Alka Goel, Founder and JMD, HIPL
What differentiates HIPL’s innovation culture and R&D approach from other IT solution providers?
At HIPL, innovation has never been about chasing trends, it’s about solving real, on-ground business challenges. Over the past 25 years, we’ve built, implemented, and supported some of the most complex enterprise systems across Oracle, PeopleSoft and numerous other standard and custom ERPs. That experience shaped our approach to R&D. We focus on practical innovation, technology that simplifies decisions, accelerates access to insights, and fits seamlessly into enterprise ecosystems. Our teams are encouraged to experiment, but with a clear purpose: to deliver measurable value, not theoretical outcomes.
What are the main challenges in making AI understand enterprise-specific terminologies and workflows?
The biggest challenge is context. Every enterprise has its own structure, naming conventions, and business logic that don’t always align with generic AI models. We’ve solved that by training askme360 to interpret data within the framework of ERP systems like Oracle or SAP, as well as custom SQL environments. It learns how each organization works, not just what the data says, but what it means. That’s what turns AI from a generic assistant into a true enterprise ally.
How do you see askme360 fitting into and enhancing your existing product ecosystem?
askme360 is the intelligence layer that brings our ecosystem together. HIPL has long specialized in building enterprise systems that manage transactions and processes efficiently. askme360 adds the insight dimension, it sits across those systems, understands natural language, and provides instant answers. It complements everything else we’ve built, turning static enterprise data into live, conversational intelligence that helps business leaders make faster, more confident decisions.
What AI frameworks and technologies power askme360’s natural language understanding and predictive analytics capabilities?
askme360 combines natural language processing, machine learning, and secure cloud architecture, all optimized for enterprise environments. The natural language layer understands complex business questions and converts them into real-time SQL queries, while our predictive engine identifies trends, anomalies, and forecasts. It’s built to be explainable, fast, and enterprise secure. The focus is always on clarity and trust, AI that decision-makers can rely on, not just marvel at.
How do you allow extensibility regarding client-specific business logic, KPIs, and custom metrics while maintaining a stable core?
Our architecture follows a modular design philosophy. The core engine of askme360 remains stable and secure, while everything around it can be customized. Clients can add their own KPIs, business rules, or workflows without disrupting the foundation. This approach gives enterprises the flexibility they need without compromising performance or governance. It’s how we maintain scalability while keeping the product adaptable to every organization’s needs.
How do you plan to scale askme360’s adoption among SMEs and mid-sized enterprises, not just large corporations?
We see AI-driven decision intelligence as something every business should have, not just large enterprises. Our focus now is on accessibility. askme360 can be deployed quickly, without heavy IT infrastructure or long onboarding cycles. We’re introducing modular pricing and pre-trained agents that are ready to use out of the box. For smaller businesses, that means faster ROI and less dependency on technical teams. It’s enterprise-grade intelligence, simplified for every scale.
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