Karthik Kumar, Managing Director, Acxiom MENATEnterprises around the world are moving beyond traditional analytics and automation toward something fundamentally more powerful: agentic AI – artificial intelligence (AI) systems capable of taking action – not just generating insight.
These systems don’t simply recommend; they interpret, anticipate, orchestrate, optimise and execute. They behave more like digital co-workers than software tools.
This shift is not incremental. It is ushering in a new operating model where intelligent agents continuously learn and act across the organisation, driving growth, efficiency and customer value. And it is redefining the mandates of chief executive officers (CEOs), chief marketing officers (CMOs), chief technology officers (CTOs) and chief data officers (CDOs).
From intelligence to action: What makes agentic AI different?
First-generation AI delivered predictions. Second-generation platforms delivered personalisation. Agentic AI delivers outcomes.
It connects identity, audience intelligence, enterprise data and technology systems into an automated, agent-driven layer that can detect patterns, decide on actions, initiate workflows, adapt to real-time signals and self-improve with minimal human intervention.
Gartner studies predict that approximately 40 per cent of repetitive, structured marketing & data tasks could be agent-driven by 2027 – especially in firms with strong data platforms, automation, governance and app ecosystems.
Agentic AI is no longer theoretical. It is becoming the decision-making backbone of the future enterprise.
“The question for CXOs is no longer ‘Should we use AI?’ but ‘How do we build an organisation where AI can think and act on our behalf?’.”
CEOs: Turning data into a living enterprise engine
For CEOs, agentic AI transforms years of accumulated data, disconnected systems and siloed teams into a single, always-learning intelligence layer powering the business.
The gains are substantial. Clarity emerges through a unified, real-time view of performance across the enterprise. Speed accelerates as decision cycles and execution happen in minutes rather than planning cycles.
Efficiency improves as agents automate repetitive, rules-based tasks. Growth follows through more accurate forecasting, enhanced customer outcomes and reduced revenue leakage.
A recent McKinsey analysis shows that companies adopting agent-based decision systems see 10 to 20 per cent revenue uplift and 30 to 45 per cent productivity improvements within the first 18 months.
For CEOs operating in competitive, digital-first markets, this is not a technology upgrade. It is an acceleration engine.
CMOs: From manual optimisation to autonomous growth
CMOs are entering an era where media, content and customer journeys are shaped in real or near-real time by intelligent agents.
Agentic AI transforms marketing by creating segments dynamically based on responsiveness, personalising communication across every touchpoint, generating creative assets on demand, allocating budgets autonomously and attributing and optimising performance as it happens. With many marketers citing ‘audience understanding’ as their biggest challenge, agentic AI unlocks high-fidelity customer intelligence based on identity, intent and behavioural signals – not assumptions. This is especially critical in MENAT, where audiences are mobile-first, multilingual, culturally nuanced and expect relevance at scale.
CDOs: Identity and data become the enterprise brain
Agentic AI requires strong identity infrastructure and clean, governed data. This places CDOs at the centre of enterprise transformation.
CDOs can enable the foundations: unified customer profiles, privacy-safe collaboration via data clean rooms, first-party data enrichment, advanced audience modelling and real-time decision signals feeding all systems.
Research shows companies with a robust identity spine are three times more likely to operationalise advanced AI at scale.
In markets like the UAE and Saudi Arabia – where governments are aggressively pursuing digital-first economic agendas – this becomes a genuine enterprise advantage.
CTOs: Architecting an AI-orchestrated enterprise
CTOs face the complexity created by legacy systems, fragmented data and an ecosystem of platforms spanning enterprise resource planning (ERP), customer relationship management (CRM), customer data platform (CDP), cloud infrastructure, data lakes, media and personalisation engines.
Agentic AI sits above this stack as an orchestration layer, coordinating systems that previously required heavy
manual configuration.
McKinsey’s case studies show agentic designs materially speed modernisation efforts and deliver measurable productivity gains in enterprise settings.
Why MENAT is poised for an agentic AI leap
The region possesses the exact characteristics that accelerate AI adoption: a young, mobile-first population with over 60 per cent under 35; among the world’s highest digital and social media usage rates; government-led innovation mandates prioritising data and AI; and enterprise transformation agendas
across retail, finance, travel, real estate and e-commerce.
This combination positions MENAT to leapfrog legacy-heavy markets in scaling agentic AI.
The path forward with agentic AI
Agentic AI is not a trend. It is the next chapter of enterprise intelligence.
The question for chief experience officers (CXOs) is no longer “Should we use AI?” but “How do we build an organisation where AI can think and act on our behalf?”
Early adopters will gain advantage in speed, accuracy and market position. Those who wait will find themselves competing not just with companies, but with companies powered by intelligent machines. The rise of agentic AI is here. And it is rewriting the CXO playbook.
By Karthik Kumar, Managing Director, Acxiom MENAT
