Salma Datenis

The conversation around AI has matured significantly over the past year.

Most organisations are no longer debating whether AI will impact their business. Instead, they are grappling with a more practical challenge: how to turn AI from a collection of tools into a capability that delivers measurable business outcomes.

That shift is creating new expectations, not only for technology teams but also for the consulting industry itself.

As AI becomes embedded across operations, decision-making and customer engagement, the role of the consultant is evolving from technical advisor to orchestrator of intelligent systems.

AI success starts with strong foundations

While AI dominates executive agendas, successful adoption depends on much more than selecting the right model or platform.

Across our customers, there is growing recognition that data quality, governance and security are the true foundations of any AI initiative. Organisations want to automate processes, generate deeper insights and deliver more personalised experiences, but they also understand that poor-quality data leads to poor-quality outcomes.

As a result, investments in data governance, data integrity and cyber security are becoming critical enablers of AI success.

Cyber security remains a priority in its own right. As organisations expand their digital footprints and increase their use of AI, protecting sensitive information, securing cloud environments and maintaining regulatory compliance become even more important.

At the same time, cloud conversations are evolving. The focus has shifted from migration to optimisation, with organisations embracing FinOps practices to better understand cloud consumption, control costs and align investments with business value.

The rise of the AI-enabled workforce

One of the most interesting developments we are seeing is the emergence of new skills requirements across organisations.

Successful AI initiatives are no longer owned by a single team or discipline. They require expertise across data, cyber security, cloud infrastructure, governance and change management. Organisations are increasingly recognising that AI success depends on bringing together diverse capabilities that can support adoption at scale.

This creates both an opportunity and a challenge.

Businesses need to rethink how they build teams, develop talent and create operating models capable of supporting an increasingly AI-driven future.

Reimagining consulting for the AI era

At Amdocs, we believe the consulting industry itself is entering a period of significant transformation.

Historically, consulting has often been centred around projects, implementations and specialist expertise. Increasingly, however, consultants will be expected to design, deploy and govern intelligent systems that continuously create value.

Our focus is on helping shape that future.

We are evolving towards AI-enabled consulting models where human expertise is augmented by AI agents capable of delivering real-time insights, automation and continuous optimisation. Alongside this, we are investing in more modular, repeatable and IP-led service offerings that accelerate outcomes and provide greater flexibility for customers.

The goal is not simply to work faster. It is to create entirely new ways of delivering value.

Investing in people remains essential

As exciting as AI is, technology alone will not define the future of consulting. People will.

One of our key priorities is continuing to build high-performing teams through leadership development, strategic hiring and a culture of continuous learning. The skills required in consulting are changing rapidly, and organisations must invest in helping their people evolve alongside the technology.

The future consultant will need to combine traditional business expertise with emerging capabilities in AI orchestration, digital collaboration and data-driven decision-making.

That future is already taking shape.

Work-life integration, not balance

One of the most influential leadership lessons I have received came from a mentor who said, “I believe in work-life integration, not work-life balance.”

That perspective changed how I think about leadership.

Perfect balance rarely exists, particularly in consulting and technology environments where priorities can shift quickly and demands are often high. What matters is understanding when to lean into work, when to step back and how to create an environment where people can sustain performance over the long term.

For me, leadership is not simply about delivering outcomes. It is about helping people thrive while delivering those outcomes.

When organisations create cultures that combine ambition with empathy, they build teams that are not only productive but resilient. And in a world increasingly shaped by AI, resilience may prove to be one of the most valuable capabilities of all.