Most SDR teams spend 65% of their time on non-selling activities—list building, research, data entry, and manual follow-ups. The average SDR makes just 35-50 calls per day and books 4-6 meetings per month, despite working 40+ hours weekly.
Most SDR teams spend 65% of their time on non-selling activities—list building, research, data entry, and manual follow-ups. The average SDR makes just 35-50 calls per day and books 4-6 meetings per month, despite working 40+ hours weekly.
Here's what's actually happening:
| Factor | Traditional Method | AI Method |
|---|---|---|
| Approach | Hire SDRs, give them ZoomInfo access, train them on your ICP, and hope they figure out efficient prospecting through trial and error | AI handles all research, qualification, and contact discovery. SDRs focus exclusively on conversations with pre-qualified prospects using AI-prepared talking points |
| Time Required | 40 hours/week per SDR, with 26 hours on non-selling activities | 38 hours/week on actual selling activities, 2 hours on admin |
| Cost | $6,000-8,000/month per SDR (salary + tools + management overhead) | $3,500-4,500/month for done-for-you service with experienced reps |
| Success Rate | 4-6 meetings per SDR per month, 35-50 dials per day | 15-20 meetings per rep per month, 100+ dials per day |
| Accuracy | 28% of outreach reaches decision-makers, 40-60% ICP match | 94% of outreach reaches decision-makers, 98% ICP match |
Only 28% of an SDR's time
Is spent actually selling. The rest goes to research, data entry, and administrative tasks. AI sales engagement platforms eliminate 80% of these non-selling activities, letting reps focus on conversations.
Salesforce State of Sales Report 2024
High-performing SDR teams are 2.8x more likely
To use AI-powered sales tools than underperforming teams. The gap isn't talent—it's technology that eliminates busywork and surfaces the right prospects at the right time.
LinkedIn State of Sales Report 2024
SDRs using AI engagement platforms book 67% more meetings
Than those using manual processes, while making the same number of total touches. The difference is precision: AI ensures every outreach is to a qualified prospect with personalized messaging.
Forrester B2B Sales Enablement Study 2024
Companies report 50% reduction in SDR ramp time
When using AI sales engagement tools. New reps reach productivity in 6-8 weeks instead of 3-6 months because AI handles the complex research and qualification they'd normally need to learn.
Gartner Sales Technology Survey 2024
AI handles all research, qualification, and contact discovery. SDRs focus exclusively on conversations with pre-qualified prospects using AI-prepared talking points
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.
Traditional SDRs spend 2+ hours researching each target account—reading the website, checking LinkedIn, finding pain points, identifying contacts. AI reads and analyzes company websites, product pages, about sections, and case studies in seconds. It extracts what they sell, who they serve, their positioning, and recent initiatives. Your SDR gets a complete brief instantly, not after hours of manual work.
AI monitors job postings, funding announcements, leadership changes, technology implementations, and company expansions across thousands of prospects simultaneously. When a target company posts a 'VP of Sales' role or announces Series B funding, AI flags it immediately and prioritizes that account. SDRs call prospects exactly when they're most likely to buy—not randomly hoping for good timing.
Finding the right person is harder than finding the right company. AI maps organizational structures, identifies decision-makers by analyzing LinkedIn profiles and job titles, verifies contact information accuracy, and ranks contacts by authority + reachability. Instead of calling 5 wrong people before reaching the decision-maker, SDRs call the right person first.
AI analyzes each prospect's specific situation—their tech stack, recent news, hiring patterns, competitive landscape—and generates personalized talking points. Not generic scripts, but specific hooks: 'I saw you're hiring 3 sales engineers—most VPs tell me scaling technical sales is their biggest bottleneck right now.' SDRs sound informed and relevant on every call.
AI orchestrates perfectly timed touches across phone, email, LinkedIn, and SMS. It tracks engagement, adjusts timing based on response patterns, and ensures no prospect falls through the cracks. An SDR who manually manages 50 prospects can now handle 200+ with AI managing the sequence logic, follow-up timing, and channel selection.
AI tracks which messages get responses, which call times work best, which industries convert highest, and which objections kill deals. It continuously optimizes targeting, messaging, and timing based on actual results. Your SDR team gets smarter every week as AI identifies what's working and doubles down on it.
Whether you're evaluating our service, building in-house, or comparing vendors—ask these questions to separate real AI sales engagement from glorified email automation.
Many platforms automate email sequences but don't eliminate research time. Ask: How much time does your SDR save on prospect research? What percentage of their day shifts from admin to selling? If the answer is vague, it's just email automation. Real AI sales engagement should move SDRs from 35% selling time to 85%+ selling time.
Automation without intelligence creates spam. Ask: How does the platform personalize messaging? What signals does it use to customize talk tracks? Can it explain WHY a prospect is qualified? If it can't show you the specific signals it analyzes (job postings, tech stack, news), it's just blasting generic messages faster.
AI can't build relationships or handle complex objections. Ask: What does AI do vs. what do humans do? Who makes the actual calls? What happens when a prospect asks an unexpected question? The best platforms use AI for research and preparation, humans for conversations. Beware of platforms promising 'fully automated' outreach—they get terrible results.
Implementation timelines reveal platform maturity. Ask: When will our SDRs book their first AI-sourced meeting? What's the week-by-week ramp? What does success look like at 30, 60, 90 days? Vague answers like 'it depends' or '6-month ROI' mean the platform is complex to implement or doesn't deliver fast results.
Hidden implementation costs kill ROI. Ask: How much time will our sales ops team spend on setup? Do we need to hire specialists? What integrations are required? What ongoing management is needed? A '$3,000/month platform' that requires a full-time admin and 3 months of implementation actually costs $15,000+ monthly.
A $42M B2B SaaS company had 4 SDRs booking 18 meetings per month total—4.5 per rep. Each SDR spent mornings building lists in ZoomInfo, afternoons researching prospects on LinkedIn and company websites, and only 90 minutes daily on actual calls. They made 35-40 dials per day but reached decision-makers on just 8-10 calls. Their VP of Sales calculated they were paying $1,333 per booked meeting in fully-loaded SDR costs. Worse, 40% of meetings were poor fits—prospects too small, wrong industry, or no budget authority.
After implementing AI sales engagement, the same 4 SDRs now book 68 meetings per month—17 per rep. They spend 6+ hours daily on calls and conversations because AI handles all research and list building. They make 100+ dials per day with power dialers and reach decision-makers on 35-40 calls. Cost per meeting dropped to $485. Meeting quality transformed: 94% of prospects match their ICP criteria, and their AEs report that prospects arrive informed and engaged, not confused about why they're on the call.
Week 1: ICP workshop to document 18 specific qualification criteria—company size, tech stack, growth stage, funding status, team structure, and pain indicators
Week 2: AI system configured to analyze prospects against all criteria. Tested on 1,000 companies from their target list—AI matched human qualification judgment 96% of the time
Week 3: First AI-powered campaign launched. AI researched 2,400 target companies, qualified 412 as perfect fits, identified decision-makers at each, and prepared custom talking points
Week 4: SDRs made 1,847 dials (vs. 720 the previous month), reached 287 decision-makers, booked 52 meetings. All meetings pre-qualified before scheduling
Month 2-3: Continuous optimization. AI learned which signals best predicted meeting-to-opportunity conversion and adjusted targeting. Meeting volume stabilized at 68/month with improving quality
We've spent 3 years building and perfecting AI sales engagement systems across hundreds of B2B campaigns. You get the complete solution—AI platform, experienced reps (5+ years in enterprise sales), integrated power dialers, and proven workflows—starting in week 2. No 6-month implementation, no hiring, no trial and error.
Working with Fortune 500 distributors and semiconductor companies. Same system, your prospects.
Get Started →Stop wasting SDR time on companies that will never buy. Here's how AI sales engagement platforms ensure every dial is to a perfect-fit prospect.
AI works with any starting point—your CRM, a purchased list, target account list, or just industry criteria. Even if you only have 'manufacturing companies with 200-500 employees,' AI takes it from there.
AI visits each company's website, reads product pages, analyzes job postings, checks news and press releases, maps their tech stack via BuiltWith, and reviews LinkedIn profiles. It's doing what would take an SDR 2 hours per company—in 30 seconds.
AI evaluates each company against your specific requirements: revenue range, growth signals, tech stack, team size, geographic focus, and custom criteria. From 3,000 companies, AI might qualify just 287 that score 90%+ on your ICP criteria.
Your SDRs never see the 2,713 companies that don't fit. They only call the 287 that are perfect matches. No more wasted dials to companies that are too small, wrong industry, or bad timing.
The biggest time-waster for SDRs isn't finding companies—it's finding the RIGHT PERSON who has authority, budget, and a reachable phone number.
CEO: Perfect authority and budget, but no direct phone number available—only goes through gatekeepers
VP of Sales: Right department and reachable, but just started 3 weeks ago—still learning the business, no budget authority yet
Director of Marketing: Has verified contact info, but wrong department for your sales solution—will just redirect you
VP Revenue Operations: Budget authority + 18 months in role + verified direct dial = Perfect target!
AI identifies all potential contacts across sales, revenue operations, sales enablement, and leadership. It builds a complete org chart from LinkedIn, company websites, and public data.
AI evaluates each contact's title, tenure, team size, and reporting structure to determine who actually has budget authority. A VP with 2 months tenure scores lower than a Director with 2 years tenure.
AI checks which contacts have verified phone numbers, email addresses, and LinkedIn profiles. It prioritizes contacts who are actually reachable, not just theoretically right.
AI combines authority and reachability into a single score. Your SDR calls the highest-scoring contact first—the person most likely to take the meeting and have budget to buy.
SDRs waste hours researching each prospect before calls. AI does this research in seconds and prepares personalized talking points for every conversation.
"Michael, I noticed DataFlow just posted 6 SDR roles in the last 30 days—that's aggressive growth. Most VPs I talk to say their biggest challenge when scaling that fast is keeping per-rep productivity from dropping. Is that on your radar?"
"I saw your team uses Salesforce and Outreach. With 6 new SDRs ramping, you're probably looking at 4-6 months before they're productive. That's $180k in ramp costs alone. What if you could cut that to 6 weeks?"
"We work with three other companies in the data infrastructure space—CloudMetrics, StreamBase, and DataPulse. CloudMetrics was in a similar spot last quarter: scaling from 8 to 15 SDRs. They used our AI-powered BDR service to maintain pipeline during the ramp. Booked 47 meetings in the first month."
"I noticed you're competing heavily with Segment and Fivetran in the CDP space. Both of them have significantly larger SDR teams. Our AI helps level the playing field—you get the output of 12 SDRs with a team of 6."
AI researches every prospect and prepares 4-6 custom talking points based on their specific situation. Your SDRs sound informed and relevant on every single call—no more generic pitches.
With research and preparation handled by AI, your SDRs focus exclusively on high-value activities: conversations, relationship building, and booking meetings.
Integrated power dialers eliminate manual dialing. AI queues the next call instantly. SDRs go from 35-50 dials per day to 100+ with the same work hours—just zero downtime between calls.
During calls, AI displays prospect research, talking points, and objection responses on-screen. SDRs have every answer at their fingertips without fumbling through notes or CRM records.
AI logs every call, email, and touch in your CRM automatically. SDRs spend zero time on data entry—it all happens in the background. No more end-of-day CRM cleanup sessions.
Most deals are lost to poor follow-up, not poor prospecting. AI ensures every prospect gets perfectly timed, personalized touches until they're ready to meet.
AI sends personalized email referencing specific conversation points
"Michael, great talking about your SDR scaling challenges. Here's the CloudMetrics case study I mentioned—they went from 8 to 15 reps while increasing per-rep productivity 40%..."
AI sends relevant content based on prospect's industry and pain points
"Thought you'd find this relevant: How 3 B2B SaaS companies cut SDR ramp time from 5 months to 6 weeks [link to guide]"
Prospect automatically moves to top of call queue with updated talking points
"AI notes: Michael engaged with email #2 (opened 3x, clicked case study). Mention CloudMetrics results on next call."
AI triggers LinkedIn connection request with personalized note
"Michael, following up on our conversation about SDR productivity. Would love to share how we're helping DataPulse scale their team..."
AI ensures every prospect gets 12-15 perfectly timed, personalized touches over 90 days. Your SDRs focus on conversations while AI handles the orchestration, timing, and personalization at scale.
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.