The AI operating manual for revenue leaders.
What to deploy, how to roll it out, and how to prove it worked. No code required. A free, searchable library of real, sourced AI use cases in sales, customer success and RevOps, plus one weekly digest.
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Featured playbooks
Asana GTM AI engine: account POV, prospecting, and outreach in Salesforce
Reps spent ~10 hours/week researching across 8+ disconnected tools before a single touch; account prioritization and messaging were slow and inconsistent.
Result: vendor-reported (Workato customer story quoting Asana)PayPal Agentforce AI SDR on ignored merchant leads
PayPal onboards 100k+ merchants/month; ~8,000 monthly leads that stop processing were never worked by humans.
Result: operator-reported (SaaStr coverage of PayPal session)Quickbase signal-led outbound with UserGems Gem-E
Outbound signals lived in disconnected tools; SDRs spent ~2/3 of the day researching and list-building instead of selling.
Result: vendor claim (UserGems customer story)HubSpot Customer Health Agent for retention prioritization
Service teams manually review CRM activities and transcripts to spot at-risk accounts.
Pump: Clay-orchestrated ICP research, outbound, and no-show recovery
New reps took ~90 days to ramp; research and no-show follow-up were manual and inconsistent.
Result: vendor-reported (Clay customer story)SaaStr Agentforce on ghosted CRM contacts
Warm CRM contacts that human SDRs never followed up on produced zero pipeline.
Result: self-reported (SaaStr operator blog)SaaStr multi-agent GTM: 20+ agents, pipeline attribution
Leadership needed a real operating model for many specialized agents without cannibalizing inbound.
Result: self-reported (SaaStr operator blog)Vercel Lead Agent: inbound research, qualify, draft, Slack approve
Inbound lead processing required a large SDR layer for research, qualification, and first-touch email.
Result: operator-reported (third-party write-up of Vercel)Anthropic sales leader: Claude Cowork on a 4,000-account book
Enterprise sellers can’t manually research, brief, and score thousands of accounts weekly.
Result: self-reported (Anthropic company blog)Watch & Listen
The best go-to-market AI talks, podcasts and clips, with the play summarized and timestamps to the useful part.
What World-Class AI in GTM Looks Like | Kyle Norton, CRO @ Owner.com
Owner.com's CRO argues decentralized, rep-built AI rollouts underperform; build a central intelligence engine on a fully mapped, enriched market. Put ~80% of early AI effort into pipeline.
Beyond the AI Agent Hype: How Cribl Automated Executive Reporting
Cribl's strategy & ops team went from a three-day manual board deck (80+ slides) to a 10-15 minute automated workflow and reported zero data errors across three board meetings; covers build vs buy and expanding to QBRs.
E73: The AI Enabling 600 Customer-Facing Reps | Lauren Hughes, VP Revenue Effectiveness @ Justworks
Justworks cut new-hire ramp from 18 to 8 months while shrinking enablement from 16 people to 6, filling gaps with a Claude skills library fed by ride-along notes. Moving SDRs under revenue effectiveness doubled pipeline productivity.
How every entry is built
Business problem first
What broke, in the operator's words, before any tool gets named.
Effort & time to value
What it took to roll out: team, sequencing, ramp.
Results only when sourced
Numbers appear only if the source states them, labeled as self-reported or vendor claims.