Experts warn that systems that decide on banking, travel, and billing must remain transparent.
Artificial intelligence is increasingly shaping how consumers interact with banks, telecom providers, airlines, and government services across the United Arab Emirates.
From checking bank balances to tracking deliveries and rebooking flights, many everyday digital interactions now rely on automated AI systems designed to process large volumes of requests quickly and efficiently.
In many cases, customers may not even realize that artificial intelligence is handling their queries behind the scenes.
Automation of Routine Customer Requests
According to Guru Sethupathy, General Manager for AI Governance at AuditBoard, AI has quietly been embedded in digital services for years.
“The reality is they already are. It’s just not always in ways customers notice,” he said.
Most deployments focus on low-risk transactional interactions, where automation improves efficiency without introducing significant risk.
Examples include:
- Account balance inquiries
- Parcel tracking
- Flight status updates
- Basic customer service requests
These systems allow companies to handle millions of routine requests while reserving human agents for more complex issues.
UAE Among Early AI Adopters
Technology leaders say the UAE has been among the earliest countries to integrate AI into customer-facing services.
Zane Ulhaq, Head of MENA at Endava, noted that AI assistants already handle millions of interactions across public and private sectors.
He pointed to examples such as DEWA’s Rammas, an AI-powered virtual assistant used by Dubai’s electricity and water authority.
Banks in the UAE have also adopted similar technologies.
Financial institutions such as Emirates NBD deploy AI-powered chat assistants to handle routine customer queries and digital service requests.
“In fast-paced Gulf markets, people want answers instantly,” Ulhaq said. “They don’t want to wait for a call back tomorrow.”
Innovation Happening Behind the Scenes
While customer-facing chatbots attract attention, much of the most significant AI innovation is occurring behind the scenes.
Companies increasingly use artificial intelligence in engineering, cybersecurity, coding, and operational management.
These back-office applications allow organizations to automate complex processes while maintaining oversight and minimizing direct risks to customers.
According to Sethupathy, the rapid expansion of backend AI also coincides with stronger governance frameworks designed to manage the technology responsibly.
AI Expanding Into Business-Critical Workflows
Enterprise adoption of AI is accelerating rapidly across the UAE.
According to research cited by Kurt Muehmel, Head of AI Strategy at Dataiku, 65 percent of UAE CIOs say AI agents are already embedded in business-critical workflows.
These systems increasingly influence decisions in areas such as:
- Financial services
- Insurance claims
- Customer credit evaluation
- Logistics and operations
As AI systems move deeper into operational decision-making, however, new challenges are emerging.
The Problem of Explainability
One of the biggest concerns surrounding AI deployment is the lack of transparency in automated decisions.
When AI systems produce outcomes such as loan approvals or claim rejections, customers may not always understand how those decisions were made.
“You get a ‘no’ and nobody can tell you exactly why,” Muehmel said.
Research suggests that many technology leaders in the UAE recognize this risk.
Around 63 percent of UAE CIOs believe an AI explainability failure could trigger a trust crisis, the highest rate reported in global surveys.
Data Governance Risks
Experts also warn that the most serious risks often relate to data usage rather than the algorithms themselves.
If AI systems are trained on biased or inappropriate data sets, their decisions could unintentionally disadvantage certain groups.
“The biggest risk to someone receiving a loan decision is not that the AI calculated incorrectly,” Muehmel explained.
“It is that the AI was trained on data it should not have used.”
Strong data governance, therefore, plays a critical role in maintaining fairness and trust in automated systems.
Guidelines for Responsible AI
To manage these risks, companies deploying AI are introducing structured oversight and governance frameworks.
According to Levent Ergin, Chief Strategist for Agentic AI and Regulatory Compliance at Informatica, responsible deployment requires strict testing and supervision.
Before deployment, organizations often run AI models through simulations using controlled data and edge-case scenarios.
“A pilot is not handed the controls without simulation training and supervision,” Ergin said. “The same logic should apply to AI.”
Human Oversight Remains Essential
Many companies rely on human-in-the-loop systems, where employees review AI-generated outputs before final decisions are made.
Monitoring tools also track system inputs and outcomes to ensure organizations can audit automated decisions and intervene when necessary.
Because AI systems evolve as they process new information, continuous monitoring remains essential.
“Treating AI like ordinary software underestimates it,” Ergin said. “In practice, it behaves more like a living system that requires constant oversight.”
Balancing Innovation With Accountability
Despite the benefits of AI, pressure on companies to adopt the technology quickly is growing.
Competition across industries is encouraging organizations to deploy automation rapidly to improve efficiency and reduce costs.
Sethupathy warned that this pressure can sometimes push companies to implement AI faster than their governance frameworks allow.
“Yes, that risk is real,” he said.
The key challenge lies in ensuring that innovation and oversight evolve together.
The Future of AI in UAE Services
Industry experts believe the next phase of AI adoption will focus less on experimentation and more on trust, accountability, and transparency.
As artificial intelligence increasingly influences financial, healthcare, and public-sector decisions, organizations will need to demonstrate that automated systems operate fairly and responsibly.
In the UAE, where digital transformation continues to accelerate, AI is already reshaping how services operate.
The next challenge will be ensuring that the technology remains transparent, accountable, and trusted by the people who rely on it every day.
AI is rapidly reshaping the world’s development trajectory, emerging as a powerful catalyst for inclusive growth, innovation, and global competitiveness.
Shutterstock/ Source: Gulf News
