Tech Features
Reshaping Customer Service and Experiences: The Impact of Chatbots and AI
By Mohammed Sleeq, COO at Unifonic

Technology and artificial intelligence (AI) have become integral to our daily lives, reshaping industries and revolutionizing human experiences. The influence of AI, particularly through tech giants, is evident in the transformative impact it has had on various sectors. Meta, with its innovative Llama technology, and OpenAI, through ChatGPT, are leading the charge, providing cutting-edge solutions that redefine the industry landscape.
AI chatbots are becoming increasingly important in today’s industries, as they redefine the way operations are run. The world of customer service has witnessed a significant transformation, driven by the remarkable potential of AI-powered chatbots. This technical shift has rewritten customer experiences and engagement by meeting their preferences and interests.
Thanks to technological advancements, chatbots have become more capable than ever, making them an invaluable tool for organizations to enhance user experiences. Recent reports suggest that over 90% of users interacted with chatbots in the previous year, with 70% of them rating these conversations as positive.
With the help of advanced chatbots, around 90% of customer queries and concerns can be resolved within just 10 messages or less. This is because chatbot conversations are typically brief and to the point. The AI technology behind these chatbots is capable of comprehending customer requests and formulating tailored and effective solutions to their problems, resulting in minimal responses. Chatbot designers have complete control over the user interface, conversation flow, and response rates for various message options.
Did you know that the top five nations that use chatbots are the United States, India, Germany, the United Kingdom, and Brazil? It’s interesting to note that most of the approximately 1.5 billion chatbot users are based in these five countries. Moreover, this number is expected to continue growing worldwide. It is predicted that by 2027, many organizations will rely primarily on chatbots for customer assistance. In the Middle East, it is estimated that around 85% of all consumer interactions will be handled by technologies like chatbots by the year 2025.
Chatbots beyond functional roles
Chatbots can be an effective tool for customer service and marketing, as they can significantly reduce costs and save time. With advancements in AI, chatbots can now customize their interactions with each individual client, leading to more efficient and natural conversations. This enables businesses to gain a deeper understanding of their customers’ needs and preferences.
In the ever-evolving landscape of AI adoption, governments are quick to recognize the potential of chatbots. AI is rapidly being commoditized, with chatbots becoming integral tools for public services. Governments worldwide are actively leveraging chatbot technology for a range of applications, signalling a widespread recognition of its efficiency in handling citizen interactions.

In the past, chatbots could only provide customers with basic assistance due to their reliance on rules-based reasoning. They would identify specific trigger words and phrases in a customer’s query and respond with pre-scripted statements. However, this approach had limitations since chatbots couldn’t learn from customer interactions, which made it difficult for them to understand precisely what the customer required. As a result, chatbots were only effective in answering straightforward queries.
Additionally, it was also challenging for previous chatbot versions to accommodate regional dialects and engage in non-European language conversations. However, with the use of natural language processing (NLP) or natural language understanding (NLU), modern automated chat systems have become more effective in interacting with users in Arabic and many other global languages. Contemporary AI-driven chatbots now leverage advanced language processing, enabling effective interactions in multiple languages. For regions like the Middle East, where a 24/7 multilingual call center is costly, AI presents a very effective solution. Modern chatbots offer real-time translations, enhancing customer satisfaction and operational efficiency. For example, Unifonic’s software solutions operate seamlessly in English, Arabic, and Urdu, showcasing the flexibility of AI in breaking language barriers, which is crucial for an inclusive customer experience.
Today’s AI chatbots have already shown significant improvements in human-like communication. With advanced language processing algorithms, these chatbots can understand the user’s inquiry and provide appropriate responses with a natural conversational tone. They are also capable of learning the user’s behavior and preferences, creating a more personalized and natural conversation experience. It’s as if the chatbot is genuinely listening and engaging with the user, simulating human-like conversation. The advancement in AI chatbots has made it possible to bridge the gap between human and machine communication, making it easier for users to interact with them. With all the advancements and benefits that come with AI-driven chatbots, it is expected that their adoption will increase significantly worldwide in the next few years.
AI bots and their ability to exhibit human-like characteristics in future
Interacting with a conversational chatbot feels more natural and organic because it can understand synonyms, emotions, and context better. This enhances the AI’s understanding of customers and their queries, reducing misunderstandings that could lead to a negative experience.
Moreover, these AI chatbots are known for their empathetic responses, which enable them to identify and respond to the emotions that humans display during conversations. The chatbot system can recognize a broad range of emotional states, from happiness to despair or frustration, by analyzing the tone, choice of words, and facial expressions. This reaction not only enhances the user experience but also enables users and robots to communicate more effectively.
Evolving role of AI in chatbots
Globally, conversational AI chatbots are revolutionizing the corporate landscape. A few years ago, many chatbots were ineffective, often counterproductive, and poorly configured, resulting in low customer satisfaction. However, the rapid advancement of AI and Natural Language Understanding has significantly contributed to the emergence of more advanced chatbots.
Nowadays, AI chatbots have become vital tools in modern marketing, seamlessly integrating with full-funnel conversational marketing strategies. These advanced chatbots play a crucial role in every stage of the customer journey, from initial awareness to post-purchase engagement. During the initial awareness stage, AI chatbots interact with website users in real-time, providing them with immediate information and support. As users progress through the consideration phase, these chatbots use personalized interactions to assist them in making informed decisions.
In addition to facilitating smooth processes during the decision and conversion stages, AI chatbots are essential for maintaining client retention post-purchase. They offer continuous assistance and gather insightful feedback to improve user experiences. Together, conversational marketing and AI chatbots enable organizations to create lasting connections with their target audiences, driving success across the entire marketing funnel.

Assessing valuable user data through chatbot interactions
In today’s fast-paced digital world, businesses from various industries constantly seek innovative ways to connect and engage with potential customers. Chatbots are an effective tool, providing companies with a unique opportunity to customize their interactions and engage effectively with their target audience. Additionally, chatbots help streamline the customer acquisition process, making it more efficient and effective.
Privacy and protection of customer data
It is important to integrate AI chatbots into operations with proper awareness and understanding of the potential ethical issues that may arise. Using private data collected by chatbots poses many moral and legal challenges. AI technology suppliers must provide information on how their systems handle ethical issues and what measures should be taken when implementing them. This is primarily because chatbots can gather information about customer preferences, behavior, and interactions, which can provide numerous useful insights.
By utilizing these insights, chatbot users will be provided with a better and tailored experience, as well as more precise and relevant answers to their queries. However, the collection and storage of personal data and information require secure management of this data in a compliant manner. Companies must ensure that they have the necessary security mechanisms in place to safeguard customer information and comply with data privacy laws, such as the General Data Protection Regulation (GDPR).
Chatbots are significantly transforming the customer service industry by providing companies with the opportunity to offer clients seamless, personalized, and effective customer assistance. They lower expenses and improve customer experiences by handling numerous requests simultaneously, providing immediate responses, and delivering tailored interactions. Chatbots are expected to become increasingly complex and sophisticated as technology continues to develop, further combining voice recognition, emotional intelligence, and other cutting-edge AI tools to enrich customer journeys.
Tech Features
The Financial Sector Facing Its Black Swan: How AI Agents Are Redefining the Industry
By Julio de Salvo, Chief Solution Officer for MENA & APAC at Globant
For decades, the financial industry has managed to replace banknotes and coins with “invisible” assets through different technological implementations. However, innovation in the sector has generally moved at a slow pace when dealing with something as sensitive as people’s finances. In 2026, the black swan is beginning to emerge: the first steps of AI agents that will redefine the industry (as they will many others). The financial black swan is not a crisis: it is a huge change. Across the Middle East and Africa, where a convergence of government-backed modernization agendas, digitally native consumers, and institutional ambition is accelerating the timeline for transformation.
The first step has been the use of Gen AI without the customer perceiving it. Coding, fraud prevention, phishing detection, and credit assessment are some of its tasks. But it is now beginning to become a tool for managing users’ finances. In the MENA region, this shift is already visible at the institutional level. Across the 25 MEA banks benchmarked by the Evident AI Index (June 2026), the established leaders are no longer running pilots, they are directing investment toward high-friction processes where AI can materially reshape productivity, scalability, and competitiveness. UAE-based banks and fintechs are already validating agent-initiated transaction pipelines in production environments. These are some of the examples, but there are more.
In July 2026, the revealing Mills Review, published by the FCA (Financial Conduct Authority), the UK’s official financial regulator, pointed out that AI agents will become the new financial interface. Essentially, an AI assistant will manage budgets, answer queries, generate reports on demand, and move money between accounts. How much was spent on a vacation in total, how a stock portfolio performed over the past month, or canceling an annual subscription will be as easy as making a query to ChatGPT today. For MENA consumers, who have in many cases leapfrogged legacy banking behaviors entirely, this vision is the baseline expectation.
The Mills Review also argues that Open Banking will evolve toward a model in which AI agents will have access to a broader range of financial products to enable intelligent decisions across different areas, and highlighted that this will lead to an evolution in regulation. In the GCC, this evolution is being actively shaped by regulators and governments alike, with initiatives such as Dubai’s target of 90%+ digital transactions by 2026 signaling not just ambition, but structural commitment to a cashless, AI-enabled financial ecosystem.
The agentic AI opportunity in the region is real, but it remains underexploited. According to EY-Parthenon’s 2025 Generative AI in Banking Survey, 99% of respondents are familiar with agentic AI, yet only 31% have pursued implementation, with a further 46% expressing interest. Awareness, in other words, has raced ahead of execution. This gap between recognition and production-grade deployment is precisely where the competitive battle will be won or lost.
This represents a major shift in the industry, where historically the leading banks have, for the most part, remained the same. Differentiation can now change everything, and it would not be surprising if new players manage to break into the ranks of the world’s most important financial institutions. In the Middle East, the region’s financial landscape already includes a new generation of digital-first challengers sitting alongside heritage institutions, all of which are now actively exploring or deploying agentic capabilities. The reason sounds obvious when explained: if the experience with an AI assistant can manage customers’ money better, it will prevail. This is not an exaggeration: just four years ago, nobody knew ChatGPT, and now we have become so accustomed to it that we all ask ourselves: why shouldn’t I manage my assets with a chatbot that can provide reports and recommendations? A study by JPMorgan found that half of Gen Z wanted to use them to manage their finances.
The infrastructure for agentic commerce is also being built in real time across the GCC. Mastercard has conducted regional pilots in partnership with Majid Al Futtaim, enabling consumers to search, select, and purchase VOX Cinema tickets programmatically through an integrated AI assistant. In May 2026, Visa launched its global Agentic Ready program in the UAE, with early adopters including ADCB, ADIB, Emirates NBD, Mashreq, Tabby, Wio, and Ziina already validating agent-initiated transaction pipelines in production.
We are living in a time of change. In its 2026 report on the financial sector, the World Economic Forum urged organizations to move with “urgency” and “discipline”. The greatest benefits, it stated, will go to those working on a holistic redesign of workflows and technology architecture. In the MENA region, the conditions for genuine transformation are already in place: strong institutional will, government-aligned modernization agendas, and a consumer base that has leapfrogged legacy behaviors entirely.
One of the major questions is why, if the financial sector has such a strong technological tradition, the emergence of AI Agents represents a black swan. There are several reasons. First, historically, customers used banks to execute transactions; therefore, in the executive conversations avoiding risk was prioritized over innovation. This is changing with the emergence of digital banks, which are generally more inclined toward disruption, and shifts in consumer habits. In the GCC specifically, consumers who bypassed branch banking and moved directly to mobile-first financial services are now primed to embrace AI-managed financial experiences with little friction. The challenge of the future is not to provide a tool, but to redesign experiences to address this transition comprehensively. AI has the potential to resolve the technological debt involved in migrating traditional banks, which have historically struggled the most with this transition.
The second reason is the technical debt banks have demonstrated in dealing with change. This has also occurred in other industries, but the idea of paying for a premium license for every employee and expecting immediate returns only leads to frustration. There is significant resistance when it becomes clear that certain tasks and workflows will inevitably be different from what has been established. In the Middle East, where several national banks have invested heavily in core banking modernization programs over the past decade, the foundations are more favorable than in many Western markets, but the final leap from modernized infrastructure to genuinely agentic deployment still requires focused capability and deliberate execution.
The third reason is regulation. Technology companies, banks, and authorities will need to maintain an ongoing dialogue to ensure that innovation and integrations do not affect users’ personal data or security, while ensuring that restrictions do not become a barrier to progress. One of the most valuable lessons from the banking sector’s legacy is the importance of being extremely careful when dealing with something as sensitive as people’s money.
For many years, the impact of AI was often explained as something that belonged to a distant future. In the financial sector, it is already a reality: it is part of multiple tasks and is beginning to become an asset in the customer proposition. With AI Agents, innovation can no longer, and should no longer, go unnoticed. New habits require the redesign of customer journeys, and this could represent a revolution for the sector. For Middle East banks, the opportunity is particularly compelling: a region where government will, consumer readiness, regulatory pragmatism, and institutional investment have aligned at the same moment. What is required now is the execution capability to convert that alignment into production-grade deployment. What is at stake is no small matter: the management of millions of people’s money and a battle for the competitiveness of banks on a scale rarely seen before. For those that move with urgency and discipline, the financial black swan is a transformation to be led.
Tech Features
Beyond the Transaction: Elevating the Standard for Customer Trust in the AI Era
By: Debo Zhang, CEO at HONOR GCC
In the hyper-competitive consumer technology sector, the launch of a flagship device is often treated as the finish line. However, true brand leadership is forged not in the showroom, but in the months and years that follow. At HONOR, we view the point of purchase not as a conclusion, but as day one of a long-term partnership with our users.
As we aggressively push the boundaries of intelligent hardware—from integrating Agentic OS to setting new benchmarks in physical durability and battery density—we recognize that advanced specifications represent only half of the premium equation. The other half is an unyielding commitment to the customer’s lifecycle experience. If a brand fails to support its users when they need it most, the underlying technological advancements lose their meaning.
Operationalizing Community Care
Our commitment to giving back to the GCC community dictates our operational investments. We do not just build resilient devices; we build resilient support networks designed to remove the friction of long-term ownership. Our recurring monthly Service Days are not promotional events—they are structural community investments.
By deliberately absorbing operational costs—such as completely waiving labor fees for expert repairs and offering complimentary professional device cleaning and disinfection—we ensure that maintaining a premium device remains accessible. We view ongoing device care, including free system upgrades and screen film replacements, as a fundamental responsibility rather than a secondary revenue stream.
Respecting the User’s Time and Individuality
True leadership in customer service also requires a profound respect for the user’s time and individuality. Recognizing that our customers’ lives are deeply integrated with their technology, we have designed our after-sales operations to adapt to the user, rather than forcing the user to adapt to us. Offering complimentary return shipping for repairs and providing complimentary gifts when repair timelines are extended are direct measures to eliminate inconvenience.
Furthermore, we understand that a smart device is a highly personal extension of the user. Incorporating free laser engraving and custom art back films into our regular service offerings transforms a standard maintenance visit into an opportunity for users to refresh and personalize their technology.
As the Middle East accelerates its digital transformation, consumers are demanding more than just innovation; they demand reliability, accountability, and respect. HONOR’s rapid growth across the region proves a fundamental business truth: when a technology brand prioritizes post-purchase empowerment and community care over short-term transactional gains, sustainable market leadership naturally follows.
Tech Features
Beyond Bandwidth: The Internet Foundations Behind the Next Wave of Digital Growth
By Dr Chafic Chaya, Regional Manager, Public Policy and Government Affairs, Middle East, RIPE NCC
A business launching an artificial intelligence service rarely thinks about Internet routing. A company moving its applications to the cloud does not normally ask whether its country has deployed IPv6. And when consumers make a digital payment, stream content or access an online government service, they certainly do not think about where networks exchange traffic. They notice these things mainly when something fails.
For many years, discussions around digital infrastructure focused primarily on coverage and speed. Connecting more people and businesses, expanding fibre networks and increasing mobile broadband capacity were natural priorities. Those objectives remain important, but they are no longer sufficient.
As economies become increasingly dependent on cloud computing, artificial intelligence, digital financial services, connected industries and online government services, another question is becoming just as important: can the Internet infrastructure underneath these services scale securely and remain resilient when disruption occurs?
The next phase of digital competitiveness will therefore require us to look beyond bandwidth.
From connectivity to capability
The Internet is becoming the operating environment for entire economies. Factories depend on connected systems. Financial institutions depend on real-time transactions. Governments deliver essential services digitally. Businesses increasingly rely on cloud platforms located across different networks and jurisdictions. Artificial intelligence adds another layer of demand through large-scale data processing, distributed computing and machine-generated traffic.
Connectivity is moving beyond simple availability toward quality, reliability, affordability and resilience. This shift matters because digital innovation can only scale when the underlying infrastructure scales with it.
A country may have excellent broadband coverage, but businesses will still face limitations if networks cannot exchange traffic efficiently, if addressing resources constrain future growth, if routing is vulnerable to errors or attacks or if international connectivity depends on too few pathways.
This is why digital infrastructure needs to be understood as an ecosystem rather than simply as a collection of telecom networks.
Telecom operators are essential, but no network operates alone
Telecom operators remain central to this ecosystem. They make substantial investments in fibre, mobile networks, backbone infrastructure and international capacity. Continuing those investments is essential as traffic grows and businesses demand faster and more reliable services.
But the Internet is fundamentally a network of networks. Its resilience depends not only on individual operators, but also on how networks interconnect with one another and how effectively the wider technical ecosystem functions.
Internet Exchange Points allow networks to exchange traffic locally, while data centres bring content and computing resources closer to users. Submarine cables and terrestrial routes provide international connectivity. The Domain Name System enables users to find services, and Internet Protocol addresses allow billions of devices and services to communicate. Routing systems determine how information travels between networks. Weakness in any of these layers can affect the services built above them.
This is an important distinction. Building a resilient digital economy cannot be the responsibility of telecom operators alone. It requires cooperation between network operators, Internet service providers, data centres, cloud platforms, governments, regulators and the technical community.
The invisible foundations of scalability
Some of the most important investments in the Internet receive relatively little public attention.
The Internet Protocol version 6 (IPv6) is one example. IPv6 is the latest version of the Internet Protocol. As the supply of IPv4 addresses has long been exhausted at the global level, IPv6 provides the much larger pool of Internet addresses needed for the Internet to continue expanding and for new digital services and technologies to grow, while reducing dependence on increasingly complex mechanisms used to extend the life of IPv4. For businesses, governments and operators planning for millions of additional connected devices, cloud workloads and digital services, IPv6 should increasingly be considered basic infrastructure for future growth rather than an optional technical upgrade.
Another example is routing security. Every day, networks around the world exchange information about how Internet traffic should reach its destination. Mistakes or malicious announcements can redirect traffic or make services unreachable. Resource Public Key Infrastructure (RPKI) provides a mechanism that helps network operators verify whether a network is authorised to announce particular Internet address resources.
Local interconnection is equally important. When two networks operating in the same market can exchange traffic locally through efficient interconnection and Internet Exchange Points, data may no longer need to travel thousands of kilometres through another country and a different jurisdiction before returning to nearby users. The result is lower latency, greater efficiency and improved resilience.
Internet measurement completes the picture. Policymakers and operators need reliable data to understand how traffic flows, where connectivity is concentrated, where dependencies exist and how networks react during disruptions. You cannot strengthen what you cannot see.
Resilience has a cost, but so does fragility
One of the harder questions is economic. Network redundancy costs money, as do alternative international routes. Maintaining multiple upstream connections, deploying security measures, training engineers and continuously upgrading infrastructure all require investment.
In competitive markets, operators understandably need to balance these investments against commercial realities. The solution, however, cannot simply be to minimise infrastructure costs.
Digital dependency changes the calculation. When banking, healthcare, government platforms, logistics, cloud services and business operations depend on continuous connectivity, the economic impact of prolonged disruption can quickly outweigh the cost of building greater resilience.
Failures across interconnected digital systems can cascade into other sectors. For governments and businesses, resilience should therefore increasingly be treated as an investment characteristic, not simply as an emergency response.
The objective is not to eliminate every possible failure, as no network can guarantee that. Instead, the goal is to avoid unnecessary concentration, introduce diversity wherever practical, continuously improve security and ensure that systems can recover quickly.
The Middle East is moving from adoption to infrastructure maturity
Saudi Arabia and the United Arab Emirates provide a useful example. The lesson is that Progress tends to occur when policy attention, technical capacity building and implementation by network operators reinforce one another. Infrastructure transformation is rarely achieved through regulation alone, nor through technology alone. It requires sustained cooperation between policymakers and the people who actually operate networks.
The race to build AI capacity is attracting billions of dollars in investment across our region and around the world. But compute without connectivity cannot deliver value. Connectivity without resilience cannot guarantee continuity. And infrastructure without cooperation cannot scale indefinitely. The strongest digital economies will therefore not simply be those with the most infrastructure. They will be those with Internet ecosystems that are open, interconnected, secure, scalable and resilient enough to support whatever comes next
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