DEWA's AI answered questions but couldn't close jobs. Agentic models now handle what 16 coordinators managed — end-to-end, no handoffs.
Dubai's government electricity and water authority, operating 21 public services that process 13.3 million financial transactions annually, with a stated roadmap targeting the world's first AI-native utility.
Existing AI tools could answer questions or assist users but couldn't autonomously execute tasks or complete operations end-to-end. Key processes...
“We are proud that DEWA is one of the first government organisation in the UAE to deploy these technologies at such an advanced level, driving the transition from AI models that support users and provide information to models capable of autonomously executing tasks and operations end-to-end.”
Also reported by
Sole provider of electricity and water services in Dubai.
Dubai Electricity and Water Authority's Service automation is part of this use case:
Related implementations across industries and use cases
Eight reviewers, 3 hours per document; hiring ran 7 days. AI agents now handle legal in 15 minutes and hiring in one—all 30 built in-house.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Case by case, bill disputes needed detailed human analysis—slow and inconsistent. An AI agent now resolves each from start to finish.
A call center and rigid FAQ bot couldn't support a multilingual customer base. Now, an AI assistant provides 24/7 help in multiple languages.
Most employees couldn't reach the data without an analyst. Refinery experts now build soft sensors through conversation, no code needed.
Finance hunted IBANs by hand; legal had no self-service; HR drowned in FAQs. Six AI agents—one chat interface—freed 7,500 hours annually.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
DEWA's AI answered questions but couldn't close jobs. Agentic models now handle what 16 coordinators managed — end-to-end, no handoffs.
Dubai's government electricity and water authority, operating 21 public services that process 13.3 million financial transactions annually, with a stated roadmap targeting the world's first AI-native utility.
Existing AI tools could answer questions or assist users but couldn't autonomously execute tasks or complete operations end-to-end. Key processes...
“We are proud that DEWA is one of the first government organisation in the UAE to deploy these technologies at such an advanced level, driving the transition from AI models that support users and provide information to models capable of autonomously executing tasks and operations end-to-end.”
Also reported by
Sole provider of electricity and water services in Dubai.
Dubai Electricity and Water Authority's Service automation is part of this use case:
Related implementations across industries and use cases
Eight reviewers, 3 hours per document; hiring ran 7 days. AI agents now handle legal in 15 minutes and hiring in one—all 30 built in-house.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Case by case, bill disputes needed detailed human analysis—slow and inconsistent. An AI agent now resolves each from start to finish.
A call center and rigid FAQ bot couldn't support a multilingual customer base. Now, an AI assistant provides 24/7 help in multiple languages.
Most employees couldn't reach the data without an analyst. Refinery experts now build soft sensors through conversation, no code needed.
Finance hunted IBANs by hand; legal had no self-service; HR drowned in FAQs. Six AI agents—one chat interface—freed 7,500 hours annually.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.