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INTRODUCTION
Can Your Ecosystem Enable Effective AI Adoption at Scale?
To derive real business value from AI, enterprises must master the continuum of adoption, moving iteratively at a high velocity while also thoughtfully managing change across the organization. Not only does this demand modern, reliable technology, it also requires pragmatic implementation and effective change management programs that set teams up for success. Yet, few have it all.
THE RESULTS
What’s Holding Enterprise AI Adoption Back: The Technology or the People?
Improved Productivity & Greater Operational Efficiencies
Executives and engineers alike list improved productivity and greater operational efficiencies as their top goals, no matter their maturity level.
Revenue Gain
Revenue gain is only the sixth most important goal for our respondents overall – with it being slightly more important to advanced companies.
26%
of disruptors and advanced companies have delivered AI use cases to the market, compared to 9% and 3% of competent and beginner companies, respectively.
30%
of engineers say that one of their top challenges is that the business and tech teams do not talk to each other, compared to 29% of executives.
WHAT YOU CAN DO ABOUT IT
Alignment is Essential to Achieving Modernization
Define a North Star & Backcast Your Way to an Effective Roadmap
Align with your teams on your purpose. What new heights could a modernization initiative allow your business to reach? How could it enable you to unlock the benefits of AI for growth at scale? Once you’ve agreed on your purpose, your team can work backwards to create a roadmap for achieving modernization.
Take a Systems Thinking Approach to Address Modernization Complexity
Connect your modernization initiatives to a common goal and unleash innovation across the entire company. By applying a systems thinking mindset, your teams can get to the heart of your challenges, enabling you to achieve balance and harmony in the overarching business system — and leading to meaningful, sustained outcomes.
Promote a Strong Feedback Loop between Business & Tech Teams
Build and foster clear communication, a collaborative approach to decision-making and a continuous feedback loop among teams. Open new doors for rapid growth by bringing together the right processes, the right tools and the right people with the right skills. Introduce new ways of working that enable your teams to embrace AI as a revenue driver instead of as a cost cutter.
Apply an “Automation at the Last Mile” Approach
Let your priorities guide your AI strategy and modernization needs — not the other way around. Think through your automation needs only after you’ve aligned on your business goals and required technology modernization improvements.
Lay the Right Foundations for Your Technology Infrastructure
Build strong foundations for your data, cloud and security programs and activate through a modern operating model that bridges the divide between your business and technology organizations with minimal disruption. Employing techniques like designing a composable architecture with API enablement gives your enterprise the agility to be ready for new opportunities.
Shift to a Product-Centric, AI-Native Operating Model
Transform your operating model to focus on product-centricity to reduce time-to-market and achieve scale. This shift will assist you in revolutionizing business processes, delivering product and platform innovation and AI-native capabilities, and adapting your culture to create long-term value.
Develop a Thoughtful Change Management Program
Take into consideration your team’s current understanding of AI and create a change management program that speaks to that. By understanding your team, you can effectively decide what needs to be done to change their ways of working.
Measure Your Results to Ensure You’re Proving Value
Implement a system to track your established KPIs and holistically monitor the progress of your modernization initiatives, enabling continuous improvement and alignment to your strategic goals.
