Campaigns took 60 days of manual handoffs. Agentic AI now automates the workflow, launching contextual triggers in one day.
A leading UK financial institution serving 18 million customers with a digital foundation capable of providing a 360-degree view of client data.
Launching a simple customer campaign took 60 to 100 days due to a complex web of data platforms and manual handoffs. Staff struggled with hundreds of...
“If you start to see customers in a more complete way and focus on helping them across their life cycle, you unlock a tremendous amount of value.”
NatWest Group's Customer engagement automation is part of this use case:
Retail, commercial, and private banking services for customers in the UK and Ireland.
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.
Agents manually customized templates for inquiries. Now, AI drafts replies for review, freeing staff for complex cases.
Agency reliance bottlenecked testing for months. Custom GPTs brought creative in-house, cutting feedback loops to days.
Fragmented platforms delayed campaigns. Now, marketers use AI to process millions of trade events, launching real-time engagement in hours.
Marketers waited weeks for static segments. AI agents now build audiences from live data, cutting launch times to hours.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Campaigns took 60 days of manual handoffs. Agentic AI now automates the workflow, launching contextual triggers in one day.
A leading UK financial institution serving 18 million customers with a digital foundation capable of providing a 360-degree view of client data.
Launching a simple customer campaign took 60 to 100 days due to a complex web of data platforms and manual handoffs. Staff struggled with hundreds of...
“If you start to see customers in a more complete way and focus on helping them across their life cycle, you unlock a tremendous amount of value.”
NatWest Group's Customer engagement automation is part of this use case:
Retail, commercial, and private banking services for customers in the UK and Ireland.
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.
Agents manually customized templates for inquiries. Now, AI drafts replies for review, freeing staff for complex cases.
Agency reliance bottlenecked testing for months. Custom GPTs brought creative in-house, cutting feedback loops to days.
Fragmented platforms delayed campaigns. Now, marketers use AI to process millions of trade events, launching real-time engagement in hours.
Marketers waited weeks for static segments. AI agents now build audiences from live data, cutting launch times to hours.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.