Cognizant is launching the Neuro AI Multi-Agent Accelerator and Multi-Agent Service Suite to help companies develop, deploy and scale AI agents faster for more efficient business processes.
Cognizant introduces the Neuro AI Multi-Agent Accelerator and the Multi-Agent Service Suite. These solutions help companies develop and deploy AI agents to optimize business processes and make them more efficient.
The Neuro AI Multi-Agent Accelerator is a no-code development framework that enables companies to build, customize and scale multi-agent systems. The framework includes pre-built networks of AI agents that support various business functions, such as sales, marketing, finance and customer service. In addition, companies can create new agent networks based on natural language descriptions and integrate external AI agents.
Overall suite
This accelerator is part of the broader Multi-Agent Service Suite. This is a suite of services that helps companies transform their processes. The suite provides support for deploying and managing AI agents in an efficient way, with a focus on security and compliance to meet regulations.
According to Cognizant, multi-agent systems are playing an increasing role in business processes. They can automate tasks and support human workers. AI agents can operate independently and collaborate within a company to solve complex problems with little or no human intervention.
Flexibility and scalability
With the Neuro AI Multi-Agent Accelerator, Cognizant aims to convince companies on four pillars:
- Accelerated deployment: Pre-built multi-agent networks accelerate adoption and reduce technical risks.
- Rapid customization: Companies can quickly set up new agent networks via natural language.
- Scalable operation: tasks are automatically distributed across multiple agents and servers, reducing error margins and increasing efficiency.
- Freedom of choice in AI and cloud providers: The system supports both open-source and commercial AI models and works with different cloud providers without vendor lock-in.
Cognizant has already implemented this multi-agent technology with clients. For example, an insurer improved its investor relations and call analysis using a multi-agent system. In healthcare, a contract negotiation agent was deployed to reduce medical appeal times. Both cases involve implementations in regulated industries, reinforcing the focus on compliance.
The Neuro AI Multi-Agent Accelerator and the Multi-Agent Service Suite are available immediately.