Cognizant
Positioning
AI Builders Bridging the Gap from AI to Impact—engineering technology into business to help companies anticipate and act as if on intuition.
Problems Cognizant solves
Critical
Legacy systems create technical debt, limit scalability, and prevent enterprises from competing in AI-driven markets—blocking new revenue streams and forcing capital allocation to maintenance rather than innovation.
Enterprises lack visibility and control over AI systems at scale—creating regulatory, operational and reputational risk as models and agents evolve and interact in real time without centralized governance.
Regulated enterprises struggle to balance AI adoption with compliance mandates—lacking frameworks to govern autonomous systems, maintain audit trails, and enforce policies as regulations evolve.
Large system migrations and ERP transformations carry extreme execution risk—long timelines, high costs, and potential for major incidents that disrupt operations and manufacturing.
High
Manual, siloed business processes create operational bottlenecks, slow customer fulfillment, and waste labor on repetitive work—preventing organizations from responding to market opportunities at speed.
Fragmented physical operations, sensor data and AI systems prevent enterprises from achieving unified visibility and coordinated decision-making—leaving critical insights locked in isolated systems.
Value pillars
Accelerated Business Transformation at Scale
Cognizant delivers large, complex transformations in compressed timeframes using automation, generative AI, and proven methodologies—enabling enterprises to modernize, migrate and launch new capabilities faster than competitors.
Enterprise-Grade AI Governance & Trust
Cognizant's Neuro AI Trust platform and responsible AI framework enable enterprises to scale AI and agentic systems with real-time visibility, policy enforcement, and audit-ready governance—reducing regulatory, operational and reputational risk.
Unlocking Context from Legacy Systems
Cognizant's AI modernization approach extracts business logic, data and context trapped in legacy mainframes and outdated systems—converting them into AI-native foundations that enable faster innovation and competitive advantage.
Measurable Operational Impact & ROI
Cognizant's outcome-driven approach delivers quantified business results—cost savings, revenue uplift, labor redeployment, and efficiency gains—with economics validated upfront and tracked throughout delivery.
Offerings
Agentic AI Enterprise Solutions
Context-engineered, production-grade agentic AI systems designed to deliver measurable business outcomes at scale, including multi-agent networks, prototyping tools, and cost-of-ownership analysis.
AI Modernization Services
Legacy system modernization that unlocks enterprise context trapped in legacy systems, turning general-purpose AI into business-specific competitive advantage using tools like Cognizant Flowsource and Cognizant Skygrade.
Neuro AI Trust Platform
Centralized governance and real-time assurance platform for enterprise AI with continuous monitoring, policy enforcement, audit trails, and guardian agents to govern models, agents and applications at scale.
Physical AI Systems
Full-stack physical AI systems that sense, decide and act in real-world environments with unified intelligence fabric, operational context, and enterprise-grade governance across sensors, vision, SCADA and edge systems.
TriZetto Platform (Enrollment Administration Manager & Facets)
Modern core platform for healthcare and insurance membership administration, enrollment processing, and regulatory compliance with configuration flexibility and data integration.
Process Automation & Automation-as-a-Service (AaaS)
Project-oriented delivery framework for designing, delivering and managing automation solutions at scale, including RPA and generative AI-powered process transformation.
Digital Transformation Services
End-to-end consulting and implementation for business process transformation, ERP modernization, cloud migration, and operational redesign across enterprise systems.
Data and AI Services
Data strategy, AI implementation, analytics, and responsible AI frameworks to enable data-driven decision-making and AI adoption across the enterprise.
Ideal customer
Large enterprises modernizing legacy core systems
- Reducing technical debt and unlocking trapped enterprise context
- Accelerating time-to-market for new products and capabilities
- Minimizing disruption during system migrations and cutover
- Achieving cost savings that offset transformation investment
Regulated financial services and insurance organizations
- Ensuring regulatory compliance and audit readiness
- Maintaining data integration and transparency for compliance mandates
- Scaling operations while managing risk and governance
- Improving member and customer experience at scale
Enterprises scaling AI and automation at production
- Governing AI systems in real-time across models and agents
- Ensuring responsible AI and ethical decision-making
- Achieving measurable business outcomes from AI investment
- Managing operational and reputational risk at scale
Operations-heavy organizations seeking efficiency gains
- Automating manual processes and reducing labor costs
- Accelerating customer request processing and fulfillment
- Improving operational visibility and real-time decision-making
- Freeing talent to focus on higher-value strategic work
Decision makers
Chief Operating Officer (COO) · Decision maker
Deploying AI at scale while managing volatility; increasing AI absorption capacity; reshaping operations for efficiency and agility.
Chief Information Officer (CIO) · Decision maker
Modernizing legacy systems; reducing technical debt and IT spend; ensuring security and compliance; enabling faster innovation.
Chief Technology Officer (CTO) · Decision maker
Building AI-native foundations; establishing responsible AI governance; scaling agentic systems; managing technical risk.
VP of Operations · Decision maker
Automating manual processes; accelerating fulfillment cycles; improving operational visibility; reducing labor costs.
VP of Digital Transformation · Decision maker
Delivering large-scale transformations on time and on budget; modernizing core systems; enabling new business models.
Head of Compliance & Risk · Blocker
Ensuring AI governance and regulatory compliance; maintaining audit readiness; managing reputational risk.
VP of Business Process Improvement · Influencer
Identifying automation opportunities; measuring process efficiency gains; redeploying talent to strategic work.
Head of AI/Data Science · Influencer
Scaling AI systems responsibly; governing models and agents; ensuring ethical AI; achieving measurable business outcomes.
Industries Cognizant serves
Banking & Financial Services, Insurance, Healthcare, Retail & E-commerce, Manufacturing, Media & Entertainment, Utilities & Energy, Life Sciences & Pharmaceuticals, Transportation & Logistics
Proof points
Customer outcome
Blue Cross NC Modernizes Medicare Operations with TriZetto Platform
Blue Cross NC migrated senior market administration to Cognizant TriZetto Enrollment Administration Manager and Facets, consolidating onto a single ecosystem. The migration streamlined enrollment process, improved visibility and tracking throughout the enrollment lifecycle, and enabled the plan to explore new lines of business.
Blue Cross and Blue Shield of North Carolina
67% of Medicare plan applications processed without manual intervention during 2023 Annual Enrollment Period; improved business agility and regulatory compliance
Source: https://www.cognizant.com/us/en/case-studies/adopting-modern-core-platform-drives-medicare-plan-growth
Customer outcome
Storebrand Bank Delivers Same-Day Credit Card Approvals with Automation-as-a-Service
Cognizant established an Automation-as-a-Service (AaaS) delivery framework with a dedicated team of specialists. Storebrand Bank now turns around credit card applications within the same day, fulfilling its vision of delivering instant value to customers.
Storebrand Bank
Credit card applications processed within the same day; 18 months to deliver automations; hours saved in first 18 months
Source: https://www.cognizant.com/us/en/case-studies/storebrand-bank-embraces-automation-to-deliver-instant-customer-value
Customer outcome
Mead Johnson Nutrition Completes Global ERP Transformation in 11 Months with 61-Hour Cutover
Cognizant helped Mead Johnson migrate from SAP Suite on HANA to SAP S/4HANA on RISE using automation and generative AI. The project was completed in record time with a single weekend cutover, no disruption to manufacturing, and cost savings that paid for the project.
Mead Johnson Nutrition
11 months to deliver global ERP transformation; 61-hour cutover window; 4,500 users onboarded; zero major incidents
Source: https://www.cognizant.com/us/en/case-studies/mead-johnson-nutrition-achieves-global-erp-transformation-in-11-months
Customer outcome
Streaming Provider Achieves $24M Revenue Increase and $23M Fraud Recovery Through Modernization
Cognizant led a three-phase transformation building a modern engineering foundation on Cognizant Flowsource and Cognizant Neuro IT Operations. The foundation delivered fraud controls, new genre packs and enhanced agent experience.
One of North America's largest streaming providers
$24M increase in annual revenue; $23M in fraud losses recovered; 35% reduction in total IT spend; 76% faster delivery of digital features
Source: https://www.cognizant.com/in/en/services/ai/ai-modernization
Customer outcome
Leading Retailer Achieves 5x Order Processing Capacity and $8M Sales Uplift
Cognizant re-engineered the retailer's COBOL mainframe order management solution with Cognizant Skygrade, migrating to Google Cloud and unlocking scale for peak demand.
A leading retailer targeting $10 billion in annual digital sales
5x increase in order processing capacity; 40% faster time to market for new capabilities; 30% improvement in supply chain productivity; $8M in sales uplift from AI-powered contextual search
Source: https://www.cognizant.com/in/en/services/ai/ai-modernization