Client
Industrial equipment manufacturer
Industry
Energy/Industrial manufacturing
Primary goal
Engineering cycle acceleration and design optimization
Make turbine engineering more intelligent
Turbine design is a highly complex and time-intensive process involving thousands of engineering parameters and deliverables. Despite having extensive historical design data from more than 1,500 turbines, organizations can often struggle to leverage this data effectively for faster decision-making.
KPMG in India developed an AI-powered turbine design recommendation program which can help automate engineering workflows, accelerate design cycles, and improve efficiency outcomes.
Client transformation journey
- Before
- During
- After
The challenges of traditional turbine engineering
Turbine engineering involves multiple interconnected systems, from steam paths to generators and auxiliary components, creating significant operational complexity.
Each new order triggered a fresh engineering cycle, limiting productivity and increasing time to market. Manual design processes and document creation led to long turnaround times, particularly when responding to RFPs.
KPMG in India introduced AI-led optimization to help automate turbine design and engineering workflows.
Transforming design and engineering workflows through AI
The technology solution leveraged a swarm intelligence-based algorithm, inspired by bee foraging behavior, to explore the design space more efficiently while ensuring thermal feasibility and optimal performance. This AI-driven approach enabled the evaluation of trillions of design possibilities to identify the most effective turbine configurations.
In parallel, KPMG in India standardized components and vendors using historical data and automated engineering workflows through a rule-based engine that automatically generated approximately 90 engineering documents, including product specifications, CAD drawings, and supporting documentation. These capabilities were integrated into a single platform, enabling one-click generation of complete design outputs and creating a seamless, end-to-end engineering experience.
Realizing faster, more efficient, and scalable engineering outcomes
The AI-enabled system significantly transformed engineering productivity and responsiveness by reducing turbine design cycle and enabling faster, more competitive responses to RFPs. The technology solution also helped improve turbine efficiency and overall performance while reducing the manual effort required to produce engineering documentation. These capabilities enabled greater scalability through automated, data-driven design processes, allowing the organization to deliver engineering outputs more efficiently and consistently.
How we make the difference
KPMG in India enables organizations to embed AI into core engineering processes, with the aim of unlocking greater speed, precision, and scalability. By combining advanced optimization algorithms with deep domain expertise, we can help transform complex design workflows into automated, intelligent systems.
KPMG in India welcomes the opportunity to help you harness AI to enhance engineering operations, automate complex workflows, and scale design processes to achieve greater efficiency and performance.
KPMG. Make the Difference.
Meet the team
Some of the imagery/videos were developed with support of AI technology.
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