Most B2B sales teams waste 40-60% of their outreach calling the wrong people - assistants, junior staff, or contacts who left the company months ago. Finding the actual decision-maker with budget authority takes 3-4 hours of research per qualified contact.
Most B2B sales teams waste 40-60% of their outreach calling the wrong people - assistants, junior staff, or contacts who left the company months ago. Finding the actual decision-maker with budget authority takes 3-4 hours of research per qualified contact.
Here's what's actually happening:
| Factor | Traditional Method | AI Method |
|---|---|---|
| Approach | Buy ZoomInfo or Apollo lists, manually verify contacts on LinkedIn, cold call through gatekeepers hoping to reach decision-makers | AI maps organizational structures, verifies current roles and tenure, identifies budget authority, and provides direct contact information with 95%+ accuracy |
| Time Required | 15-20 hours/week per SDR on contact research | 2-3 hours/week strategic oversight |
| Cost | $12,000-18,000/month (database subscriptions + SDR time + tools) | $3,000-4,500/month all-in |
| Success Rate | 40-60% contact accuracy, 8-12 decision-maker conversations per week | 95%+ contact accuracy, 40-50 decision-maker conversations per week |
| Accuracy | 40-60% of contacts are current and correct | 95%+ contacts are current, verified, and have decision authority |
Only 17% of buyers
Want to talk to a salesperson during the awareness stage. But 82% want to engage once they've identified a problem. Finding decision-makers at the right moment in their buying journey increases conversion by 3-4x.
Gartner B2B Buying Journey Survey 2024
Average of 6.8 stakeholders
Are now involved in B2B purchase decisions, up from 5.4 in 2019. AI contact finding identifies the entire buying committee, not just one contact, so you can orchestrate multi-threaded outreach.
Gartner B2B Buying Study
45% of contact data
In traditional databases becomes outdated every year due to job changes, promotions, and company moves. AI contact finding verifies data in real-time, ensuring you're always reaching current decision-makers.
HubSpot Sales Data Quality Report
Sales reps spend only 28%
Of their week actually selling - the rest is research, admin, and chasing wrong contacts. AI contact finding eliminates 80% of research time, letting reps focus on high-value conversations.
Salesforce State of Sales Report 2024
AI maps organizational structures, verifies current roles and tenure, identifies budget authority, and provides direct contact information with 95%+ accuracy
The key difference: AI doesn't replace the human element - it handles the low-value research work so experienced reps can focus on high-value strategic calls.
We don't just find 'VP of Sales' - we map the entire revenue organization to understand reporting lines. A VP Sales reporting to a CRO has different authority than one reporting to the CEO. We identify who actually controls budget and can sign contracts, not just who has an impressive title.
A VP who started 3 months ago is still learning the business and building credibility. One who's been in role 18+ months has established authority and likely has budget allocated. We analyze LinkedIn history, press releases, and company announcements to verify tenure and identify decision-makers who are ready to engage.
Not all VPs control budgets. We look for signals like: mentions in funding announcements, quotes in press releases about strategic initiatives, LinkedIn posts about hiring or expansion, and job postings they're associated with. These indicate who's actually driving spending decisions.
We don't just find email patterns - we verify deliverability in real-time. Phone numbers are validated against multiple sources and checked for recent activity. We identify direct dials vs. switchboard numbers. The result: 95%+ of contacts actually connect, not bounce or go to voicemail.
Modern B2B purchases involve 6-8 stakeholders. We map the entire buying committee: economic buyer (signs contract), technical buyer (evaluates solution), user buyer (will use product), and influencers. You get a complete org chart with contact info for multi-threaded outreach.
We analyze recent activity to identify decision-makers who are actively researching solutions. LinkedIn posts about challenges, job changes in their team, company growth signals, and technology changes all indicate readiness to engage. We prioritize contacts showing active buying signals.
Whether you use us, build in-house, or choose a competitor - ask these questions to avoid wasting time on wrong contacts and bad data.
Most databases update quarterly at best. Ask: How often is contact data refreshed? What's the verification process? What happens when someone changes jobs? A contact that was accurate 3 months ago is likely wrong today. Real-time verification is the difference between 95% accuracy and 45%.
A 'VP of Sales' at a 50-person company has very different authority than one at a 5,000-person enterprise. Ask: How do you determine who actually controls budget? Can you identify reporting structures? Do you distinguish between influencers and decision-makers? Title alone tells you nothing about buying power.
Single-threaded deals die when your champion leaves or loses internal support. Ask: Can you map all stakeholders involved in purchase decisions? Do you identify technical buyers, economic buyers, and influencers? Multi-threaded outreach increases win rates by 60-80%.
Scraped LinkedIn data is often wrong. Ask: Where does contact info come from? How is it verified? What's your bounce rate on emails and wrong numbers on calls? If they won't share accuracy metrics, assume the data is poor quality.
Companies reorganize, people get promoted, roles change. Ask: How quickly do you detect job changes? What happens when a contact leaves the company? Do you automatically find their replacement? Stale data wastes 40-60% of your team's time.
A $60M manufacturing software company had 4 SDRs spending 60% of their time researching contacts. They'd pull lists from ZoomInfo, cross-reference LinkedIn, Google executives, and still end up calling assistants or people who'd left the company. Of 800 dials per week, only 80 reached actual decision-makers - a 10% success rate. The team was frustrated, turnover was high, and pipeline was unpredictable because they never knew who they'd actually reach.
Within 2 weeks of implementing AI contact finding, their connection rate jumped to 47% - nearly 5x improvement. More importantly, 95% of conversations were with verified decision-makers who had budget authority. SDRs went from spending 24 hours/week on research to 3 hours on strategic planning. Pipeline quality transformed because every conversation was with someone who could actually buy. Their AEs reported that deals moved 40% faster because they were multi-threading from day one.
Week 1: AI mapped organizational structures for 2,400 target accounts, identifying 8,200 potential decision-makers across buying committees
Week 2: Contact verification completed - 7,800 contacts had verified phone numbers and emails (95% accuracy)
Week 3: First outreach campaign launched with complete buying committee maps for each account
Week 4: Connection rate hit 47% (vs. 10% before), with 95% of conversations reaching actual decision-makers
Month 2+: Multi-threaded outreach strategy deployed, reaching 3-4 stakeholders per account simultaneously
We've spent 3 years building AI that maps organizational structures, verifies contacts in real-time, and identifies actual budget authority - not just impressive titles. You get verified decision-maker contacts and meetings starting in week 2, not 12-18 months from now after building it yourself.
Working with Fortune 500 distributors and semiconductor companies. Same system, your prospects.
Get Started →Stop calling assistants and junior staff. Here's how AI identifies who actually has budget authority and decision power.
AI works with any account list - your CRM, target account list, or just company names. Even if you only know the company, AI will map the entire decision-making structure.
AI analyzes LinkedIn, company websites, press releases, and org charts to understand reporting lines. We identify who reports to whom, which departments control budget, and where buying authority actually sits.
From each account, AI identifies 6-8 stakeholders: economic buyer (signs contract), technical buyer (evaluates solution), user buyers (will use product), and influencers. You get complete contact info for multi-threaded outreach.
Finding a name is easy. Finding their current, working phone number and email is the hard part AI solves.
VP Sales - Sarah Chen: LinkedIn shows she's VP Sales, but she left the company 4 months ago
CRO - Michael Torres: Email pattern suggests mtorres@company.com, but it bounces - he uses m.torres@company.com
VP Revenue Ops - Jennifer Park: Phone number in database goes to main switchboard, not her direct line
SVP Sales - David Kumar: Current role verified, direct dial confirmed, email validated = Perfect contact!
AI monitors LinkedIn, company announcements, and press releases daily to detect job changes within 48 hours. When someone leaves, we automatically find their replacement.
AI tests email deliverability in real-time, identifies correct email patterns, and verifies against multiple sources. 95%+ of emails are confirmed deliverable before sending.
AI distinguishes direct dials from switchboards, validates numbers are currently active, and identifies mobile vs. office lines. You call numbers that actually connect.
AI confirms budget authority through signals like: mentions in funding announcements, quotes about strategic initiatives, team size they manage, and purchasing patterns.
Know exactly who you're calling, what they care about, and how to position your solution before you dial.
"Jennifer has been VP RevOps for 14 months, reports directly to CRO Amanda Stevens. She manages a team of 8 and controls $2.4M operations budget. She has authority to sign contracts up to $500k without additional approval."
"TechFlow just expanded sales team from 45 to 78 reps (73% growth in 6 months). Jennifer posted on LinkedIn about 'maintaining rep productivity during hypergrowth' - clear signal she's feeling the pain of scaling."
"They use Salesforce, Outreach, and Gong. No AI prospecting tools detected. This means reps are manually researching prospects - exactly the problem we solve."
"Also reach out to: Amanda Stevens (CRO, economic buyer), Marcus Johnson (SVP Sales, user buyer), and David Chen (Sales Enablement Director, influencer). Multi-thread for 3x higher win rate."
AI prepares complete profiles with verified contact info, authority analysis, and personalized talking points for every decision-maker you call.
With verified contacts and complete buying committee maps, AI orchestrates outreach to multiple stakeholders simultaneously.
AI coordinates outreach to 3-4 buying committee members at each account. Economic buyer gets ROI messaging, technical buyer gets product details, users get ease-of-use benefits.
Each stakeholder receives messaging tailored to their role and priorities. CROs hear about revenue impact, VPs hear about team productivity, Directors hear about implementation.
When someone changes jobs or gets promoted, AI automatically updates your CRM and adjusts outreach strategy. You're always reaching current decision-makers.
AI ensures every stakeholder stays engaged with perfectly coordinated touches that build consensus across the buying committee.
Initial outreach to economic buyer (CRO) and primary user buyer (VP Sales)
"CRO gets ROI case study, VP Sales gets productivity improvement data"
Follow-up with technical buyer (RevOps) and influencer (Sales Enablement)
"RevOps gets integration details, Enablement gets training/adoption info"
Coordinated follow-up to all stakeholders with unified messaging
"All receive same case study showing how similar company achieved results"
AI tracks engagement across all stakeholders and adjusts outreach timing
"When one stakeholder engages, AI intensifies outreach to others to build momentum"
By engaging the entire buying committee simultaneously with verified contacts and role-specific messaging, you build consensus faster and eliminate single-point-of-failure deals.
We've spent years perfecting the AI-powered prospecting system. Our dedicated team runs it for you - handling everything from qualification to booked meetings. You just show up and close.
We built the perfect AI-driven prospecting system. Now our dedicated team runs it for you.
Our AI analyzes thousands of companies to find only those that match your ICP - before we ever pick up the phone.
Recent news, trigger events, pain points, tech stack - we know everything before making contact.
Our trained team handles all outreach - email, LinkedIn, and phone - using proven scripts and perfect timing.
Qualified prospects are scheduled directly on your calendar. You just show up and close.
Full reporting on activity, response rates, and pipeline generation - complete transparency.
Every week we refine messaging, improve targeting, and increase conversion rates.
See why outsourcing prospecting delivers better results at lower cost
Your team with random prospecting
200 conversations/month
Our strategic approach
3,000 conversations/month
2,800 more quality conversations per month
The math is simple when you break it down
Your Closers Close
Stop asking expensive AEs to prospect. Let them do what they do best while we fill their calendars.
Tell us about your sales goals. We'll show you how to achieve them with our proven system.