AWR Group’s next big advantage? Using AI to spot customer friction before customers even notice
The unified CX Policy and Standards are intended to ensure that customer interactions, whether they take place in a showroom, service centre or through digital platforms
05 October, 2026
TT
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For years, customer experience has been measured by how quickly a company can respond when something goes wrong. A complaint arrives, a service issue is logged, a call is made and a solution is offered.
But that model is changing.
At AWR Group, the next frontier of customer experience is not simply fixing friction faster. It is identifying that friction before customers encounter it in the first place, using real-time customer insights, predictive analytics, artificial intelligence and a stronger data foundation to anticipate needs and reshape how the organisation makes decisions.
The shift comes as AWR Group places customer experience and AI among its strategic priorities, with the two agendas increasingly being developed as complementary parts of the same transformation.
“Technology itself does not create a competitive advantage; the advantage comes from combining AI and strong data foundations with human judgement and clear governance,” Mahesh Rohra, chief strategy officer, AWR Group, said.
That philosophy is at the centre of the group’s first unified CX Policy and Standards, designed to establish greater consistency across customer interactions while creating the data infrastructure needed to support more advanced digital capabilities.
From fragmented experiences to one customer view
As customer expectations rise across sectors, AWR Group sees consistency and trust becoming increasingly important sources of differentiation.
The group has responded by cleaning, consolidating and governing customer information into a single trusted “golden record”, reducing internal complexity while creating what it views as the foundation for advanced analytics and AI.
“Exceptional customer experience can no longer be fragmented across business units or touchpoints; it must be built on strong data foundations and clear governance,” Rohra said.
The unified CX Policy and Standards are intended to ensure that customer interactions, whether they take place in a showroom, service centre or through digital platforms, meet consistent expectations around quality, transparency and service.
The strategic significance goes beyond standardisation. With customer information unified, the organisation can potentially identify patterns across interactions that may otherwise remain hidden inside individual business units.
That creates the possibility of moving CX from a largely reactive function to a predictive one.
When AI becomes a customer-experience engine
AWR Group’s approach is not to position AI as a replacement for human interaction. Instead, the group sees technology as a way to remove operational complexity and give employees better information at the moment decisions need to be made.
“Rather than distancing us from our customers, AI eliminates operational complexity and delivers actionable customer insights at speed,” Rohra said.
The objective, he added, is to put digital capabilities into the hands of employees so they can make faster and smarter decisions while concentrating on areas where human involvement remains critical, empathy, bespoke service and trusted relationships.
That distinction could become increasingly important as AI becomes more widespread across industries. If access to AI tools becomes commonplace, technology itself may offer less differentiation. The competitive gap could instead come from how effectively companies connect those tools to reliable data, established processes and employee decision-making.
For AWR Group, that means embedding AI and automation directly into operations rather than treating them as isolated technology projects.
Predicting friction before customers feel it
The clearest expression of this strategy comes in the Group’s use of real-time customer insights and predictive analytics.
“Seamless customer experiences become the baseline expectation for modern consumers,” Rohra said. “AWR Group stays ahead of the moving bar by using real-time customer insights and predictive analytics to resolve friction points before the customer even notices them.”
That represents a fundamental change in the economics of CX.
Instead of waiting for customer feedback to reveal a problem, predictive systems can analyse operational and customer data to identify signals that may point to emerging friction. Employees can then act on those insights before the issue becomes a visible customer complaint.
The approach also connects CX directly to operational performance. Updating digital tools, standardising best practices across business units and providing employees with immediate access to data can help turn routine interactions into more personalised experiences.
Rohra said AWR Group’s market-leading Net Promoter Scores substantiate the progress of its CX transformation.
The broader ambition is to make customer experience an engine for productive growth rather than simply a measure of service quality.
From headcount-led growth to intelligence-led growth
The same principle is shaping AWR Group’s wider strategy as the UAE and the broader region undergo major economic and technological transformation.
National programmes including Vision 2030, We the UAE 2031, Operation 300bn, the National AI Strategy and UAE Net Zero 2050, alongside infrastructure developments such as Etihad Rail, are reshaping trade, connectivity and competitiveness, according to Rohra.
At the same time, traditional sector boundaries are becoming less distinct. Automotive is moving toward mobility and connectivity, logistics is evolving into data-driven platforms, while manufacturing is becoming increasingly automated and digital.
Against that backdrop, AWR Group is focusing less on expansion for its own sake and more on what Rohra describes as “productive growth”.
“Productive growth means delivering stronger margins, sharper customer insights, faster decision-making, and leaner, less complex operations,” he said.
That shift also changes how the group thinks about competitive advantage.
Rather than assuming that scale comes primarily from adding people, physical locations or assets, AWR Group is investing in capabilities that can allow the organisation to respond faster as markets evolve.
Agentic AI pushes decision-making further
Predictive analytics is only one part of that equation. AWR Group also sees Agentic AI as a technology capable of changing how work is performed and decisions are made.
According to Rohra, these technologies can transform raw enterprise data into forward-looking operational intelligence while automating complex, process-heavy activities such as inventory management, reporting and forecasting.
The result, he said, can be faster execution and less time spent by employees on repetitive work.
But the larger opportunity lies beyond automation.
“By synthesising vast market signals, internal knowledge, and operational data into clear, actionable insights, predictive technologies enable teams to navigate complex choices much faster,” Rohra said.
That model keeps human judgement at the centre while giving decision-makers a much larger and faster flow of information.
The biggest AI challenge is not the technology
The UAE’s AI opportunity is already drawing significant economic attention, with 2025 industry estimates cited by AWR Group suggesting AI could contribute around US$100bn to the country’s GDP by 2030.
For businesses, however, widespread access to AI may make implementation less of a technology race and more of an execution challenge.
“The real differentiator will not be access to technology, but the ability to deploy it responsibly and effectively,” Rohra said.
That requires clean and connected data, governance, redesigned workflows and employees who are comfortable using AI alongside their own judgement.
Without those foundations, companies can end up with disconnected pilots, inconsistent outputs and limited returns. With them, AI can become a repeatable enterprise capability supporting productivity, forecasting, decision-making and customer relevance.
People remain at the centre of the transformation
For all the focus on AI, AWR Group identifies employee adoption as the decisive factor in whether digital transformation delivers lasting value.
“Technology itself does not generate value; value is created when people understand, trust, and actively use these tools to improve their daily work,” Rohra said.
The Group is therefore combining technology deployment with learning and adoption initiatives, including the rollout of Gemini Enterprise, dedicated learning and development programmes and an internal AI Champions network.
The objective is to encourage peer-to-peer learning and practical experimentation, while allowing employees to combine professional expertise with digital tools.
That people-first approach reflects the central idea behind AWR Group’s CX strategy: technology works best when it strengthens human decision-making rather than attempting to replace it.
Building capabilities for a changing region
AWR Group is also translating its broader technology strategy into customer-facing propositions, including AWR Pay and AWR Charge+.
The initiatives form part of a wider effort to prepare for a business environment in which today’s competitors may not necessarily come from traditional industry categories.
“Tomorrow’s competitors may emerge from sectors that barely intersect today,” Rohra said.
Rather than trying to predict every market movement, the group is focusing on building the internal capabilities needed to respond when those movements occur.
That includes AI, automation, data governance, operational agility and a workforce capable of combining digital capability with human judgement.
In that environment, customer experience becomes more than a service metric. It becomes an early-warning system, a source of intelligence and potentially a mechanism for discovering what customers need before they have to articulate it.
The corporate competition of the next decade may therefore be defined by a deceptively simple question: who can understand the customer soonest?
For AWR Group, the answer lies in bringing together data, AI and human judgement, not to make customer relationships less human, but to give people the intelligence to make those relationships more relevant, responsive and enduring.
