Image: Supplied
Just five years ago, few would’ve imagined that generative AI would move from research labs into our daily workflows, drafting contracts, writing code, diagnosing medical conditions, and shaping government policies. What started as a curiosity is now embedded across boardrooms, classrooms, hospitals, and ministries in the Middle East and beyond.
We’re in an era where AI can simulate economies, flag emerging health threats, and interpret complex regulations faster than a team of experts would ever be able to do on their own. And yet, those of us closest to the work know that we’re only getting started.
We are entering a phase where AI will move from supporting tasks to independently managing them. It will make decisions, manage processes, and deliver results with minimal human oversight. This marks a transition to a new class of systems; intelligent teammates capable of driving outcomes autonomously. And they will be powered by agentic AI.
What is Agentic AI?
Agentic AI refers to autonomous systems that can take a goal, break it down into steps, adapt to real-time changes, and execute independently. Think of it as the evolution from guided support to true operational autonomy.
Imagine assigning an AI agent the task of reducing procurement costs. Rather than just retrieving data, it would analyze historical trends, identify savings opportunities, request quotes, and recommend contract changes end-to-end. A healthcare agent might triage symptoms, prioritize cases, and even refer patients.
This isn’t a distant vision. It’s already happening. In logistics, agentic AI is being explored in areas like fleet routing, inventory management and disruption response. The banking, retail and manufacturing sectors are leveraging agentic AI for customer service automation, supply chain enhancement and real-time financial anomaly detection.
Agentic AI can power businesses by embedding AI agents into core functions like procurement, productivity, and process automation. In procurement it identifies high-performing, sustainable suppliers, accelerates sourcing-to-award cycles, ensures compliance, and drives measurable savings.
It can drive productivity by empowering teams to deploy no-code AI agents that coordinate workflows, surface knowledge, and make intelligent decisions faster, more accurately, and at greater scale than human-led systems that reduce project cycles from weeks to days.
To support executive adoption and strategic deployment, an AI-native, voice-enabled application has been developed that enhances executive and boardroom decision-making by automating meeting preparation, enabling real-time insights and cross-referencing, and streamlining post-meeting reporting.
It’s role in the future
As agentic AI adoption picks up across the globe, its greatest impact will be felt not just in how it optimises workflows, but how it empowers people. By handling repetitive, high-volume tasks, agentic systems allow professionals to focus on strategic, creative, and high-trust work – the areas where human judgment is essential.
This evolution can help businesses and governments build smarter, faster, and more resilient operations, without added complexity or overheads. In a region deeply invested in digital transformation and talent development, this shift can play a major role in accelerating progress toward achieving digital ambitions.
Indeed, the real opportunity lies in how seamlessly these systems become part of everyday work. Success won’t be defined by the tools themselves, but by how effectively they support people, processes, and decision-making. This means creating environments where AI not just assists but accelerates human potential at every level.
Preparing for the shift
Of course, greater autonomy demands greater care. Agentic systems must be built with security, transparency, and accountability from the start. They need to operate within local legal and cultural frameworks, and their outputs must be explainable – especially in high-stakes environments.
The shift toward agentic AI is already underway. For businesses, the focus now should be on incorporating systems that deliver lasting value and integrate seamlessly into operations, supporting real-world goals, adapting to change, and elevating human capability at every level.
The writer is the CEO of Inception, a G42 Company.
