A practical approach to AI enabled operating models
When we talk about adaptive organizations and AI enabled operating models, what it really comes down to is gaining the flexibility your organization needs to succeed with AI through the right combinations of humans, processes, and machines. Gone are the days of the one step at a time approach where you would 1) develop a strategy, 2) design the operating model, and 3) deploy and manage change. These are now perpetually concurrent activities in an adaptive organization, and they take thoughtful planning, iterative experimentation, and a willingness to learn as you go.
Through integrated delivery and proactive value engineering, we will implement a sustainable architecture that amplifies the entire value chain and ensures end to end value realization to not only drive value oriented optimization but also redefine our competitive edge by aligning every process with measurable, stakeholder driven outcomes.
Building an adaptive organization
Deploying AI to build an adaptive, AI enabled operating model is not a decision of will I” or wont I, You will, because you have to. How your humans, processes, and machines come together in an effective manner is the biggest question you will face. There are many ways to be effective at these intersections, think of your AI deployment options as a spectrum.
- Assist: AI helps the human with simple tasks.
- Augment: AI enhances the human’s decision-making
- Anticipate: AI predicts trends and risks and makes humans aware.
- Associate: AI provides recommendations for complex problems.
- Automate: AI takes over repetitive, low and no value activities.
This spectrum isn’t always a maturity curve, but it can help frame your thinking early in your AI journey. Remember Start small, think big, Start with finding ways to assist and augment humans and their processes. Then, consider what it might mean to automate those processes. Posit what it might mean to agentize parts of humans’ work. Value correlates with how far toward the right on the spectrum you go, but so do cost and risk, and aren’t we trying to reduce them, Test and learn.
There is no escaping the fact that building an adaptive, AI enabled organization is hard, messy, and requires leaders who are willing to experiment, learn from failure, and adapt as they go. History shows us that transformative technologies tend to realize their promise, often in ways and at a pace that are impossible to predict. AI is no different. The question isn’t if it will reshape the way we work, but how and when. While we can’t foresee every turn, one thing is certain, the organizations that take thoughtful, deliberate steps now will be the ones poised to lead the way.
