Client

Industrial equipment manufacturer (turbine engineering)

Industry

Energy/Industrial manufacturing

Primary goal

Engineering cycle acceleration and design optimisation

Technologies

AI optimisation algorithms, machine learning, rule engines, automation

Turbine design is a highly complex and time-intensive process involving thousands of engineering parameters and deliverables. Despite having extensive historical design data from over 1500 turbines, organisations often struggle to leverage it effectively for faster decision-making.

KPMG in India developed an AI-powered turbine design recommendation engine to automate engineering workflows, accelerate design cycles, and improve efficiency outcomes.

The challenge

Turbine engineering involves multiple interconnected systems, from steam paths to generators and auxiliary components, leading to high operational complexity.

Each new order triggered a fresh engineering cycle, limiting productivity and increasing time-to-market. Manual design processes and document creation resulted in long turnaround times, particularly in responding to RFPs.

The opportunity

KPMG in India introduced AI-led optimisation to automate turbine design and engineering workflows.

The solution used a swarm intelligence-based algorithm (inspired by bee foraging behaviour) to efficiently explore a massive design search space while ensuring thermal feasibility and optimal efficiency.

In parallel, engineering workflows were standardised and automated using a rule engine to generate product specifications, CAD drawings, and documentation.

KPMG in India’s approach included:

AI-driven optimisation

Exploring trillions of design possibilities to identify optimal configurations
Design automation

End-to-end automation of turbine engineering workflows
Standardisation

Component and vendor standardisation using historical data

Rule-based engine

Automated generation of ~90 engineering documents
Integrated platform

Enabling one-click generation of complete design outputs

The impact

The AI-enabled system significantly transformed engineering productivity and responsiveness:

recycling

Drastic reduction in turbine design cycle time

support_agent

Faster and more competitive RFP responses

trending_up

Improved turbine efficiency and performance

engineering

Reduced manual effort in engineering documentation

auto_graph

Scalability through automated, data-driven design processes

How we make the difference

KPMG in India enables organisations to embed AI into core engineering processes, unlocking speed, precision, and scalability. By combining advanced optimisation algorithms with domain expertise, we transform complex design workflows into automated, intelligent systems.