Sellers managing 1M+ leads lost hours to manual research and deck prep. Now, AI generates tailored emails and pitch decks in minutes.
A digital workflow software provider with over 2,000 global sellers processing more than a million leads annually.
Sellers struggled with disconnected data systems and batch-processing cycles that severely delayed lead follow-up. Manual workflows dragged down deal...
“Azure Databricks helps us go from idea to production faster. Azure Databricks took us from waiting on data to acting on it—now, our sellers move faster and our deals close smarter.”
ServiceNow is an enterprise software company that specializes in IT Service Management, cloud computing, and digital transformation solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
ServiceNow's Sales automation is part of this use case:
Related implementations across industries and use cases
Reps lost hours manually assessing leads across disconnected systems. Now, AI agents evaluate intent and instantly route top prospects.
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
Sales reps navigated 9 disjointed tools to research accounts. Now, an AI app instantly generates insight decks for reps to review.
Siloed data capped Recharge at one quarterly campaign. AI now unifies usage signals to trigger eight personalized campaigns at once.
Mapping which companies built vs. bought AI agents would have taken months. Clay mined job postings and 10-Ks to rank 13K accounts in days.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Sellers managing 1M+ leads lost hours to manual research and deck prep. Now, AI generates tailored emails and pitch decks in minutes.
A digital workflow software provider with over 2,000 global sellers processing more than a million leads annually.
Sellers struggled with disconnected data systems and batch-processing cycles that severely delayed lead follow-up. Manual workflows dragged down deal...
“Azure Databricks helps us go from idea to production faster. Azure Databricks took us from waiting on data to acting on it—now, our sellers move faster and our deals close smarter.”
ServiceNow is an enterprise software company that specializes in IT Service Management, cloud computing, and digital transformation solutions.
Enterprise software, cloud infrastructure, and consumer electronics platform.
ServiceNow's Sales automation is part of this use case:
Related implementations across industries and use cases
Reps lost hours manually assessing leads across disconnected systems. Now, AI agents evaluate intent and instantly route top prospects.
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
Sales reps navigated 9 disjointed tools to research accounts. Now, an AI app instantly generates insight decks for reps to review.
Siloed data capped Recharge at one quarterly campaign. AI now unifies usage signals to trigger eight personalized campaigns at once.
Mapping which companies built vs. bought AI agents would have taken months. Clay mined job postings and 10-Ks to rank 13K accounts in days.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.