Businesses worldwide are now facing the law of diminishing returns in data management. Some years ago, the mere possession of an ERP package, which streamlined data and transactions provided for competitive advantage. As corporation after corporation bought the same technologies and mastered data management, real competitive advantage shifted to managing knowledge. In all areas of business endeavor, using AI and managing knowledge and IP would provide the only source of enduring competitive advantage.
A very prominent marker of NextGen SourcingTM is Building AI-based Enterprise Systems. The company’s trademarked Enterprise Management Systems (EMS) methodology in development since 2007, successfully marries AI and Analytics with the rigour of Business Process Management (BPM) enabled by the exciting new possibilities of Robotic Process Automation (RPA). The EMS methodology also helps evolve distinct Business Value (BV) and Return-on-Investment (RoI) cases for sophisticated Analytics exercises.
Services include but are not limited to:
Building Agentic-AI factories
Outsource your entire agentic-AI programs to us. From strategizing to delivering, from the simplest of agents to complex multi-agent architecture, we can implement agents with technologies, LLMs and frameworks including: Crew AI, Claude, Gemini Pro, ChatGPT, Llama, MCP, Gemini, Langchain, Langgraph, Lanextract, Open AI agents SDK, Microsoft Agent Framework, Cursor, n8n, Google a2a and Google Jules. Such agents would be built with sophisticated Context Engineering and Agentic RAG facilities.
BPR for integrating AI and business processes
Many corporate agentic and other AI efforts are failing and creating disillusionment. The primary reason is that such efforts lack rigorous integration with the business context and business cases. Foisting AI on existing business processes may yield only marginal returns or sometimes even negative returns. Varying degrees of Business Process Redesign (BPR) may be required to ensure measurable unambiguous success. Integrating AI with business processes to evolve robust business cases for AI investments is a cornerstone of Anantara’s EMS methodology.
Knowledge Base Design and Management
The venerated homily that applied to the data management age, “Garbage in, garbage out,” is only more inexorably relevant to AI-based systems. The quality of decisions or the work performed by such systems will depend completely on the quality of the knowledge that the methods act upon. Well ahead of time, the EMS methodology evolved techniques for Knowledge Engineering that is indispensable to large scale corporate Knowledge Bases. Refer to the paper on Epistemebox by our founder, G. B. Prabhat, for more details.
Customer value
- Superior performance of business processes empowered by expert quality decision-making knowledge
- Measurable Returns on Investment (RoI) on investments in AI and Analytics
- Vast improvements in the consistency and comprehensiveness of decision-making
- Capitalization of “soft” knowledge assets in the form of tangible active knowledge bases
- Extension of knowledge assets into new businesses
Related Resources
TMNextGen Sourcing, Enterprise Management Systems and EMS are trademarks of Anantara Solutions Private Limited. Epistemebox is a trademark of G. B. Prabhat. All other trademarks are properties of their respective owners.
