus on strategic initiatives while automated agents handle repetitive tasks, infrastructure maintenance, and corrective actions. At Nisum, we design solutions where both forms of intelligence coexist in an integrated manner, enabling our clients to move toward automated, resilient, and results-focused workflows.

Nisum works with an ecosystem of services designed to generate cross-cutting impact. From the cloud to the supply chain and end-customer personalization, all layers of the architecture are designed to interact with each other. This integration allows data to flow without barriers, processes to be aligned with business decisions, and the value generated to be distributed across multiple areas at the same time. Transformation occurs when the entire system works in a connected manner.