Blackbaud
Competitive intelligence
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
- ~10 hours/week saved on manual research
- 28% win rate increase vs top competitors
Sellers lost hours digging for data. AI agents now generate briefs and quotes instantly via chat, cutting prep time by up to 98%.
A global cloud software provider generating over 142,000 quotes annually for its small business segment alone while managing three major product launches per year.
Sales representatives lost hours switching between disparate systems to locate information, with executive briefs taking over an hour per prospect to...
“Agentforce will be transformative for sales development. We’ll be able to scale our capacity, boost productivity, and maximize pipe and annual contract value by deploying agents against our lower-converting leads until they’re truly sales-ready.”
Salesforce's Sales process automation is part of this use case:
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Note — Salesforce is also the vendor behind this implementation.
Related implementations across industries and use cases
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
A single provider left 60% of leads blank. AI agents now scan earnings and sites, doubling coverage to 80% with systems built in hours.
Sales reps were buried in unqualified leads. An AI agent now queries 2,000+ pages to answer visitors and route only high-value buyers.
Account managers manually synthesized 50+ signals. An on-prem agent now analyzes the data to draft the pitch.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Sellers dug through scattered records for pricing and contracts. Now, they ask a voice AI to instantly generate visual dashboards.
Sellers lost hours digging for data. AI agents now generate briefs and quotes instantly via chat, cutting prep time by up to 98%.
A global cloud software provider generating over 142,000 quotes annually for its small business segment alone while managing three major product launches per year.
Sales representatives lost hours switching between disparate systems to locate information, with executive briefs taking over an hour per prospect to...
“Agentforce will be transformative for sales development. We’ll be able to scale our capacity, boost productivity, and maximize pipe and annual contract value by deploying agents against our lower-converting leads until they’re truly sales-ready.”
Salesforce's Sales process automation is part of this use case:
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Note — Salesforce is also the vendor behind this implementation.
Related implementations across industries and use cases
Ad-hoc queries cost a lone analyst 10 hours weekly. AI now synthesizes intel and pushes deal tips, boosting win rates 28%.
A single provider left 60% of leads blank. AI agents now scan earnings and sites, doubling coverage to 80% with systems built in hours.
Sales reps were buried in unqualified leads. An AI agent now queries 2,000+ pages to answer visitors and route only high-value buyers.
Account managers manually synthesized 50+ signals. An on-prem agent now analyzes the data to draft the pitch.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Static forms ignored cultural nuance. Now, AI agents speak local dialects to capture leads and automate feedback calls.
Sellers dug through scattered records for pricing and contracts. Now, they ask a voice AI to instantly generate visual dashboards.