Globant, Aldar Properties Deploy AI Agents for CX

What happened

Globant, the global digital and AI engineering company, has partnered with Aldar Properties, Abu Dhabi's largest listed real estate developer, to deploy AI-powered agents aimed at reshaping how Aldar serves its customers. The collaboration applies Globant's AI capabilities to customer-facing processes across Aldar's property and services portfolio.

Details of the specific use cases, rollout timeline and scale of deployment have not been disclosed in initial reporting. The announcement signals a broader move by Aldar to embed AI agents into its customer experience operations, extending beyond conventional digital channels such as apps and call centres.

Why it matters

For real estate and property-services operators, AI agents represent a shift from static digital self-service towards more conversational, context-aware interactions — potentially spanning enquiries, transactions, maintenance requests and after-sales support. A large, diversified developer like Aldar adopting this approach suggests AI agents are moving from pilot projects to core infrastructure in sectors where customer relationships span years, from initial property search through ownership and community living.

For technology and experience leaders more broadly, the partnership is a reminder that AI-agent deployments increasingly hinge on the pairing of a global engineering partner's platform capability with a large enterprise's domain knowledge and customer base — a model likely to recur across MENA's property, hospitality and public-sector markets as organisations look to modernise service delivery.

The Renascence take

Announcements like this tend to be judged on the promise of "AI-powered agents" rather than on what actually changes for the person on the other end of the interaction. The real test isn't whether Aldar has agents — it's whether those agents resolve issues faster, reduce effort, and are trusted enough that customers choose them over calling a human.

Most organisations under-invest in the unglamorous part of agentic AI: defining which moments genuinely benefit from automation versus which ones need a human, and designing graceful handoffs between the two. A property transaction is high-stakes and emotionally loaded — the operators who win with AI agents here won't be the ones with the flashiest bot, but the ones who use AI to remove friction from the boring 80% of interactions so human attention is reserved for the 20% that actually needs judgement and empathy. Aldar and Globant's next disclosures — adoption rates, resolution times, customer sentiment — will tell us far more than the announcement itself.