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 Middle East’s Digital Boom Is Creating A New Visibility Challenge
By Gaurav Mohan, SVP Sales – APAC, India, Middle East & Africa, NETSCOUT
The Middle East is building one of the world’s most advanced digital economies. Across the UAE, Saudi Arabia, Qatar and the wider Gulf, artificial intelligence is moving from experimentation into production. Sovereign cloud strategies are reshaping infrastructure. 5G is powering smart cities,, autonomous services and new digital business models. Yet as organisations accelerate innovation, many are struggling to maintain visibility across these digital infrastructures that gives them the knowledge they need to manage, control and protect their business.
Today’s digital services rarely operate within a single environment. Applications, workloads and services are spread across sovereign clouds, hyperscalers, regional data centres, telecommunications networks and edge environments, each generating its own telemetry, tools and operational workflows. As a result, organisations often gain more data but less understanding of how their services actually behave end to end.
According to Enterprise Management Associates’ Network Management Megatrends 2026 report, 51 percent of enterprises now manage four or more distinct network domains, 38 percent of organisations lack end-to-end visibility across their network domains and even 24 percent acknowledge having areas where their monitoring tools cannot see at all. This highlights a growing paradox that organisations are rich in data but poor in visibility.
That means decisions are made using incomplete information. Incident response slows down, operational risk increases, and it becomes even harder to protect the customer experience. In the Gulf, the challenge is particularly relevant. As data is increasingly localised to meet regulatory obligations, applications and workloads naturally cluster around where that data resides. While this strengthens governance and compliance, it can also fragment visibility if organisations lack a consistent view across multiple environments.
Often the most valuable operational and security information never travels between users and applications. It moves silently between cloud workloads, databases, APIs and servvices inside the infrastructure itself. If organisations cannot observe and understand these interactions, they miss the activity that often matters most.
The conversation is no longer simply about visibility. It is about whether organisations can trust the data used to make operational and AI-driven decisions. The question that must be answered is do they have the trusted operational data that is the authoriative network evidence that gives them the certainty they need to make better, smarter decisions – faster.
High-fidelity network data provides a more accurate and consistent view of network activity, helping teams fill the gaps left by logs, metrics and sampled telemetry. It enables organisations to move beyond assumptions and approximations, allowing teams to understand events as they occur and investigate them with confidence.
The most authoritative source of network intelligence comes directly from network packets, providing an independent record of how applications, infrastructure and users actually interact. Rather than relying solely on sampled metrics or instrumented logs, it gives teams evidence grounded in observed network activity. The result is a clearer understanding of both operational and security events.
In the Middle East, where regulatory expectations continue to evolve and data sovereignty remains a priority, that level of accuracy carries particular importance. Organisations are increasingly expected to demonstrate resilience, accountability and operational transparency. Meeting those expectations becomes significantly harder when visibility is incomplete.
AI does not eliminate operational uncertaity. In fact, it magnifies and can force-multiply whatever uncertainty already exists. Feed AI incomplete or inconsistent data and it simply automates bad decisions faster. Feed it complete, contextual and trusted network intelligence, and AI becomes more accurate, responsive and reliable.
The Middle East has invested heavily in building world-class digital infrastructure. As AI, sovereign cloud and connected services continue to expand, organisations tha combine comprehensive visibility with trusted, high-fidelity network intelligence will be able to thrive. In the next phase of digital transformation, success will be defined not simply by how much infrastructure organizations build, but by how clearly they can see, understand and act across it with confidence.
Tech Features
WHY EXCEPTIONS, NOT INVOICES, ARE COSTING FINANCE TEAMS THE MOST

By Ionut Valentin Sas, SVP Finance, UiPath
Across the GCC, processing standard invoices has become relatively straightforward. Routine invoices are no longer the problem. The real bottleneck begins the moment an invoice falls outside the expected workflow, whether that is a mismatched PO, a missing approval, incorrect coding or a supplier query. From there, the process spills into email threads and spreadsheets, and finance teams pay for it in delayed cash flow, missed early payment discounts, strained supplier relationships and tied-up working capital. The invoice itself was never really the problem. The problem is what happens when it does not follow the usual pattern.
The Trouble with Exceptions
Straight-through processing, where an invoice moves from receipt to payment without human intervention, has been one of finance teams’ most effective ways to handle higher invoice volumes at lower cost. Companies like Canon have reported up to 90 percent STP for certain invoice types.
Yet according to Ardent Partners’ State of ePayables report, even top-performing AP teams only reach around a third. That gap reflects a shift already under way in accounts payable. As routine invoices increasingly process themselves, less time goes into verifying standard transactions, and more of the team’s effort shifts toward judgment, coordination and resolving what falls outside the pattern, such as invoices missing a PO, mismatched purchase orders, supplier follow-ups and approval bottlenecks.
Most automation was built for the predictable majority of transactions. The remaining cases still get routed back to people, with no system designed to resolve them faster or more consistently. Resolving an exception often means pulling information together from ERP systems, procurement platforms, contracts, past transactions and supplier communications before a decision can be made. The challenge is rarely a lack of information. It’s that the information sits across multiple systems and requires someone to piece it together before a decision can be made. That’s where most of the time is lost.
Invoicing in the UAE
The UAE’s move toward mandatory e-invoicing is one of the clearest signals of this shift. For many organisations, this transition will expose processes that have remained largely hidden while invoices were handled manually. Standardised, machine-readable invoices make routine processing easier, but they also shine a light on the exceptions that continue to require human intervention. As a result, organisations have an opportunity to redesign how those exceptions are managed, rather than simply digitising existing processes. The mandate requires structured, machine-readable invoices in place of the PDFs and spreadsheets many finance teams still rely on, and it is pushing organisations to take a hard look at how they handle exceptions today.
Compliance is only the starting point. The bigger opportunity is using this transition to modernise broader finance operations and rethink how exceptions get managed, not just to meet the regulatory deadline.
The Importance of Governance
As more of this resolution work shifts to AI agents, visibility, auditability and control become essential. Governance is not there to slow decisions down. It is what gives organisations the confidence to automate lower risk work while keeping higher risk decisions transparent, explainable and subject to human oversight. Done well, orchestration keeps people in charge of decisions, not just faster at processing them. That becomes increasingly important as finance teams automate larger parts of the invoice lifecycle. Confidence in AI comes not from removing people altogether, but from knowing when human judgement should remain part of the process.
The UAE’s e-invoicing mandate makes this need for governance harder to ignore. But governance should not be seen as a brake on AI adoption. It is what makes that adoption trustworthy.
The Shift Finance Leaders Must Make
The old mindset was to automate invoices. The new one is to resolve exceptions.
That is the shift finance leaders now need to make, treating exception management as the next frontier in finance automation rather than an afterthought bolted onto invoice processing. The foundation for that shift is orchestration, bringing people, systems and AI agents together around each exception instead of simply flagging it for someone to pick up later.
AI agents can do much of the groundwork before a person is even involved, gathering supporting information, analysing how similar cases were resolved in the past, recommending next steps and drafting supplier communications. That does not replace judgment. It means the judgment that does happen is faster and better informed. The organisations that gain the greatest advantage will not necessarily be those processing the highest number of invoices automatically. They will be those that can resolve exceptions quickly, consistently and with the right level of oversight, turning what has traditionally been a source of delay into a competitive advantage. The GCC built its reputation in digital government and public services by fixing what was not working, not by polishing what already was. Finance now has the same opportunity in front of it. The invoices were never the hard part. The exceptions are, and the organisations that get ahead of them will be the ones setting the pace for the next phase of digital invoicing in the region.
Tech Features
THE BEAUTIFUL GAME, FOR EVERYONE: HOW TECHNOLOGY REWROTE THE RULES OF FOOTBALL FANDOM
By: Jason Ou, President at Hisense MEA
As the FIFA World Cup 2026 final approaches this week, we reflect on a tournament that transformed how millions experienced the sport, from living room stadiums to quiet spaces in packed arenas
As we count down the final hours before this week’s showpiece final, the FIFA World Cup 2026 has delivered 103 matches across 16 cities, and with it, a reimagining of what “experiencing football” means. Hisense served as the official and exclusive Video Assistant Referee (VAR) Review TV Provider for the entire tournament across the United States, Canada, and Mexico. Every controversial offside call. Every penalty review that had fans screaming at their screens. Every red card confirmation that shifted the momentum of a knockout match. The technology referees used to make those match-defining decisions ran on Hisense RGB MiniLED displays. The Video Operation Room in Zurich was upgraded specifically with these screens because VAR officials needed “clear and authentic restoration of live match footage.”
And it delivered.
Two parallel revolutions unfolded across this tournament: one that transformed homes into legitimate viewing destinations, and another that finally opened stadium doors to millions who’d been locked out for decades.
Hisense made an argument before kickoff: the home viewing experience could, in some ways, surpass what you’d get at the stadium itself. If the technology was precise enough for officiating decisions scrutinized by billions and debated across social media within seconds, it was good enough for living rooms worldwide.
For those who invested in the L9Q TriChroma Laser TV, everyday living spaces became premium match-day destinations throughout the tournament. With ultra-large displays up to 200 inches, fans followed every run, pass, tackle, and goal with remarkable clarity.
The flagship UXS RGB MiniLED TV, powered by breakthrough RGB MiniLED technology that delivers exceptional color accuracy, brightness, and contrast, brought fans closer to every moment on the pitch and created a more immersive and lifelike viewing experience for sports, entertainment, and gaming.
The Party Everyone Could Finally Join
For millions of fans living with autism, PTSD, dementia, anxiety, and other sensory processing conditions, the stadium experience had remained firmly out of reach, a party they could hear from outside but never truly join. This tournament changed that.
At this year’s tournament, all 16 host stadiums featured dedicated sensory rooms, making this the first-ever Sensory Inclusive FIFA World Cup. Hisense collaborated with FIFA and KultureCity to install these spaces across every venue in the United States, Canada, and Mexico, and they were used.
As Hisense continues pushing boundaries, making every match feel bigger, every celebration more immersive, and every memory more unforgettable, one truth has emerged from this tournament: the hierarchy of World Cup viewing has been expanded, making room for everyone who loves the beautiful game.
This week, as billions watch the final from living rooms with 300-inch screens and fans with sensory needs take their seats in the stadium, football’s promise will be fulfilled. The beautiful game. Finally, for everyone.
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