A Series B fintech SaaS company was spending $6,000/month on two SDRs doing cold outbound. Reply rates sat at 1.2%. The CEO was personally spending four hours a week triaging replies and deciding which ones were worth forwarding to an AE. The pipeline was thin and the team was burning out.
AYW built a fully autonomous AI sales agent in 14 days. The system sends 1,200+ hyper-personalized outbound messages per day, qualifies every reply automatically, and books meetings directly to the AEs' calendars — without a human touching the process.
In the first 60 days: $47k in new MRR booked. The two SDRs were moved to customer success. The CEO stopped logging into the inbox.
The company had a solid product and a clear ICP — but outbound was broken. Two SDRs were manually researching leads, writing "personalized" emails using a template, and then spending half their day following up on replies that went nowhere.
The core problems were:
Volume: Each SDR could send ~80 emails a day at a quality that actually converts. That's not enough to feed a pipeline at their price point.
Consistency: Tone, timing, and personalization quality varied wildly by rep and by day. Monday morning emails hit different than Thursday afternoon.
Reply triage: Every reply — whether it was "yes, book me" or "unsubscribe" — landed in the same inbox and required a human to categorize and respond.
"We were spending $6k a month to send 160 emails a day and book maybe 3 meetings a week. We knew there had to be a better way."
We built a three-layer system: a lead enrichment pipeline, an outbound sequencing agent, and an AI inbox that handles replies end-to-end.
Layer 1 — Lead enrichment: A daily pipeline pulls ICP-matched companies from Apollo, enriches them with LinkedIn, technographic, and intent data via Clay, and scores them before a single message is sent. Only companies above a threshold score enter the sequence.
Layer 2 — Outbound agent: For each qualified lead, GPT-4o writes a genuinely personalized email using the enrichment data — referencing real things about their business. 1,200 per day. Sent via Instantly with proper warm-up and domain management to land in the primary inbox.
Layer 3 — Reply AI: Every reply hits an n8n workflow that classifies intent, handles objections, books meetings automatically for positives, and marks neutrals for optional human review. AEs only see calendar invites.
| Metric | Before AYW | After AYW |
|---|---|---|
| Emails sent / day | 160 | 1,200+ |
| Personalization | Template + manual edit | AI-generated per lead |
| Reply rate | 1.2% | 8.4% |
| Meetings booked / week | 3 avg | 18 avg |
| Human time in inbox | 4 hrs/week (CEO) | 0 hrs |
| Cost / booked meeting | $500+ | $28 |
No discovery sprints. No 12-week roadmaps. We map on day one, build on day three, and ship before the end of week two.
2-hour session mapping the current outbound process, CRM setup, ICP definition, and deal data. We leave with the build spec written.
Apollo → Clay → scoring workflow live. First 500 qualified leads pulled and reviewed with the client. ICP scoring calibrated.
GPT-4o trained on 3 months of the client's best-performing emails. First batch of 50 AI-written emails reviewed, approved, and tone-locked.
n8n reply classifier built and connected to HubSpot. Booking flow tested end-to-end — reply → classify → book → CRM update → notify AE.
System live at reduced volume. First 3 meetings booked automatically. Reply handling reviewed. Zero issues flagged.
System at full capacity. Monitoring dashboard live. Client handed full ownership. First $47k MRR closes over the following 6 weeks.
These figures are pulled from the client's HubSpot and Instantly dashboards at the 60-day mark. All placeholder values — swap with real client data.
No forced migrations. No new SaaS subscriptions they didn't need. We connected the tools they already had and added the ones that filled the gaps.
"We were skeptical that AI could actually write emails that sound like us. Within the first week, we couldn't tell the difference — and our prospects couldn't either. The meetings started flooding in. We shut down the SDR playbook and moved both of them to customer success. Best operational decision we've made."
20-minute call. We map one live workflow, show you what we'd build, and what it would return. No deck. No pressure.