AI Agents
Outbound that runs itself
AI agents that research accounts, find verified contacts, craft personalized outreach, and execute multi-channel sequences—all powered by complete customer context. Your SDRs focus on conversations, not data entry.
1
Research takes more time than selling
Your SDRs spend 60% of their day on research and data entry. Finding contacts. Verifying emails. Researching companies. Logging activity. That's not what you're paying them for.
2
"Personalization" that isn't personal
You bought an AI writing tool. It generates emails from LinkedIn scraped data. Problem: so does everyone else. Your "personalized" outreach sounds exactly like every other AI-generated email flooding inboxes.
3
Point solutions create fragmented execution
You have Clay for enrichment. Outreach for sequences. ZoomInfo for contacts. 6sense for intent. Nothing talks to each other. Your SDRs are the integration layer, copy-pasting between tabs all day.
AI agents analyze target accounts—financials, news, hiring patterns, tech stack, competitive landscape, recent announcements. Complete dossiers generated automatically.
Agents identify the right contacts in the buying committee, then use waterfall enrichment to get verified emails and direct dials. No more bounced emails or disconnected numbers.
Agents have access to your complete data—CRM history, previous interactions, product usage, support tickets. Personalization isn't "I saw your LinkedIn post." It's "I noticed your team expanded the pilot last quarter and you've been researching our competitor.
Agents execute across channels based on engagement signals. No response to email? Trigger a LinkedIn connection. Clicked but didn't reply? Queue for a call. Everything coordinated, nothing siloed.
Automatically generate comprehensive account profiles: company overview, key metrics, recent news, competitive landscape, hiring trends, tech stack analysis, financial signals.
Identify the buying committee for your solution. Map roles to personas. Find verified contact information through waterfall enrichment across 150+ providers.
Generate personalized emails using account research + contact context + your messaging framework. Maintain brand voice. Include relevant case studies and social proof.
Execute multi-step sequences across email, LinkedIn, and phone. Adapt based on engagement signals. Handle timing, follow-ups, and channel rotation automatically.
Triage responses. Identify positive replies vs. objections vs. auto-replies vs. unsubscribes. Route conversations appropriately. Suggest response drafts for your team.
When interest is confirmed, handle scheduling. Send calendar links. Confirm meetings. Add relevant context and talking points for the rep taking the meeting.
- Pull list from ZoomInfo
- Research accounts manually (30 min each)
- Find contacts in LinkedIn Sales Navigator
- Verify emails in a separate tool
- Write "personalized" emails one by one
- Load into Outreach
- Execute sequence
- Hope something works
- Repeat forever
- Define ICP, agents build the list
- AI research runs automatically
- Contacts found and verified in seconds
- Personalization uses complete context
- Sequences execute across channels
- Engagement triggers human handoff
- Reps focus on conversations
- Pipeline builds itself
Use cases
3x
pipeline per SDR, no additional headcount
VP of Sales at a Series B startup
5x
response rate on signal-triggered outbound
Head of Demand Gen at an enterprise software company
500
accounts getting enterprise-level attention, 40% increase in target account engagement
CMO at a mid-market company
Rachel Kim
VP of Sales Development
Agents pull context from everywhere you have data. Agents execute everywhere your team works.
See how AI agents handle research, personalization, and execution—so your team focuses on closing.
