Reimagining The Enterprise with AI
How to Implement AI in Your Business
While the vision of AI-based decision making is compelling, making it a reality will require disciplined execution and a systematic approach with an eye on producing short-term business value while building a reusable and scalable architecture.
Step 1 – Identify the most relevant business opportunities
Not all AI use cases are equally valuable. Selecting the right opportunity with the right parts of your business can have a significant impact on the trajectory of your transformation program. The first critical step in this journey is to assess AI opportunities based on the economic value they can generate and the level of complexity in implementing the AI application.
Step 2 – Pilot the first AI Application
The next step is to pilot the first generative enterprise AI application to address the priority opportunity in your business. It is important to pick a part of your business to do the pilot in that has the data to support the use case, leadership committed to make the change, and resources to implement the pilot and drive adoption.
Step 3 – Leverage the AI Platform in other areas
After the successful implementation and rollout of the first AI application, it is important to reuse the underlying AI platform to quickly follow up with other applications. This will ensure scalability and efficiency in the transformation program and significantly accelerate the rate at which AI applications can be implemented.
Step 4 – Master AI Platform to Build Own Applications
While I recommend that you purchase off-the-shelf proven AI applications to begin with, you want to master the underlying platform so that you can build your own AI applications that capture your unique IP and business practices.
Step 5 – Democratize AI for all
The power of Generative AI can make the data, AI models, and AI applications available to everyone in the organization through an easy search bar interface. This can significantly multiply the number of users who can benefit from the AI infrastructure and improve decision-making at multiple levels throughout the organization.
We often assess risks associated with action, but often forget the risk associated with non-action. In the case of AI, the risk of non-action is quite significant. Companies that choose to ignore AI do so at the risk of being reactive and thus too slow to stay relevant. Companies that accelerate AI adoption will become proactive and agile in their decision making and thus have an opportunity to overcome the “Innovator’s Dilemma” by reinventing themselves again and again.
