AI sales outbound
for B2B.
Sales Navigator import, ICP scoring, per-prospect personalization drafted from real signals, and a human-review queue before every send. Replies route into your Salesforce / HubSpot / Outreach / Salesloft with full attribution. Not a full-auto “AI SDR” that torches your deliverability — the same engine we run on our own pipeline, packaged for yours.
$500 deposit to start. $4,000 setup + $1,800/mo once scope is confirmed. Live in 3 to 4 weeks. Refundable if we can't reach personalization quality your team will send.
Published · By Nolola
Teams that need pipeline
without the domain risk.
VPs of Sales, Heads of Sales Ops, and founder-led sales at Seed to Series B B2B — where hitting the next quarter's number depends on outbound leverage but a domain reputation incident could set you back six months.
- You tried a full-auto AI SDR tool and it torched your domain reputation within 30 days
- Your SDR ramp time is 4-6 months and you can't hire fast enough to hit next quarter's pipeline number
- Your personalization is “Hi {{First Name}}, I noticed {{Company}} is doing great things” and reply rates are under 1%
- Marketing hands you leads · you can't tell which reply came from which sequence
- You want an AI implementation partner that's run their own outbound at scale, not a tool vendor
Looking for a different angle? See the general sales outbound page or browse the micro-pages hub.
Not a full-auto AI SDR.
A working outbound engine.
Four workflows that give your SDRs 5-10x leverage without giving up the human judgment step that keeps your domain clean.
Sales Nav / Apollo import + ICP scoring
Raw prospect lists come in (Sales Navigator CSV, Apollo, ZoomInfo, Cognism, Lead411). Your ICP profile scores every account and contact. Trash gets killed at the door — wrong company size, wrong industry, wrong seniority, wrong region. Only the top of the list moves to personalization, so your SDRs never open a queue full of prospects who were never going to convert.
Per-prospect personalization from real signals
For each surviving prospect the agent pulls signals — LinkedIn activity, company blog, recent product launches, funding news, SEC filings, key job postings, podcast appearances — and drafts a personalization line + opening angle that references one specific, verifiable thing. Not “Hi {{First Name}} I noticed {{Company}}”. Real signals, real angles, in your rep's voice.
Human-review queue before every send
Every draft lands in an SDR review queue. One-click approve, edit, or reject with a reason (the reason feeds a nightly retrain loop). Nothing ever sends without a human's eyes on it. This is the difference between AI outbound that grows your pipeline and full-auto tools that torch your domain reputation and get your reps banned from LinkedIn.
Reply triage + CRM-wired handoff
Replies get classified — positive, referral, not-now, opt-out, out-of-office — and routed. Positive replies auto-book on the AE's calendar (Chili Piper / Calendly / Cal.com), opt-outs are honored across every channel immediately, referrals get re-scored as a new prospect, everything is tagged and stage-tracked in Salesforce / HubSpot. Full attribution: message-sent → reply → meeting → opportunity → closed-won.
Deliverability guardrails
SPF/DKIM/DMARC configured on a warmed sub-domain before volume ramps. Per-domain cadence caps enforced at the sending-infra layer. Daily reputation monitoring — threads auto-pause on the first sign of degradation.
Human-review by default
Every message reviewed by an SDR before send. One-click approve, edit, or reject with a reason. Rejections feed a nightly retrain loop so personalization quality compounds instead of drifting.
Attribution back to closed-won
Message-sent → reply → meeting booked → opportunity created → closed-won. Full chain wired into Salesforce / HubSpot with SDR and cohort attribution. No black-box vendor dashboards.
Sits inside your
actual outbound stack.
Native integrations for the CRMs, cadence tools, data providers, and sending infra that B2B outbound teams actually use. If yours exposes an API or webhook we can wire it — custom integrations get scoped and priced in the setup fee up-front, no surprise line items later.
- Salesforce
- HubSpot
- Outreach
- Salesloft
- Apollo
- LinkedIn Sales Navigator
- ZoomInfo / Cognism / Lead411
- Clay (data enrichment orchestration)
- 6sense / Bombora (intent data)
- Instantly / Smartlead (email infra)
- Chili Piper / Calendly / Cal.com
- Gmail / Outlook / Google Workspace
- Slack (reply alerts + rep coaching)
- Anthropic / OpenAI (model layer)
Human-review AI,
full-auto tools, or more hires.
AI outbound with human review (this)
- Deliverability
- SPF/DKIM/DMARC warmup + cadence caps + per-domain reputation monitoring
- Deliverable
- Personalization from real signals, human-review queue, CRM-wired attribution, same engine as Nolola's own pipeline
- Right fit
- You want an outbound engine that scales your SDRs without scaling your risk
Full-auto “AI SDR” tools
- Deliverability
- Poor — send-volume-first, personalization-templated, domain reputation risk high
- Deliverable
- Blast at scale · high spam risk · vanity reply rates that don't book meetings
- Right fit
- You want the appearance of activity and don't care about your domain long-term
Hire more SDRs
- Deliverability
- Human-typed, deliverable
- Deliverable
- More seats · limited hours · 18-month median tenure
- Right fit
- You have consistent volume growth and can hire + manage more headcount
Most teams recover the $4,000 setup within a quarter from a single booked meeting that became an opportunity.
Booked meetings.
Not blocked domains.
“We got burned by a full-auto AI SDR tool in Q1 — deliverability tanked, we had to burn a domain and warm two new ones for six weeks. Nolola's human-review queue was the whole reason we tried again. First cohort landed 14 meetings in 30 days with reply rates over 4%. Zero domain incidents in six months.”
“Our SDRs used to spend 60% of their day writing openers. Now they spend 60% approving them. Per-prospect personalization is genuinely good — the AI pulls something concrete off the prospect's LinkedIn or a company blog post and drafts an angle. My SDRs edit maybe one line in three, ship the rest. Pipeline is up 42% quarter-over-quarter without adding a seat.”
“I'm the founder still doing sales at Series Seed. I didn't want to hire an SDR yet and I didn't want to trust a tool. This is the middle path — I approve every send, the AI handles the research + drafting, replies route to my calendar. Booked 22 discovery calls in month one on a $6k first-month spend. Would have been a headcount hire six months earlier.”
Common questions
$500 refundable deposit to secure a kickoff slot. Once scope is confirmed at the discovery call: $4,000 one-time setup + $1,800/month. Setup covers ICP scoring rules, prospect ingestion pipeline, personalization prompt tuning against your reps' existing voice, CRM handoff wiring, and 30 days of post-launch tuning. Monthly covers hosting, model inference (higher than a chatbot because personalization is compute-heavy), Clay/enrichment credits, deliverability monitoring, and weekly cohort iteration. Most teams recover the setup within a quarter from a single booked meeting that became an opp.
Three layers. First: setup ships SPF/DKIM/DMARC configured on a warmed sub-domain BEFORE volume ramps — most tools skip the warmup and get flagged in week one. Second: per-domain cadence caps enforced at the sending-infra layer (Instantly / Smartlead) so no single mailbox exceeds the reputation-safe daily send. Third: every message is human-reviewed before it sends, so the template drift that flags providers to spam classifiers never happens. We also monitor per-domain reputation daily and pause any thread the moment we see degradation.
This is deliberately not an “AI employee.” The full-auto “AI SDR” pitch (send + reply + book with no human) sounds compelling and destroys pipeline in practice — deliverability collapses, prospects get sent about products you don't have, opt-outs get ignored across channels, brand takes months to recover. This is an AI agent with a human-in-loop: the model does the compute-heavy work (research, ICP scoring, personalization, reply triage), your SDR does the judgment work (approve/edit/reject). You get 5-10x SDR leverage without the tail risk of an autonomous send.
Five that separate the good from the dangerous: (1) Show me your OWN outbound results — if the agency doesn't run this engine on themselves, they're selling from a slide deck. (2) What's the human review posture, and can I override it? (3) How do you handle deliverability warmup and per-domain reputation monitoring — get specifics, not “we handle it.” (4) Show me a real personalization example — if it says “I noticed you're doing great things,” walk away. (5) How does data flow back to Salesforce/HubSpot with correct attribution, including reply-to-opp mapping? We're happy to answer all five on the discovery call — most vendors dodge at least three.
For each surviving prospect we pull signals via a Clay-orchestrated pipeline: LinkedIn recent activity, company blog, recent product releases, funding announcements, SEC filings (if public), key job postings, podcast appearances, GitHub commits (if technical ICP), and press mentions. The model drafts an opening line that references one specific, verifiable thing from those signals — with the source URL in the review queue so your SDR can validate before send. Personalization templates are trained on your reps' own approved sends so the voice stays yours, not a generic LLM voice.
Native integrations for Salesforce and HubSpot (leads, contacts, activities, opportunities). Cadence tools: Outreach, Salesloft, Apollo. Data enrichment: Clay, ZoomInfo, Cognism, Lead411. Intent: 6sense, Bombora. Email infra: Instantly, Smartlead, direct SMTP through Google Workspace / Microsoft 365. Meeting booking: Chili Piper, Calendly, Cal.com. Slack for reply alerts + rep coaching. Anything with an API or webhook we can wire — custom integrations get scoped and priced in the setup fee up-front.
Standard defaults: physical mailing address in every message footer, one-click unsubscribe honored across every channel within 24 hours, opt-outs synced to your CRM and every sending mailbox, region-aware sending rules (no cold outreach into GDPR-scope contacts without a lawful basis, no cold outreach into CASL-scope contacts without express or implied consent). Suppression list is authoritative and enforced at the sending-infra layer — if a contact opted out on email, they won't get a LinkedIn DM either. Legal review templates for your MSA are ready to go.
3 to 4 weeks. Discovery call within 2 business days of deposit. Week 1: ICP definition + prospect ingestion + domain warmup starts. Week 2: personalization prompt tuning against your reps' historical sends, CRM handoff wiring. Week 3: soft-launch first cohort at 10-20% of target volume with your SDR team reviewing every send. Week 4: full ramp once your team is happy with the personalization quality and the deliverability signals are green. 30 days of tuning included after that.
$500 deposit is fully refundable if we can't confirm scope or commit a kickoff date within 7 days. If we take on the build and personalization quality doesn't reach a level your team will send, we surface it during the soft-launch and refund the setup fee minus infra costs — we don't sign you up for a monthly commitment on a queue your SDRs won't use. If you cancel post-launch, you own the prompt templates, personalization rules, cadences, and attribution data — we export on request and shut off billing the following month. No multi-year contract, no exit fee.