Client
The client is a global leader in technology and manufacturing, with operations spanning aerospace, building technologies, performance materials, and industrial safety. Generating over US$ 36 billion in annual revenue, the company plays a pivotal role in the aerospace and aviation sector, delivering mission-critical systems and services to both commercial and defense customers worldwide.
Market Trends in the Aerospace Industry
The aerospace and industrial sectors are under immense pressure as regulatory demands rise, competition intensifies, and customer expectations grow more complex. Speed, accuracy, and responsiveness are no longer optional—they’re essential for staying competitive. Yet, many organizations still rely on manual, siloed processes for handling customer interactions, managing compliance, and making critical business decisions. This slows down operations and leaves room for errors, missed opportunities, and compliance risks.
To stay ahead, companies need to harness AI-driven automation and intelligent workflows to simplify complex tasks, boost efficiency, and empower teams to focus on strategic, high-value work. This urgency set the stage for the client’s transformation journey.
Business Challenges
The client’s diverse business units, spanning aerospace, industrial solutions, building automation, and safety systems, were constrained by highly manual, disconnected processes. These inefficiencies slowed decision-making, impacted customer experience, and introduced compliance risks.
Key challenges included:
- Delayed Customer Responses: Manual email handling and order data retrieval from SAP often led to slow response times, misclassified intents, and inaccurate replies.
- Inefficient Contract Management: Extracting key clauses like payment terms and delivery schedules manually hampered compliance workflows and delayed revenue recognition within the Quote-to-Cash cycle.
- Slow Request for Quotation (RFQ) Turnaround: Manually generating compliance tables and compiling vendor RFQs drained resources and caused delays.
- Fragmented Insights: Sales teams spent excessive time gathering insights from reports and filings, leading to inconsistent, delayed decision-making.
- Limited Productivity: Customer service teams were burdened with repetitive tasks and navigating multiple systems, reducing focus on high-value activities.
Key objectives
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Establish centralized governance and monitoring for the entire agent lifecycle and cost tracking
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Enable dynamic orchestration of agents across real-time and static data sources
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Integrate seamlessly with internal systems and support open-source frameworks
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Implement robust AI testing and evaluation mechanisms
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Reduce time-to-market through reusable components and streamlined deployment
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Ensure secure access and global compliance through role-based access control (RBAC)
LTIMindtree Solution
LTIMindtree partnered with the client to deploy a suite of scalable, AI-driven solutions across key business units, including Process Solutions, Aerospace, Building Automation, Industrial Automation, Safety and Productivity Solutions, and Energy and Sustainability Solutions. These initiatives focused on streamlining operations, improving compliance, and enhancing customer engagement.
Business Benefits
The AI-powered solutions delivered measurable improvements across service efficiency, revenue growth, and operational agility. By addressing manual processes and fragmented workflows, the client achieved significant gains in speed, accuracy, and scalability.
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Enhanced Email Processing and Service Efficiency
Enabled the processing of approximately 8,000 customer emails each day. This saved around 1,500 manual hours daily and significantly improved response times and overall service quality.
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Faster, Accurate Contract Data Handling
Automated extraction of key contract data with nearly 80% accuracy. This improved compliance workflows and unlocked annual productivity gains valued at US$ 264,000.
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Accelerated Proposal Turnaround
Improved proposal throughput and reduced RFQ response times through the AI-powered compliance tool. This contributed to a projected US$ 2.5 million gross margin impact in FY 2024–25.
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Boosted pipeline growth and sales focus
Supported a 1% increase in sales pipeline, unlocking a US$ 40 million opportunity. This also saved 4,800 seller hours, allowing teams to focus on strategic deals and higher-value opportunities.
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Smarter pricing decisions
Delivered real-time competitive insights through AI-driven benchmarking. This strengthened pricing strategies and drove a $1 million margin benefit, equivalent to a 0.5% gain on US$ 200 million in revenue.
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Streamlined vendor management
Reduced manual effort in vendor RFQ generation by 60%, enabling estimators to focus on negotiations and strategic planning instead of repetitive tasks.
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Improved case handling and customer experience
Reduced case handling time by 40 to 60% through streamlined workflows. This accelerated service delivery while improving customer satisfaction.
Conclusion
This transformation shows how AI-driven modernization can streamline aerospace and industrial operations. By integrating AI with core systems like Salesforce, SAP, and Snowflake, the client eliminated bottlenecks and simplified complex workflows.
The impact was clear, faster compliance, accelerated sales cycles, and improved customer service, leading to greater productivity and sharper market responsiveness. In aerospace, this meant quicker turnaround times, smarter forecasting, and enhanced agility to meet customer and regulatory demands.
With scalable AI frameworks now in place, the client is well-positioned to drive continuous innovation and sustainable growth across its Strategic Business Units.
This approach ensures the client remains at the forefront of aerospace excellence, delivering smarter, safer, and more efficient solutions worldwide.
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