How MCP Enables Multi-Agent AI Systems: The Foundation for Collaborative Intelligence
As enterprises look to scale AI, we are witnessing a transition from monolithic Large Language Models (LLMs) to a multi-agent AI ecosystem designed to work collaboratively. These ecosystems break the boundaries of siloed functions, allowing specialised agents to coordinate, share context, and solve complex tasks in real-time. Their ability to work together on a shared […]
How Model Context Protocol (MCP) Simplifies AI Agent Development?
As organizations race to deploy AI solutions, Model Context Protocol (MCP) has emerged as the universal connector, successfully eliminating integration complexity. One of the biggest challenges in scaling AI has been the need to build and maintain countless custom integrations, an approach that quickly becomes costly and unsustainable as use cases expand. MCP is designed […]
Scaling Agentic AI with MCP: Use Cases, Benefits, and Adoption
The Enterprise AI is at a point of inflection. IT leaders are now expected to move past pilots to full-scale implementations, delivering AI-powered capabilities in a secure, compliant manner that integrates seamlessly with existing IT systems. The demand to scale AI is soaring. Gartner predicts that global spending on generative AI will reach $644 billion […]
The Model Openness Framework: Why Open Source AI will Define the Next Decade for Enterprises
Artificial Intelligence is at the center of an enterprise revolution, where open-source tools are driving new initiatives and capabilities. From cutting costs to boosting efficiency, open source is fueling this expansion. The numbers paint this picture accurately; more than 58% of companies today use open-source tools in at least half of their AI and machine […]
Why Specialized, Small Language Models (SLMs) are Outperforming General-Purpose LLMs
SLMs perform better than LLMs when the domains are clear, the data is specific, and efficiency matters. The trend towards smaller, specialized models is not really about being “less powerful.” It’s about being “fit for purpose,” providing better accuracy, efficiency, privacy, and cost-effectiveness for enterprise AI needs. LLMs are crucial for open-ended reasoning and creative […]
Morgan Stanley’s Chief Analytics and Data Officer, Jeff McMillan, Shares the Keys to Successful AI Adoption
“We’ve effectively created [..] the most advanced intelligent assistant in financial services. It’s completely trained on Morgan Stanley’s information. ” – Jeff McMillan On a recent episode of Invisible Machines, OneReach.ai CEO and co-founder Robb Wilson, and Director of Creative Content Josh Tyson had a conversation with Jeff McMillan, Chief Analytics and Data Officer at […]
“I didn’t want AI leaving people behind, so I decided to do something about it” – Interview with OneReach.ai Founder
An interview with OneReach.ai founder, Robb Wilson, where he shares news of his upcoming book, Age of Invisible Machines.
OneReach.ai Featured in Raconteur’s AI for Business Report 2022
OneReach.ai founder, Robb Wilson, was featured in Raconteur’s AI for Business report in the Sunday Times.
Stakeholder Journey Maps: the Key to Using Big Data in AI Builds
Stakeholder journey maps can be really powerful tools when equipped with design thinking and data science.
OneReach.ai Receives Highest Scores from Gartner in Customer Service and Human Resources Use Cases
OneReach.ai Receives Highest Scores from Gartner in Customer Service and Human Resources Use Cases!