FEATURE
Within a few years, the organisations that bury their heads in the sand to the transformations now underway could find themselves struggling to compete. outputs typically generated by misconfigured or disconnected tools. This is because they are still navigating legacy systems with little clear guidance on how AI should be used safely or effectively.
Some of the key challenges for CIOs in deploying agentic AI are therefore about trust and coordination. How can agentic AI systems be put to work at scale without damaging trust, increasing risk or creating chaos while still delivering measurable productivity gains?
Many CIOs are encountering what has been called an AI‘ Trust Valley’. The AI Trust Valley occurs when it is unclear who is accountable for the AI technology, how systems can be monitored and how they can be audited.
CIOs hesitate and become stuck in a loop of endless experimentation with new tools. Breaking this is about ensuring that accountability, transparency and trust are engineered into AI systems from the start.
Abandoning the ostrich strategy requires not just the adoption of new technology but a change in leadership mindset.
Lessons for CIO leaders
There are several steps CIO leaders need to take to begin harnessing the power of AI systems in their enterprises and face head-on the challenges and opportunities they pose.
The change must start with how they view and approach the technology. CIOs should be comfortable using, discussing and deploying AI. They must model the new approach to agentic systems that successful integration will depend on, signalling adoption of the technology is a strategic priority.
They must then map every corporate function, including talent, engineering, marketing, finance, HR, IT and operations, to identify where agents and AI systems can improve productivity by orchestrating workflows and reducing friction across the organisation.
I like to call this Engineering to the Power AI( EngineeringAI), a discipline where human engineers and agentic systems operate as a single layer rather than as parallel workstreams. This method functions on three interlocking pillars: platform, process and people.
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