IOH's AI-Native IT Transformation Boosts Efficiency and Agility
IOH is redefining its IT organization to be AI-native, streamlining operations and enhancing customer service. This transformation highlights the importance of reskilling teams to thrive in an increasingly fast-paced market.
Key Facts
- IOH unified 18 core platforms in 15 months, enhancing operational speed for 100M customers.
- AI-native approach cut development cycles from 3 weeks to 3 days, boosting efficiency significantly.
- Internal development costs now lower than external quotes, revealing a competitive cost advantage.
- 99% of code generated by AI shifts focus from coding to complex problem-solving, redefining roles.
- Rapid product launches and integration in 3 days highlight strategic agility in a fast-evolving market.
Summary
Summary
Indonesian operator IOH faced challenges in rapidly integrating its IT systems following a merger. To address this, the company reskilled its consumer IT teams to adopt AI-native practices, resulting in a significant reduction in development cycle times and improved operational efficiency.
Background
IOH, formed from the merger of Indosat Ooredoo and Hutchison 3 Indonesia, operates in the telecommunications industry and serves approximately 100 million customers. Prior to the deployment, IOH's IT transformation projects were lengthy and often took years to deliver, hindering the company's ability to adapt quickly to market changes.
Challenge
The primary challenge was to unify 18 revenue-enabling core platforms while ensuring that the transformation process was fast and efficient. IOH needed to find a way to accelerate problem-solving without altering its workforce or incurring excessive costs.
Solution
IOH implemented a strategy to reskill its existing IT teams, encouraging them to become AI-native. This involved allowing over 50 IT engineers to utilize AI tokens freely to solve business problems across functions. The company developed an AI skills library to assist employees in addressing challenges without prior coding experience. Additionally, IOH established guardrails for security and data privacy to support this new approach.
Results
As a result of these initiatives, the cycle time for medium-sized development projects decreased from three weeks to three days. Internal development costs became significantly lower than external quotes for comparable work. IOH successfully launched multiple platforms, including a content aggregator that allows for rapid integration of new partners within three days.
Key Insights
Organizations should focus on reskilling their existing workforce to leverage AI effectively rather than waiting for perfect foundational systems. Emphasizing a culture of experimentation and organic adoption of AI can lead to significant operational improvements.
Customer Testimonial
“Using AI to deliver outcomes is a mindset change, and we measured it very scientifically.” — Hitesh Kumar, SVP and Head of Consumer Tech & Digital Innovation
Entities Mentioned
Companies
Products
Technologies
People
Key Concepts
Definitions
- AI-native
- An approach where organizations integrate artificial intelligence into their operations and culture, enabling faster problem-solving and innovation.
- forward-deployed operating model
- A structure where teams work horizontally across functions rather than within traditional silos, enhancing collaboration and efficiency.
- tokenmaxx
- A practice encouraging employees to utilize AI tokens freely to solve business problems, promoting a culture of innovation.
- MCP (Model Context Protocol)
- A framework that helps organizations manage and utilize data effectively, facilitating the transition to AI-native operations.
- AI-generated documentation
- Documentation created by AI systems to ensure knowledge retention and continuity as personnel and technologies evolve.
Use Cases
- →Unifying core platforms post-merger
- →Developing the Flash commercial product catalog
- →Creating a content aggregator platform for flexible bundling
- →Reducing development cycle time from three weeks to three days
- →Integrating new partners in three days
- →Improving end-to-end purchase experience through AI
Frequently Asked Questions
What is the main goal of IOH's transformation?
IOH aims to become AI-native by reskilling its IT teams to enhance operational efficiency and speed in problem-solving. This transformation allows them to respond to market changes more rapidly.
How does IOH ensure its teams are ready for AI integration?
IOH encourages its employees to explore AI tools and solutions organically, fostering a culture where they can experiment without fear of failure. This approach helps them develop new skill sets necessary for an AI-driven environment.
What is the significance of the Flash product catalog?
The Flash product catalog allows IOH to launch new products instantly by embedding AI at both design and runtime. This innovation streamlines the process, enabling a single person to manage it end-to-end.
What challenges do telcos face in adopting AI?
Telcos often struggle with lengthy transformation projects that hinder their ability to adapt quickly. IOH advises against waiting for perfect foundations and instead suggests using federated data layers to kickstart AI adoption.
How does IOH measure the success of its AI initiatives?
IOH tracks the cost-effectiveness of internal development compared to external partners and measures the impact of AI on cross-functional collaboration and delivery speed, ensuring that they achieve tangible outcomes.