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Cognizant Leads AI Adoption with Neuro® Multi-Agent Suite

Cognizant

Cognizant has launched its innovative Neuro® AI Multi-Agent Accelerator and Multi-Agent Service Suite, groundbreaking solutions designed to accelerate the adoption and development of AI agents. These offerings empower businesses to transform key operations— from IT and finance to sales and marketing—by leveraging AI agents for adaptive processes, real-time decision-making, and personalized customer experiences.

As businesses face increasing market volatility, operational complexities, and fierce competition from AI-driven companies, traditional workflows and rigid automation models no longer meet customer expectations. The growing need for agility and cost-efficiency is driving the demand for agentic systems that bridge these gaps.

Fast-Tracking AI Adoption with Neuro® AI Multi-Agent Accelerator

The Neuro® AI Multi-Agent Accelerator is a no-code development framework designed to fast-track AI adoption. It includes a library of pre-built, reference agent networks, enabling businesses to rapidly prototype, customize, and scale multi-agent systems. These templates cover a wide range of enterprise functions, including Sales and Marketing, Finance, Investor Relations, and industry-specific processes like Supply Chain Management, Customer Service, and Insurance Underwriting.

By leveraging natural language descriptions, businesses can quickly create customized agent networks tailored to their unique needs. The platform also supports seamless integration of third-party agents, making it adaptable to various use cases and scenarios.

Transforming Business Processes with the Multi-Agent Services Suite

The Neuro® AI Multi-Agent Accelerator is a key component of the Multi-Agent Services Suite, a comprehensive set of services designed to drive business transformation. This suite enables businesses to design, deploy, and manage multi-agent systems using a standardized approach, ensuring efficient integration into their operations. With built-in security and compliance measures, businesses can meet regulatory requirements while modernizing their processes.

“We are entering a pivotal era for human-plus-machine collaboration. Enterprises persisting with stand-alone agents to duplicate human work will struggle to achieve value,” said Phil Fersht, CEO and Chief Analyst at HFS Research. “Rather, they must deploy genuine organizational intelligence where agents and their human counterparts bring contextual intelligence to enhance workflows, datasets, and processes to deliver outcomes.”

Also Read: Contextual AI Launches Platform for Specialized RAG Agents

“AI agents are transforming enterprise operations through task automation and reducing manual effort, enabling employees to focus on strategic activities,” added Babak Hodjat, CTO of AI at Cognizant. “However, without collaboration among specialized agents, software systems will remain disconnected from larger business goals. Neuro® AI Multi-Agent Accelerator and the Multi-Agent Service Suite allow clients to quickly build and deploy agents into the fabric of their organization, so that they work together across entire businesses to assist humans in a variety of roles, from finance and IT to marketing and sales.”

“The rise of autonomous agent networks in enterprise workflows underscores the urgent need for a structured framework enabling seamless interaction and coordination among agents,” explained Vishal Gupta, Partner, Data and AI at Everest Group. “Cognizant tackles this challenge head-on, with a multi-agent development framework that delivers a solution laser-focused on scalability and interoperability— pivotal concerns for enterprises seeking to integrate agents into their infrastructure effectively.”

The Power of Multi-Agent Systems

Unlike traditional single-agent solutions, multi-agent systems enable decentralized decision-making, where agents operate independently yet collaborate to solve complex, interrelated problems. These systems provide scalability across functions and geographies, allowing businesses to expand without overhauling their existing infrastructure. With built-in redundancy, multi-agent systems ensure continuity and resilience, even if individual agents encounter failures.

Key Features of Neuro® AI Multi-Agent Accelerator

  1. Accelerated Agentification Process: Leverage pre-built multi-agent networks that incorporate industry and functional best practices. Customize these networks to meet specific business needs, reducing implementation time and minimizing technical risks.
  2. Fast and Simple Customization: Create new multi-agent networks quickly using natural language descriptions, adapting them to a wide variety of business scenarios and use cases.
  3. Scalable, Distributed Operation with Smart Task Routing: Integrate multi-agent networks with existing systems and third-party agents via simple APIs. Automatically route tasks to the right agents, improving efficiency and minimizing errors.
  4. Flexibility in AI and Cloud Provider Choice: Easily switch between open-source and most commercial LLMs, as well as private/public cloud providers, without the need for system rebuilds. This flexibility helps avoid vendor lock-in and optimizes costs.

Cognizant’s multi-agent solutions are already driving business transformation for various industries. For example, an insurance company enhanced its investor relations and call analysis processes using a customized multi-agent system. Similarly, a healthcare provider leveraged a Contract Negotiator agent network to expedite medical appeal processing, improving overall efficiency.

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