The engineering product sector is experiencing a significant shift as artificial intelligence evolves from merely automating tasks to managing the entire product lifecycle. Agentic AI is leading this transformation by fostering intelligent automation throughout design, manufacturing, operations, and maintenance. Infosys is strategically positioned to assist organizations in harnessing this shift by combining technical expertise with a commitment to safety, efficiency, and compliance.
The Evolution of AI in Engineering
The digital journey of engineering commenced with Knowledge-Based Engineering (KBE), which encapsulated subject matter expertise into structured rules and workflows to automate product development. However, KBE systems often struggled with real-world complexity.
With the integration of sensors, operational efficiency improved due to real-time data acquisition, while machine learning facilitated proactive maintenance and diagnostics by analyzing time-series data. Generative AI further advanced this technological landscape by addressing the challenge of interpreting vast volumes of unstructured data across reports, logs, and design documents, leading to better decision-making.
Agentic AI: A New Paradigm
As beneficial as prior technologies were, they often delivered value in isolation. To achieve a comprehensive efficiency throughout the product lifecycle, organizations required tightly integrated, flexible solutions. Agentic AI facilitates this integration, allowing specialized agents, systems, and human experts to collaborate seamlessly.
Four Pillars of Agentic AI
- Modularity: Processes are broken down into distinct components, with agents designated for specific tasks to enable precise optimization and adaptability.
- Interoperability: Agentic AI connects with essential enterprise systems—Product Lifecycle Management (PLM), Manufacturing Execution (MES), and Enterprise Resource Planning (ERP)—removing data silos and ensuring unified visibility.
- Human-in-the-Loop: While automation is driven by agents, human oversight remains essential at key decision points, particularly in safety-critical and regulated scenarios.
- Scalability: Organizations can gradually enhance Agentic AI solutions, beginning with pilot programs and extending to broader enterprise integration, yielding both immediate and long-term advantages.
These features promote continuous improvement, adaptable real-time responses, and measurable cost savings.
Case Study: Aircraft MRO Transformation
Aircraft Maintenance, Repair, and Overhaul (MRO) provides a clear example of how Agentic AI can effect change. Coordinating the operations of over 25,000 aircraft involves numerous stakeholders, managing hundreds of documents while minimizing costs associated with aircraft-on-ground (AOG) time.
The Challenge
Damage could arise in hard-to-reach components, with incoming reports varying in format, including handwritten notes and low-resolution images. This variability makes it difficult to reference against changing regulatory guidelines, often leading to delays and errors.
Agentic AI Solution
A multi-agent architecture revolutionizes the MRO process:
- Central Orchestrator: Manages end-to-end maintenance activities, allocating resources and setting timelines.
- Specialized Agents:
- Damage Detection Agent: Evaluates images and data for damage assessment.
- Document Intelligence Agent: Gathers relevant manuals and regulatory updates.
- Damage Severity Evaluator: Determines urgency and necessary repairs.
- MRO Repair Agent: Plans actions and coordinates with suppliers and OEMs.
- Compliance and Supplier Agents: Ensure that processes and sourcing are correct.
Human oversight is embedded at critical decision junctures to maintain both safety and regulatory compliance.
Benefits
Infosys forecasts that Agentic AI can cut engineering efforts by 60-70%, significantly reducing AOG durations. Immediate benefits include:
- Complete automation of inspection, planning, and compliance processes
- Real-time collaboration among stakeholders
- Clear, auditable decision-making for safety-critical tasks
MRO teams gain from streamlined operations, quicker problem-solving, and better alignment with regulatory standards.
Broader Implications and Responsible AI
The advancements provided by Agentic AI extend beyond aviation into various engineering, manufacturing, and operational sectors. By dismantling barriers related to infrastructure, data silos, and manual workflows, these intelligent systems promote new levels of efficiency and flexibility.
Moreover, Agentic AI enhances, rather than replaces, human expertise. Engineers can devote their time to high-value creative tasks while AI manages data analysis and compliance monitoring. Continuous learning and responsible human oversight are vital for ensuring ethical outcomes aligned with both organizational and societal values.
At Infosys, we prioritize responsible implementation, emphasizing transparent, explainable, and auditable AI systems that comply with global standards.
Conclusion: Engineering’s Next Chapter
Agentic AI is fundamentally reshaping how engineering organizations design, construct, and maintain their products. As sectors begin to adopt this paradigm, they not only unlock technical efficiencies but also achieve strategic advantages.
Infosys is prepared to support this journey, bringing the right vision, expertise, and global execution capabilities to assist enterprises in navigating this transition. The future of engineering is intelligent, integrated, and within reach—it’s time to embrace it together.
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