Navigating the AI Shift: What It Takes to Adapt and Lead
By Imran Aftab
On a recent episode of Mauloa’s Winning Cultures in SMB podcast, 10Pearls Co-Founder and CEO Imran Aftab reflected on the company’s evolution into a global AI-native digital engineering partner.
Before AI became a priority for business leaders, 10Pearls was helping enterprises modernize operations and navigate major digital transformation shifts. Today, 10Pearls brings that same depth of experience to AI by helping enterprises operationalize AI throughout their organization, turning it into a scalable competitive advantage.
As organizations race to deploy AI agents, copilots, and automation tools, the enterprises creating lasting value are not the ones adopting AI the fastest. They are the ones aligning AI to business priorities, operational realities, and measurable outcomes. That experience has shown that scaling AI requires much more than deploying new tools. It requires organizations to consider how their workflows will be impacted by the implementation of AI.
Rethinking how work gets done for AI
Most companies have already begun initiatives to deploy AI to some extent. According to a Deloitte report, only about 25% of organizations have moved those pilots into production, and even less have successfully scaled them. In his interview, Imran attributes this to a workflow design problem, not a technology one. Layering AI onto an existing workflow rarely produces the outcomes leaders expect, because the workflow was never built with AI in mind.
AI doesn’t simply automate existing work. At its full potential, it changes how decisions are made, how information flows, and how teams collaborate. That’s why success often depends less on choosing the right AI model than on redesigning how work gets done.
Becoming AI-native means being willing to redesign how the business actually operates, rather than simply layering AI on top of existing products and processes. Successfully navigating a major technology shift requires organizations to reallocate investment, redesign processes, and rethink workforce roles.
Leadership determines whether organizations adapt
A significant contributing factor to successful AI adoption and maturity is not the technology, but the leadership approach. Delegating AI adoption to an assistant or a task force does not, in his framing, count as doing the work. That means experimenting with AI personally, encouraging teams to learn continuously, and creating an environment where people feel comfortable challenging established ways of working.
To realize tangible value from AI, it is important for leadership and executives to establish a clear vision and strategy, align departments and functions around common business objectives, and equip teams with the tools and guidance they need to successfully make the best use of AI.
Such organizational shifts and are not easy to implement, but delaying them can be more of a risk than making them. Transformation succeeds when leaders create clarity, build conviction, and give people confidence that change has a purpose beyond adopting the latest technology.
Adaptability is built before AI arrives
What it takes to become AI-native
As Imran’s and 10Pearls’ journey demonstrates, becoming AI-native is not primarily about adopting new technology. It is about building an organization capable of adapting as technology evolves.
Over the past two decades, the company has evolved through mobile, cloud, digital transformation, and now AI by consistently investing in new capabilities while remaining anchored in the same principles: solving customer problems, delivering meaningful business value, investing in engineering excellence, and supporting a culture of innovation and learning.
Organizations that build those capabilities won’t simply adapt to the next technology shift. They’ll be ready to lead it.
How 10Pearls helps enterprises become AI-native
Organizations do not become AI-native by deploying more AI. They become AI-native by aligning it to real business outcomes, redesigning how work gets done, and building the capabilities to scale it responsibly. That is the work 10Pearls partners with enterprises to do. Drawing on two decades of guiding clients through every major technology shift, we help organizations move from early AI pilots to enterprise-wide impact through strategy, engineering excellence, and dependable governance.
