Validated AI PoCs in 3 months with 5× ROI
Client
Hartalega
Industry
Manufacturing / operations (AI & data science)
Timeline
3 months
The Situation
Hartalega, a global leader in manufacturing, knew AI could transform their operations—but they needed more than strategy slides. They needed a credible, execution-ready roadmap and rapid proof of value through real, working PoCs across predictive maintenance, quality optimization, and process automation.
The challenge: move from ambition to action. Build a 3-year AI transformation strategy grounded in operational reality, then validate it quickly with measurable PoCs that prove ROI—not theoretical models, but deployed solutions that deliver business impact.
Our Approach
We combined strategic planning with rapid execution—building the roadmap and proving it simultaneously:
3-Year AI Transformation Strategy
Designed a phased roadmap aligned with operational priorities: quick wins in Year 1 (predictive maintenance), scaling in Year 2 (quality optimization), and advanced use cases in Year 3 (AI agents for autonomous optimization).
Predictive Maintenance PoC
Built and deployed a predictive maintenance model analyzing sensor data to forecast equipment failures before they happen—reducing downtime and maintenance costs.
Predictive Quality PoC
Developed a quality prediction system using production data to identify defects early in the manufacturing process, improving yield and reducing waste.
AI Agents for Process Optimization
Created intelligent agents that monitor production workflows and recommend real-time optimizations—demonstrating how AI can drive continuous improvement autonomously.
ROI Measurement Framework
Established clear evaluation criteria and ROI tracking for each PoC, ensuring business impact was quantified—not just technical feasibility.
The Results
In just 3 months, we moved from strategy to validated PoCs with measurable business impact:
Strategy to validated PoCs
Measured business impact
Multi-Use-Case AI Program
Rather than a single PoC, we delivered a portfolio of validated use cases across maintenance, quality, and optimization—demonstrating AI's potential across the entire value chain and building internal capability simultaneously.
"This is how AI transformation should work: strategy grounded in operations, rapid PoCs that prove value, and ROI measurement from day one. Not slideware—deployed systems that deliver 5× returns and build momentum for scale."