Complex email chains bottlenecked utility agents. AI now summarizes 55k threads monthly, cutting handling time by 87%.
A SaaS platform providing extended-relationship-management solutions to over 170 energy sector customers, including utilities, grid operators, and solution providers.
In energy sales and service, email threads accumulate quickly as transactions grow complex. Employees had to read through lengthy chains to identify...
“Using AI summaries, our users save 87 percent of their time.”
XRM and process automation platform for energy suppliers and grid operators.
Cloud computing platform and on-demand infrastructure services.
Epilot's Email summarization is part of this use case:
Related implementations across industries and use cases
Educators struggled to spot at-risk students in scattered records. Now, AI drafts 250-word summaries, helping staff double daily reviews.
Across 120 markets, fixed dispatch couldn't track pricing shifts or personal goals. AI now adapts to each grid, each user, each goal.
Generic energy tips ignored smart meter data. Now, AI analyzes 48 daily readings per customer to write personalized savings advice.
Agents juggled disconnected systems while customers repeated themselves. AI now surfaces the full picture on arrival—handling time down 30%.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
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.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Complex email chains bottlenecked utility agents. AI now summarizes 55k threads monthly, cutting handling time by 87%.
A SaaS platform providing extended-relationship-management solutions to over 170 energy sector customers, including utilities, grid operators, and solution providers.
In energy sales and service, email threads accumulate quickly as transactions grow complex. Employees had to read through lengthy chains to identify...
“Using AI summaries, our users save 87 percent of their time.”
XRM and process automation platform for energy suppliers and grid operators.
Cloud computing platform and on-demand infrastructure services.
Epilot's Email summarization is part of this use case:
Related implementations across industries and use cases
Educators struggled to spot at-risk students in scattered records. Now, AI drafts 250-word summaries, helping staff double daily reviews.
Across 120 markets, fixed dispatch couldn't track pricing shifts or personal goals. AI now adapts to each grid, each user, each goal.
Generic energy tips ignored smart meter data. Now, AI analyzes 48 daily readings per customer to write personalized savings advice.
Agents juggled disconnected systems while customers repeated themselves. AI now surfaces the full picture on arrival—handling time down 30%.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
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.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.