By leveraging advanced Natural Language Understanding (NLU) and deep contextual awareness, they can process complex queries from different business teams, decode intent, and uncover hidden business challenges—whether in customer engagement, revenue growth, churn reduction, or product optimisation.
Trained on trillions of real-world data points, they dynamically develop their own reasoning by analysing all possible data. It does not just retrieve answers; it derives insights, forms strategic interpretations, and anticipates future outcomes to enable proactive decision-making.
Niya-X moves beyond recommendations—it is built to autonomously create and execute workflows to solve business problems at hand. Whether it’s personalising digital onboarding journeys, optimising campaign performance, or automating customer issue resolution workflows, Niya-X executes decisions with precision, speed, and contextual intelligence, reducing the need for manual interventions.
Unlike static AI models, Niya-X is powered by a Federated Learning Engine that continuously refines its intelligence. Trained on trillions of real-world data points, it dynamically adjusts its reasoning to market shifts, customer behavior changes, and evolving business goals. It adapts and improves its workflows to get better results.
It creates new product bundles, handles product inquiries, discovers GTM segments, suggests price adjustments, does sales forecasts, optimises existing catalog, etc.
It predicts context/issue, does smart routing, maps resolution channels and agents, guides agents on resolving issues, prepares interaction summaries, etc.
It guides in setting strategies and tactical plans, discovers upsell/cross-sell opportunities, optimises offers and messaging, autonomously designs campaigns to achieve specific outcomes, etc.