Cognizant’s new AI agents let you prototype without code

Cognizant enhances Neuro AI platform with multi-agent functionality: Cognizant has upgraded its Neuro AI platform, introduced last year, to include multi-agent capabilities, allowing organizations to ideate, prototype, and test generative AI applications without coding.

Platform evolution and client-driven enhancements: The Neuro AI platform has transformed from a service operated by Cognizant experts to a tool that enterprises can use independently and host in-house.

• Babak Hodjat, Cognizant’s CTO of AI, revealed that client demand drove the decision to make Neuro AI available for self-use by enterprises.
• The platform’s ability to generate ideas for applying generative AI in businesses has made it particularly attractive to clients.

Multi-agent functionality as a key differentiator: Cognizant’s use of multiple agents in Neuro AI sets it apart from other AI application platforms, aligning with the growing trend of enterprise AI agents.

• The platform utilizes four pre-configured agents: Opportunity Finder, Scoping Agent, Data Generator, and Model Orchestrator.
• These agents guide users through the process of ideating and developing AI applications, essentially acting as a virtual Cognizant consultant.

The Neuro AI workflow: The platform employs a four-step process to help users develop AI applications tailored to their needs.

• Users begin by describing the issues they want to solve.
• The Opportunity Finder deploys agents to search for industry-specific use cases.
• The Scoping Agent then evaluates the impact of potential use cases on specific categories and performance indicators.
• The Data Generation agent creates synthetic data related to the use case for application testing.
• Finally, the Model Orchestrator sets up the application.

Technical implementation and flexibility: Cognizant has designed Neuro AI to be versatile and adaptable to various client preferences.

• The platform uses LangChain as a framework for multi-agent orchestration, allowing it to remain language model (LLM) agnostic.
• This design choice enables Neuro AI to handle both open and closed models, catering to clients who prefer different AI models.

Cognizant’s broader AI initiatives: The enhancement of Neuro AI is part of Cognizant’s ongoing efforts to boost enterprise use of AI technology.

• In March, Cognizant opened an AI lab in San Francisco to further support enterprise adoption of AI.
• These initiatives position Cognizant as a key player in the growing field of AI application consulting and development.

Competitive landscape in AI application consulting: Cognizant’s move comes amidst increasing competition in the AI consulting and platform space.

• Other consulting firms like Accenture and McKinsey are also developing AI-focused products and services.
• Enterprise software providers such as Salesforce, SAP, and Oracle are offering platforms for easy creation of AI agents and applications.

Analyzing deeper: Cognizant’s strategic positioning: By enhancing Neuro AI with multi-agent functionality, Cognizant is carving out a niche in the AI platform market, potentially addressing a critical need for businesses still uncertain about how to fully leverage generative AI.

• The platform’s user-friendly approach to AI application development could appeal to organizations that lack in-house AI expertise.
• As the AI landscape continues to evolve rapidly, Cognizant’s strategy of combining consulting expertise with practical, self-service tools may prove to be a valuable differentiator in the competitive AI services market.