Discover how IBL Ltd., contributing 9% of Mauritius’ GDP, worked with Opinosis Analytics to help with strategic planning around AI to optimize operations and boost productivity. With a clear AI roadmap and strategic guidance, IBL is now poised for innovation and greater efficiency.
Organization Supported: IBL Ltd.
Number of Employees: ~24,000
Objective: Strategic planning to kickstart AI integration to enhance operational efficiency and increase cost savings via AI-powered automation.
Client Overview
IBL Ltd. is a prominent conglomerate based in Mauritius, contributing 9% of the country’s national GDP. The company operates across a diverse array of sectors, including hospitality, manufacturing, private banking, insurance, logistics, healthcare, retail, and more. With such a broad footprint, IBL’s corporate office plays a critical role in streamlining operations, improving efficiency, and fostering innovation within the company.
Challenge
As a strategic leader at IBL Ltd., Delphine Lagesse, the Group Strategic Innovation and Excellence Executive, faced a significant challenge in harnessing the potential of AI to drive efficiency within the corporate office. Despite recognizing the transformative potential of artificial intelligence, IBL’s leadership struggled to understand how AI could be applied effectively across various departments.
The key challenges included:
- Manual, Time-Consuming Processes: Many corporate office functions relied on manual, repetitive tasks that were slowing down productivity and limiting the overall efficiency of operations.
- Lack of AI Expertise: With no local AI experts available and a limited understanding of AI’s potential, IBL needed external guidance to assess and shortlist AI-driven projects.
- Unclear Roadmap for AI Adoption: Although AI had the potential to unlock significant productivity gains, IBL lacked clarity on where and how to begin their AI journey. They needed expert support in developing a structured roadmap.
- Employee Engagement and Buy-In: Ensuring that employees and department heads understood AI’s capabilities and were engaged in the process was crucial to the successful adoption of AI technologies.
“As a corporate office, with all the previous discussions and the observation I had on my colleagues, the way they were doing, I realized that we have a lot of manual, repetitive and time-consuming tasks. We’re doing things very, very manually….We want to find a way to enhance operational efficiency across the departments at corporate office, but we lack the understanding and the clarity on which process could most benefit from AI and also where and how to begin, and what were the productivity gains. ”
-Delphine Lagesse, the Group Strategic Innovation and Excellence Executive
Results
To address IBL’s challenges and help them capitalize on the potential of AI, we conducted a comprehensive AI Strategy engagement. After working with Opinosis Analytics, IBL Ltd. achieved the following outcomes:
- AI Understanding and Clarity: IBL’s leadership, including the CEO and department heads, gained a much clearer understanding of AI technologies. They now recognize not only the benefits of AI but also the distinction between AI and general software development. This helped them identify realistic expectations for AI’s impact on their operations.
- Increased Employee Engagement: Employees who were directly involved in the process felt more engaged and excited about the potential of AI. Their active participation in identifying solutions gave them a sense of ownership and encouraged a culture of innovation within IBL.
- Productivity Gains: By pinpointing the AI-solvable processes, IBL has laid the groundwork for significant productivity improvements. This includes streamlining manual tasks, automating repetitive processes, and enhancing overall operational efficiency.
- Clear AI Roadmap: IBL now has a detailed roadmap for AI implementation. The company knows where to start, what resources will be required, and how to measure success.
- Better Decision-Making: The engagement has allowed IBL to make informed decisions about AI projects, ensuring that they prioritize high-impact areas and invest resources wisely. The company is now in a better position to approach AI with a clear strategy, minimizing risk and maximizing value.
- Improved Customer Experience and Talent Retention: By focusing on AI-driven efficiency, IBL expects to enhance customer experience and position itself as an attractive employer for top talent. Employees now see AI as a tool that can ease their workloads rather than a threat to their jobs, which has positively impacted morale.
Impact & Results Summary
| Outcome | Description |
|---|---|
| Concrete roadmap | 27 viable AI projects identified; top 3 per department selected for immediate impact |
| Build vs. buy analysis | Empowered leadership to talk confidently with software vendors |
| Process documentation | Provided a baseline for future software development discussions |
| Raised AI literacy | CEO, department heads, and staff now understand AI’s true capabilities |
| Employee clarity | Clear vision of ideal, AI‑enhanced solutions for their tasks |
| Reduced fear & improved competency | Staff feel less anxious about AI adoption |
“The methodology Opinosis Analytics came with was a great involvement of all the team. We worked with them. We defined with them. So they were very engaged. And I think this is, in the long term, very good for the company. We now have a very detailed document of all our processes. So it’s a very good and valuable start. If we want to start developing the software recommended, we know where to start. We have a very good foundation to start conversations with potential software developers and so on, and that was not existing before.”
-Delphine Lagesse, the Group Strategic Innovation and Excellence Executive
Next Steps…
The collaboration between IBL Ltd. and Opinosis Analytics has provided the company with a clear path forward in its AI journey. By leveraging expert guidance, IBL has gained a deeper understanding of AI’s potential, engaged its teams in the process, and developed a detailed adoption plan. With the roadmap in place, IBL is now continuing collaboration with Opinosis Analytics, focusing on implementation.
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Good Methodology and Foundation for our Large Company
The methodology Opinosis Analytics came with was a great involvement of all the team. We worked with them. We defined with them. So they were very engaged. And I think this is, in the long term, very good for the company. We now have a very detailed document of all our processes. So it’s a very good and valuable start. If we want to start developing the software recommended, we know where to start. We have a very good foundation to start conversations with potential software developers and so on, and that was not existing before…We look forward to our ongoing collaborations with Opinosis Analytics.
Opinosis Analytics Helped Us Mitigate Risks…
Working with Opinosis Analytics has been a highly positive experience. Their collaborative approach, combined with a strategic mindset, ensured that we were aligned every step of the way. Opinosis took the time to understand our unique business challenges, delivering tailored AI solutions that met our needs and helped us mitigate risks. Their open communication, reliability, and professionalism were exceptional throughout the project. We’re extremely satisfied with the outcome and would absolutely recommend Opinosis Analytics to others.
Impressive Work Quality…
Dr. Ganesan’s knowledge of Natural Language Processing (NLP) and text mining methodologies and their application to solve real-world problems is very impressive. She is able to understand the business goals and then apply and recommend the algorithms that would be most effective. She is also able to plan and estimate her work very well, which is very helpful and reassuring, especially when one is exploring an unfamiliar territory. Her work is of very high quality. Her communication skills are excellent and she is able to explain and support her work and her recommendations very well.
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