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On Thu, 16 Jan, 8:03 AM UTC
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[1]
Cognizant Ties AI Agents From Multiple Apps For Scale, Autonomous Operations
'It's just so obvious that these AI agents need to be connected. There are disparate but related tasks you need to do, and now these agents can actually collaborate and make them happen, which means that a lot of the silos that exist in our human-only-driven organizations can be broken now that we have agents that can semi-autonomously coordinate and work on your behalf,' says Babak Hodjat, Cognizant's CTO of AI. Cognizant Thursday introduced its new Neuro AI Multi-Agent Accelerator, a no-code developer framework to rapidly tie AI agents from multiple disparate applications to increase productivity and scale in multi-agent systems. Agents are all the rage, but clients want to connect them and make them interoperable at scale, said Babak Hodjat, CTO of AI for the Teaneck, N.J.-based solution provider. "Salesforce has Agentforce, ServiceNow has its agent, SAP and everybody else is coming with their agents," Hodjat (pictured) told CRN. "Agents are basically large language models equipped with some tools. And if Salesforce is giving you an agent, they're equipping it with Salesforce-related data and tools and so forth, and it's really good at that. And if ServiceNow is doing that, it's good at what ServiceNow does." [Related: Cognizant CEO On 'Becoming The First Partner' In ServiceNow's 'Ground-Breaking Workflow Data Fabric'] The tools those companies let businesses customize their AI agents for their instances of Salesforce or ServiceNow or SAP, leading to an ever-growing collection of agents, Hodjat said. "Some of them are [homegrown] or built inside the client for their own specific usage, as was the case for us," he said. "In our case, we were identifying our intranet for our own employees to use, and adding agents, and we started thinking, 'Oh, we need to have the HR agent and the finance agent and the other agents that we have?' It doesn't make sense for employees to decide which agent to talk to. These agents need to be talking to each other." Cognizant eventually ended up with Agentforce for its Salesforce implementation, and ServiceNow agents for its ticketing system, with employees required to talk to multiple agents and repeating themselves, Hodjat said. "It's just so obvious that these AI agents need to be connected," he said. "There are disparate but related tasks you need to do, and now these agents can actually collaborate and make them happen, which means that a lot of the silos that exist in our human-only-driven organizations can be broken now that we have agents that can semi-autonomously coordinate and work on your behalf." Services companies like Cognizant are tasked to help customers build specific multi-agent systems to augment their human driven processes or their applications, Hodjat said. "That's what we do," he said. "And in the process of doing that, we realized that off-the-shelf tools for doing this sort of thing are just not there. They're not scalable, and so we had to write our own tooling. So that's why we're calling this an accelerator. We're not a product company. We're not out there trying to license IP, but we're seeing a barrage of requirements from our clients and need to meet it in a scalable way. Our accelerator allows these agents to coordinate with one another, using natural language primarily, but also passing along secrets, by which I mean authorization, like this user can get access to this thing, or cannot get access to this thing." Cognizant's Neuro AI Multi-Agent Accelerator brings new agents into a multi-agent system without having to re-engineer the existing multi agent system, Hodjat said. "That's one of the key differentiators of the approach," he said. "We allow for various different departments in an organization to own various different parts of this multiagent system, which totally makes sense, because if you're in finance, you don't want someone else to come in and redo your processes and so forth just so you can plug in HR to let HR and finance talk to each other. These have to be what we call 'encapsulated' and semi-independent. But plugging in a new agent should just expand what you can do. And this is some of what this technology allows." Businesses could manage multiple agents on their own, but for now are still focused on single agents or agents that are related to a single set of tasks, Hodjat said. "We've been on the forefront of this, and so we've seen the need for interoperability, and so we had to build this," he said. "We just had to do it because nobody else had done it. The other thing is that that inter-agent communication and coordination that is needed to make this scalable is tricky. It's not as simple. I'm not saying it's rocket science, but it's kind of tricky." Cognizant Thursday also unveiled its Multi-Agent Services Suite to help businesses create and deploy multi-agent systems using a standardized, proven approach. Cognizant's services help organizations to redesign their business processes, develop and deploy intelligent agent systems, and efficiently manage them in production. Cognizant knows how to build agent networks, Hodjat said. "You need to understand your process flows, where an agent makes sense and where it doesn't make sense, and how to connect them," he said. "Also, how do you make them responsible? Responsibility is important because an agent has some level of autonomy. That just goes with the territory. You defer to it to make certain decisions by itself. So it has to be responsible." For these sorts of things, Cognizant has a set process and steps, Hodjat said. "Trained Cognizant associates come in and help build this for you, and they will use the Accelerator along with the tools of your choice as well," he said. "We're announcing the two at the same time because we believe they go together."
[2]
Cognizant Leads Enterprises into Next Generation of AI Adoption with Neuro® AI Multi-Agent Accelerator and Multi-Agent Services Suite
New development framework and services fast track multi-agent adoption by enabling interoperability and scalability to transform business processes TEANECK, N.J., Jan. 16, 2025 /PRNewswire/ -- Cognizant (NASDAQ:CTSH) has announced its Neuro® AI Multi-Agent Accelerator and Multi-Agent Service Suite. These new offerings accelerate the development and adoption of AI agents, helping empower businesses to transform their business processes using AI agents for adaptive operations, real-time decision-making, and personalized customer experiences - to support all facets of business, from IT and finance to sales and marketing. Businesses are dealing with market volatility, operational complexity, and competition from AI-native companies. Traditional workflows and fixed automation no longer meet most customer expectations because of escalating costs and demand for real-time adaptability, and agentic systems are helping bridge the gap. Designed to expedite agentic AI adoption, Neuro® AI Multi-Agent Accelerator is a no-code development framework which includes a collection of pre-built, reference agent networks that enable businesses to rapidly prototype, customize and scale multi-agent systems. Pre-built multi-agent network templates provide a starting point for clients to address a range of enterprise functions such as Sales and Marketing, Finance, and Investor Relations, as well as industry-specific processes including Supply Chain Management, Customer Service, and Insurance Underwriting. Additional agent networks can be rapidly created using natural language descriptions to fit different scenarios and client use cases and expanded to include third-party agents. Neuro AI® Multi-Agent Accelerator is part of the Multi-Agent Services Suite, a broader suite of services that are designed to accelerate the transformation of business processes. This suite of services helps businesses seamlessly create and deploy multi-agent systems using a standardized, proven approach. These services help organizations redesign their business processes, develop and deploy intelligent agent systems, and efficiently manage them in production. In addition, enhanced security and compliance mean that clients can meet regulatory and legal requirements more easily. "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, 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." "AI agents are transforming enterprise operations through task automation and reducing manual effort, enabling employees to focus on strategic activities," said 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 lots 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," said Vishal Gupta, Partner, Data and AI, 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." Multi-agent systems go beyond single agents by enabling decentralized decision-making, where agents act independently yet collaboratively to solve complex, interdependent problems. They are designed to provide scalability across functions and geographies, allow expansion without overhauling systems, and offer resilience through redundancy, ensuring continuity even if individual agents fail. Neuro AI® Multi-Agent Accelerator offers: Cognizant is already helping clients transform their businesses with multi-agent solutions. For instance, an insurance company improved investor relations and call analysis by implementing a multi-agent system designed by Cognizant, while a healthcare company created a Contract Negotiator agent network that sped up medical appeal processing times. Cognizant's Neuro AI® Multi-Agent Accelerator and Multi Agent Services Suite are available today. For more information about Cognizant's new Neuro AI® Multi-Agent Accelerator and Multi-Agents Services Suite, click here. About Cognizant Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant
[3]
Cognizant Leads Enterprises into Next Generation of AI Adoption with Neuro ® AI Multi-Agent Accelerator and Multi-Agent Services Suite By Investing.com
New development framework and services fast track multi-agent adoption by enabling interoperability and scalability to transform business processes , /PRNewswire/ -- Cognizant (NASDAQ:CTSH) has announced its Neuro ® AI Multi-Agent Accelerator and Multi-Agent Service Suite. These new offerings accelerate the development and adoption of AI agents, helping empower businesses to transform their business processes using AI agents for adaptive operations, real-time decision-making, and personalized customer experiences - to support all facets of business, from IT and finance to sales and marketing. Businesses are dealing with market volatility, operational complexity, and competition from AI-native companies. Traditional workflows and fixed automation no longer meet most customer expectations because of escalating costs and demand for real-time adaptability, and agentic systems are helping bridge the gap. Designed to expedite agentic AI adoption, Neuro ® AI Multi-Agent Accelerator is a no-code development framework which includes a collection of pre-built, reference agent networks that enable businesses to rapidly prototype, customize and scale multi-agent systems. Pre-built multi-agent network templates provide a starting point for clients to address a range of enterprise functions such as Sales and Marketing, Finance, and Investor Relations, as well as industry-specific processes including Supply Chain Management, Customer Service, and Insurance Underwriting. Additional agent networks can be rapidly created using natural language descriptions to fit different scenarios and client use cases and expanded to include third-party agents. Neuro AI ® Multi-Agent Accelerator is part of the Multi-Agent Services Suite, a broader suite of services that are designed to accelerate the transformation of business processes. This suite of services helps businesses seamlessly create and deploy multi-agent systems using a standardized, proven approach. These services help organizations redesign their business processes, develop and deploy intelligent agent systems, and efficiently manage them in production. In addition, enhanced security and compliance mean that clients can meet regulatory and legal requirements more easily. "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 , CEO and Chief Analyst, 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." "AI agents are transforming enterprise operations through task automation and reducing manual effort, enabling employees to focus on strategic activities," said , 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 lots 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," said , Partner, Data and AI, 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." Multi-agent systems go beyond single agents by enabling decentralized decision-making, where agents act independently yet collaboratively to solve complex, interdependent problems. They are designed to provide scalability across functions and geographies, allow expansion without overhauling systems, and offer resilience through redundancy, ensuring continuity even if individual agents fail. Neuro AI ® Multi-Agent Accelerator offers: Cognizant is already helping clients transform their businesses with multi-agent solutions. For instance, an insurance company improved investor relations and call analysis by implementing a multi-agent system designed by Cognizant, while a healthcare company created a Contract Negotiator agent network that sped up medical appeal processing times. Cognizant's Neuro AI ® Multi-Agent Accelerator and Multi Agent Services Suite are available today. For more information about Cognizant's new Neuro AI ® Multi-Agent Accelerator and Multi-Agents Services Suite, click here. About Cognizant Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant
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Cognizant introduces a new no-code development framework and services suite to accelerate the adoption of multi-agent AI systems in enterprises, aiming to transform business processes and enhance collaboration between AI agents.
Cognizant, a leading technology solutions provider, has unveiled its new Neuro AI Multi-Agent Accelerator and Multi-Agent Service Suite, designed to revolutionize enterprise AI adoption 1. These innovative offerings aim to accelerate the development and implementation of AI agents, empowering businesses to transform their processes using advanced AI technologies 2.
As businesses grapple with market volatility, operational complexity, and competition from AI-native companies, traditional workflows and fixed automation are falling short of meeting customer expectations. The demand for real-time adaptability and cost-effective solutions has paved the way for agentic systems to bridge this gap 2.
Babak Hodjat, CTO of AI at Cognizant, emphasizes the importance of connecting AI agents:
"It's just so obvious that these AI agents need to be connected. There are disparate but related tasks you need to do, and now these agents can actually collaborate and make them happen, which means that a lot of the silos that exist in our human-only-driven organizations can be broken now that we have agents that can semi-autonomously coordinate and work on your behalf." 1
The Neuro AI Multi-Agent Accelerator is a no-code development framework that includes:
Complementing the Accelerator, the Multi-Agent Services Suite offers a standardized approach to creating and deploying multi-agent systems. It assists organizations in:
Multi-agent systems offer several benefits over single agents:
Cognizant is already implementing multi-agent solutions for clients across various industries:
Phil Fersht, CEO and Chief Analyst at HFS Research, comments on the significance of this development:
"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. 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." 2
As enterprises seek to integrate AI agents effectively into their infrastructure, Cognizant's multi-agent development framework addresses the critical concerns of scalability and interoperability. This innovative approach promises to transform business processes and enhance collaboration between AI agents and human workers across various roles and departments 3.
Reference
[2]
Cognizant has upgraded its Neuro AI platform with multi-agent capabilities, enabling businesses to rapidly discover, prototype, and develop AI use cases. The enhanced platform aims to simplify AI adoption for enterprises and improve decision-making processes.
3 Sources
3 Sources
Cognizant announces significant upgrades to its Neuro AI platform, introducing multi-agent orchestration to help businesses rapidly develop and implement AI use cases for improved decision-making and revenue generation.
2 Sources
2 Sources
Cognizant Technology Solutions has announced a collaboration with NVIDIA to enhance AI capabilities across industries using their Neuro AI platform, focusing on enterprise AI agents, industry-specific large language models, and AI infrastructure.
2 Sources
2 Sources
ServiceNow introduces an AI Agent Orchestrator and thousands of pre-built AI agents, marking a significant advancement in enterprise automation and productivity.
2 Sources
2 Sources
AI agents are gaining widespread adoption across industries, but their definition and implementation face challenges. Companies are rapidly deploying AI agents while grappling with issues of autonomy, integration, and enterprise readiness.
5 Sources
5 Sources
