Routine requests buried support staff. AI agents now resolve 71% of cases autonomously, from billing answers to smart charging setup.
A European energy infrastructure leader covers the entire value chain from production to sales with $12 billion in annual investments toward carbon neutrality.
Customer inquiries shifted from simple supply questions to complex topics like flexible contracts and EV charging, creating a volume of routine...
“A customer’s needs today are far more advanced than they were just 10 years ago. When autonomous AI exploded, our customers started to expect the same level of capability in the solutions we provide. We had to accelerate our AI journey to make it truly conversational.”
Global energy utility providing renewable power, natural gas, and infrastructure services.
Launched a proof of concept for Agentforce and delivered improvements using an agile approach.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
ENGIE's Customer support automation is part of this use case:
Related implementations across industries and use cases
Agents dug through a vast catalog for answers. Now, AI preps calls and surfaces instant insights for 300 remote employees.
A legacy bot passed 50% of chats to staff. Now, AI agents connect 62 databases to resolve 87% of inquiries autonomously.
Four separate portals slowed resolution for 50,000 staff. A GenAI agent in Teams now resolves queries instantly in 17 languages.
A legacy bot passed 50% of chats to staff. Now, AI agents connect 62 databases to resolve 87% of inquiries autonomously.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
350,000 track images reviewed by hand each month, always chasing failures. TrackDefectX now catches defects before they escalate.
Finance, supply chain, and field data scattered across cloud and on-prem systems—no unified view of profitability. One lakehouse, real-time.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Routine requests buried support staff. AI agents now resolve 71% of cases autonomously, from billing answers to smart charging setup.
A European energy infrastructure leader covers the entire value chain from production to sales with $12 billion in annual investments toward carbon neutrality.
Customer inquiries shifted from simple supply questions to complex topics like flexible contracts and EV charging, creating a volume of routine...
“A customer’s needs today are far more advanced than they were just 10 years ago. When autonomous AI exploded, our customers started to expect the same level of capability in the solutions we provide. We had to accelerate our AI journey to make it truly conversational.”
Global energy utility providing renewable power, natural gas, and infrastructure services.
Launched a proof of concept for Agentforce and delivered improvements using an agile approach.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
ENGIE's Customer support automation is part of this use case:
Related implementations across industries and use cases
Agents dug through a vast catalog for answers. Now, AI preps calls and surfaces instant insights for 300 remote employees.
A legacy bot passed 50% of chats to staff. Now, AI agents connect 62 databases to resolve 87% of inquiries autonomously.
Four separate portals slowed resolution for 50,000 staff. A GenAI agent in Teams now resolves queries instantly in 17 languages.
A legacy bot passed 50% of chats to staff. Now, AI agents connect 62 databases to resolve 87% of inquiries autonomously.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
350,000 track images reviewed by hand each month, always chasing failures. TrackDefectX now catches defects before they escalate.
Finance, supply chain, and field data scattered across cloud and on-prem systems—no unified view of profitability. One lakehouse, real-time.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.