TCS Connected Fleet IQ Fabric Framework – Agentic AI Fabric for Fleets

The Connected Fleet IQ Fabric Framework from TCS represents a next-generation transformation blueprint designed to unify, modernize, and monetize fleet ecosystems through the combined power of IoT, Edge Computing, Cloud, AI, Gen AI, and Agentic AI technologies on AWS. Global fleet operators, OEMs, and logistics providers face increasing pressure to improve uptime, sustainability, and profitability while navigating complex connected operations. This framework empowers organizations to overcome these challenges by building an intelligent digital foundation—enabling real-time visibility, predictive intelligence, and data-driven business innovation.

At the core of this transformation lies a unified fleet data fabric, a connected architecture that seamlessly integrates telemetry from vehicles, sensors, and edge devices into scalable cloud data platforms. Leveraging AWS IoT Core, AWS Greengrass, AWS IoT TwinMaker, AWS IoT FleetWise, Amazon SageMaker, and AWS Bedrock, the framework provides a resilient ecosystem for analytics, AI model deployment, and digital service orchestration.

The Connected Fleet IQ Fabric Framework integrates a comprehensive spectrum of components designed to maximize value through strategic adoption, including:

• Sensorization and Edge Intelligence: Real-time data capture and on-vehicle AI inferencing for diagnostics and performance optimization.
• IoT and Connectivity Layer: Secure device-to-cloud integration for vehicle telemetry, driver behavior, and environmental data streams.
• Fleet Data Fabric and Cloud Lakehouse: Unified data management enabling scalable analytics, data governance, and digital twin creation.
• AI, Gen AI, and Agentic AI Services: Multi-agent collaboration for predictive maintenance, autonomous diagnostics, and decision automation.
• Business Analytics and Monetization Layer: AI-driven insights powering new value models—usage-based services, predictive contracts, and digital offerings.

Together, these capabilities form a cohesive, AWS-native fabric that enables organizations to evolve from reactive fleet management to proactive, intelligent, and monetizable operations. The framework accelerates the realization of outcomes such as reduced downtime, optimized asset utilization, improved sustainability, and new digital revenue streams.

By leveraging TCS’s deep industry expertise and proven methodology, the Connected Fleet IQ Fabric Framework transforms connected fleets into intelligent ecosystems, enabling enterprises to unlock sustainable, data-driven growth and redefine the future of mobility.

TCS’s advisory-led approach accelerates this transformation

The result is a modernized, AI-powered fleet management ecosystem that delivers:

• Unified fleet data and connected insights
• Predictive and prescriptive intelligence
• Sustainable and cost-efficient operations
• New monetization opportunities through digital services

At the heart of this transformation lies an AI-infused orchestration fabric that unifies telemetry, operational data, and intelligent automation. By harnessing Gen AI for adaptive learning and collaborative AI agents for autonomous diagnostics and optimization, TCS’s framework creates a self-evolving fleet ecosystem capable of continuous improvement.

The result is a future-ready platform that empowers OEMs, logistics providers, and mobility operators to accelerate digital transformation, maximize asset performance, and generate new streams of business value, turning every connected fleet into a source of competitive advantage.

• Pre-work and readiness: Understand customer’s fleet ecosystem, data maturity, and business priorities.
• Discovery and Assessment: Assess IoT connectivity, data flows, AI readiness, and AWS integration landscape.
• Analysis: Identify data gaps, analytics KPIs, and fleet process inefficiencies for optimization.
• Recommendation & Report: Deliver actionable insights, architecture blueprint, and quantified business impact.
• Solution & Roadmap: Define AI-infused fleet platform architecture, AWS stack, and phased roadmap.
• Deliverables: Comprehensive report, implementation blueprint, data strategy, and ROI roadmap.