With Generative AI on top of everyone's mind and new titles of Chief AI Officer becoming mainstream, here are my thoughts on how I would infuse AI into the DNA of corporate strategy as a core component embedded into the enterprise's value proposition to its customers. My bias here is, Generative AI is not another technology buzzword, but a truly transformative capability that if organizations do not embrace, they will fall behind. Just playing lip service and not truly looking to reimagine all the business processes will not enable the organization to enjoy all the benefits Generative AI can deliver.
The definition of Enterprise Strategy I will go with are -
- Initiatives that will achieve sustainable superior performance.
- Continue to sustainably deliver more value to customers.
In order to infuse Generative AI into this strategy, I recommend putting Customer in the center and think through all the business capabilities that need to be reimagined
The business capabilities can be broken into --
- Visible to Customer
- Not visible to Customer
The steps in crafting this strategy can be as follows -
- Educate Senior Executives on benefits, promise, risks and let them reimagine how each of the business processes they own can be transformed.
- Educate Senior Executives that adoption of Generative AI can be done at multiple speeds for different use cases and demonstrate how business value can be generated in days to months.
- Invest in training all employees, both business and IT so that every employee sees the power of Copilots/Assistants to make their tasks more effective.
- Eliminate the fear of job replacement and instead focus on new products/services that can be added with the productivity gains.
- Craft an AI Policy and make sure all employees go through security training so that sensitive customer PII information is never leaked to the Models.
- Use the multiple speed framework above and implement pilot projects to demonstrate success as the enterprise progresses in infusing AI into their business processes.
- Implement an Enterprise AI Governance and Operating Model that supports both business users and IT as complexity increases.
- Implement an AI Center of Excellence to provide guidance on tools/technologies mapping them to use cases. This should include teams building new frameworks and teams that are liaisons or evangelists to make adoption easier across the enterprise.
- Change is never easy, and a change this major needs an Organizational Change Management Strategy.
- Identify the change agents (the 20% of the organization that make 80% impact) and provide the right opportunities for them to make lasting impact.
Founder/CEO @ Insight Driven Business | AI Agency for SMBs
9 个月Vijay Mandava This is a very thoughtful and thorough approach to implementing AI. I couldn't agree more. That said, becoming an AI first enterprise requires commitment from the organization to defining its core values, vision and mission; then ensuring that all stakeholders are on board. During the steps of reaffirmation and recommitment to its business alignment during a Change Management process, many of your ideas can be implemented successfully. And by successful, I mean improved stakeholder relations, better customer interactions, better brand perception and finally better sales. All because the organization has approached the AI First Strategy along with sound business fundamental strategies.