The world of AI is always awash with something new. This time, it’s MCP and the impact it has on AI integrations. While we can’t brush everything aside as a passing fad, a lot of these trends end up becoming precisely that. In this edition of Konversation, the highlight is our new whitepaper on MCP. Only time will tell whether MCP is here to stay or not, but we recommend you don’t miss out on this whitepaper. Like every edition, we also have Market Insights and our Work Highlights section.
Top 3 Market Insights
- Tariffs, Manufacturing, and AI Innovation: Amid the back and forth on US import tariffs, some manufacturers have paused new factory investments, while others plan on more production happening locally. We are working with leaders on proven use cases like AI in quality inspection and predictive maintenance to boost productivity.
- $1M+ Annual Savings for Mid-Sized Hospitals: Hospitals are starting AI adoption with simpler AI use cases. This year, we have partnered with healthcare providers to deliver use cases like appointment scheduling, doctor-patient conversation analysis, prescription generation & inventory optimization. These have saved over $1 million and, more importantly, freed clinical teams to focus on patient care.
- Trust Infrastructure for Agentic AI: More enterprises are seeking consultation on building autonomous systems with full decision traceability. As AI agents gain more autonomy, liability extends to operations, IT, and legal. It’s critical to design monitoring frameworks that show exactly why an AI agent acted and supporting data.
Konverge.AI – Under the Hood
Our Work Highlights:
- Model Context Protocol (MCP) Fad or Foundation: Executives are talking about MCP. Though it has potential, it’s still not mature enough, and enterprises need to be extra cautious. To get more experience in MCP, we are working on a pilot, carefully controlling how it manages data, servers, and, most vitally, security. Check our latest whitepaper to know more about MCP.
- Our Latest Project in the Construction Sector: We are helping the IT team of a top 50 US construction firm to streamline knowledge sharing by unifying project data into a secure GenAI assistant that delivers up to 70% faster document search. Want to know more? Reach out to talk to an expert.
- Databricks in SAP Business Data Cloud: Enterprises using SAP are turning to Databricks for unified AI data. We are talking to a few manufacturers on SAP platform. We feel SAP-to-Databricks streaming with robust security and governance can cut ETL work by up to 90% and speed up AI model deployment.
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