Software publisher Intuit has saved nearly $90 million annually thanks to AI, while boosting coding productivity by 15%, according to this Harvard Business Review article.
Now imagine what your organization could achieve by integrating similar AI strategies. This week, we explore how medium to large-sized companies can transform their processes through AI-driven automation and personalization. Below are key elements of Intuit’s strategy that you can apply to propel your business toward operational excellence.
Intuit successfully fostered a culture of ongoing innovation by implementing monthly OIGR meetings (Operations and Input Goal Reviews) to evaluate products based on customer needs. This approach ensures alignment with customer expectations and enables rapid strategy adjustments.
By embedding AI experts within cross-functional teams, Intuit increased productivity by 15% through generative AI experiences. This structure maximizes AI’s impact across all levels of the organization.
Intuit’s DACE model (Driver, Approver, Contributors, Escalation) allowed the company to resolve conflicts quickly and make informed decisions—accelerating development speed eightfold in just four years.
These strategies can directly support your organization in building AI-powered processes, improving automation, and driving operational excellence.
To apply these ideas in your organization, start by implementing regular meetings to evaluate your products based on client needs. Integrate AI experts into your cross-functional teams, and adopt a clear framework for conflict resolution and decision-making. At Globe4Tech, we help our clients implement human-centered automated processes.
Discover five key trends shaping innovation and return on investment in AI. This Morgan Stanley article explores how major tech firms are optimizing performance, profitability, and security across their AI platforms.
Key insight: Hyperscalers are leveraging cloud migration and AI workloads as revenue drivers, while large language models (LLMs) are evolving to support enterprise reasoning capabilities.
This ZDNet article explores two paths to success in the AI era: build AI, or use it to grow your business. Microsoft’s Aditya Challapally shares insights on the technical and business skills needed to excel—especially mastering the art of prompt engineering to get precise and reliable results.
This Axios article examines how U.S. companies are experimenting with generative AI to improve productivity and efficiency. It highlights both success stories and challenges.
Key takeaway: AI helps automate tedious tasks but requires human oversight to avoid hallucinations and errors.
We hope these insights inspire you to transform your organization through AI.
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