Komatsu Australia automates licensing processes for operational efficiency
Komatsu Australia improved operational efficiency by automating their manual licensing process using Microsoft Power Automate and AI Builder. The organization previously experienced operational delays stemming from labor-intensive, error-prone licensing workflows. By leveraging Power Automate, Komatsu Australia rapidly deployed an automated licensing workflow in just four weeks, moving from concept to production swiftly. The implementation accelerated their broader hyper-automation initiatives, enabling more scalable process automation across business functions. As a direct result, Komatsu saved over 300 work hours by eliminating manual steps and reducing errors. This initiative contributed to advancing their digital transformation and boosting operational resilience.
- Organization
- Komatsu Australia
- Industry
- Manufacturing
- Location
- Australia
- Published
- June 2022
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Komatsu Australia
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- microsoft.com
Komatsu Australia improved operational efficiency by automating their manual licensing process using Microsoft Power Automate and AI Builder
Primary read
Use case focus
Showing 2 of 2
- 1Automated licensing process using Power Automate
- 2Integration of AI for workflow validation and process automation
- Inefficient manual licensing process caused operational delays.
- Manual data handling exposed workflows to errors and bottlenecks.
- Time-consuming processes limited business scalability.
- Strain on operational teams constrained focus on higher-value tasks.
- Automated the end-to-end licensing process using Power Automate and AI Builder.
- Deployed the automation solution to production within four weeks.
- Integrated automation with relevant business systems for seamless data transfer and validation.
- Reduced manual intervention and ensured higher process reliability.
- Saved 300 labor hours through automation of licensing workflows.
- Accelerated the deployment of hyper-automation across business units.
- Improved data accuracy and reduced operational risk.
- Enabled operational teams to focus more on strategic initiatives instead of repetitive tasks.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2024.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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