As businesses grapple with the rapid pace of change in the modern landscape, the need for adaptable, intelligent systems has never been more urgent. Cognizant’s introduction of the Neuro AI Multi-Agent Accelerator and Multi-Agent Service Suite this week, represents a significant leap forward in enterprise solutions.
These innovative offerings are designed to fast-track the adoption of multi-agent systems, enabling organizations to streamline their business processes, enhance operational efficiency, and deliver personalized customer experiences.
The Neuro AI Multi-Agent Accelerator sports a no-code development framework, which allows organizations to quickly prototype, customize and scale multi-agent systems without requiring extensive technical expertise. By leveraging pre-built, reference agent networks, businesses can effectively address business functions such as sales and marketing, finance and customer service. This capability allows organizations to respond swiftly to market changes and customer demands.
Redesigning workflows
The Multi-Agent Service Suite provides a structured approach to create and deploy these systems, allowing organizations to redesign their workflows and enhance collaboration between human and machine counterparts.
“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.”
The Multi-Agent Service Suite’s focus on decentralized decision-making allows agents to operate independently while still collaborating on interdependent tasks. This is particularly beneficial in industries such as healthcare and finance, where autonomous agent networks can enhance service delivery and operational resilience. By allowing for smart task routing and efficient workload distribution, businesses can ensure continuity, even in the face of individual agent failures.
“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.”
Meanwhile, Neuro AI Multi-Agent Accelerator addresses the pressing need for security and compliance, easing the burden of regulatory requirements and allowing CIOs in regulated industries to press faster and further into agentic AI for improved decision making.
“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 for enterprises seeking to integrate agents into their infrastructure effectively.”
What this means for ERP Insiders
AI tools allow for enhanced adaptability. The Neuro AI Multi-Agent Accelerator allows ERP end users to rapidly adapt their systems to changing business conditions. This flexibility is crucial in a dynamic market where organizations must respond quickly to customer demands and operational challenges, improving competitiveness and efficiency. SAPinsider research shows that while AI strategies are still evolving, which could be driven by rapid advancements in AI technology, changing market dynamics, or the need to stay competitive, a spectrum of maturity and readiness can be seen across organizations.
Agentic AI can better streamline key processes. By leveraging pre-built multi-agent networks, ERP users can streamline complex business processes. These templates reduce development time, enabling businesses to implement solutions that enhance productivity across various functions such as finance, sales, and customer service.
The integration of AI agents facilitates real-time decision-making within ERP systems. AI is revolutionizing businesses by unlocking valuable insights, enhancing decision-making processes, and automating manual tasks, SAPinsider research indicates. This capability allows organizations to analyze data and derive insights more efficiently, leading to better-informed strategies and outcomes that align with overall business goals.
Interoperability between multi-agent AI systems and ERP is crucial. The Multi-Agent Service Suite emphasizes interoperability, allowing ERP systems to integrate new AI agents with existing legacy systems. This feature ensures that organizations can enhance their current infrastructure without significant disruption, promoting a cohesive and efficient operational environment.
