In recent years, organizations have been racing to adopt Artificial Intelligence. The focus has been on models, computing power and the new possibilities enabled by the technology.
That discussion remains important, but it is no longer enough.
Today, the question has changed. It is no longer about how to adopt AI, but how to make AI work at scale with security, governance and the ability to generate business value.
This shift is clearly reflected in NTT DATA's Global AI Report 2026. The report reveals that 95% of organizations believe private and sovereign AI will become a key element of their strategy. However, most also acknowledge that they are not yet equipped to deploy it at scale. The challenge is no longer primarily technological, it has become an operational one.
And this is precisely where a new conversation about Business Process Services (BPS) begins.
Transformation happens in operations
Traditionally, Business Process Services have been associated with efficiency, productivity and process standardization. These objectives remain essential, but the business context has evolved.
Organizations now need operations that can respond quickly to market changes, support real-time decision-making and transform data into a competitive advantage.
That is why we increasingly talk about Intelligent Operations.
When Artificial Intelligence, automation, analytics and business expertise work together, operations move beyond simply executing processes. They continuously learn, identify opportunities for improvement, anticipate risks and generate insights that support better decision-making.
This evolution fundamentally changes the role operations play within organizations.
Scaling AI requires much more than technology
Many organizations have already demonstrated AI's potential through pilot projects. The real challenge begins when it is time to extend those initiatives to mission-critical processes and across the wider enterprise.
At that point, the questions go far beyond algorithms.
How can organizations ensure data quality? How can they protect sensitive information? How can they integrate legacy systems? And how can they establish governance models that allow AI to evolve without increasing risk?
The report shows that leading organizations address infrastructure, governance and data management as foundational architectural elements from the outset, rather than treating them as a later phase. This is what enables them to move from experimentation to scalable deployment faster.
Trust becomes an operational asset
As AI takes on a greater role in business operations, trust is no longer simply a regulatory requirement.
It becomes a competitive advantage.
This means creating environments where data, models and processes operate securely, transparently and in alignment with business priorities.
It also means ensuring that people continue to play a central role in overseeing, interpreting and evolving AI-enabled decisions.
Technology accelerates processes. People provide context, judgment and accountability.
It is this combination that truly enables intelligent operations.
The next step for Business Process Services
I believe we are entering a new phase in the evolution of Business Process Services.
The real value will no longer come solely from executing processes more efficiently. It will come from transforming operations into intelligent platforms that continuously learn, adapt and generate actionable business intelligence.
Organizations that build this foundation will be better positioned to grow, innovate and respond with greater agility in an environment of constant change.
Ultimately, competitive advantage will not belong to those who adopt Artificial Intelligence first.
It will belong to those who successfully transform AI into intelligent, well-governed operations that are ready to advance with confidence.