How Acme Labs shipped their first AI SDR in 72 hours

Situation

Acme Labs hit Series A in late 2025 with one full-time seller — Maya, a founding account executive who had been the third employee. Their CEO, a technical co-founder, had been covering outbound for a year. When the round closed, the hiring plan called for a dedicated SDR on a $75K base / $120K OTE package, plus a three-month ramp. Everyone knew the math.

The math didn't work.

"We had nine months of runway on the Series A and a pipeline target that implied we needed to be in market 90 days ago," Maya said. "An SDR ramp would eat a full quarter before we saw revenue. I needed top-of-funnel now, not in Q3."

They considered outsourced SDR firms. Pricing landed at $8K-$12K/mo for 3-5 dials a day of marginal quality, with long contracts. Also a no.

Complication

The real bottleneck wasn't writing cold emails — Maya could write good ones in her sleep. The bottleneck was consistency across 300 accounts a week. Every cold email worth sending needed: a persona-specific hook, recent public-company-facing context (funding, job postings, product launches), a pain hypothesis tied to a competitor comparison, and a CTA calibrated to buyer seniority. Doing that manually meant ~15 minutes per prospect before the first send. 300 prospects × 15 min = 75 hours/week. Maya had 8.

They tried ChatGPT. It produced generic "I hope this email finds you well" copy. They tried Apollo's AI writer. Same. They tried a paid prompt library from a Twitter creator that was — "honestly, just someone's unstructured file dump with a Stripe link," Maya said. Nothing was a system. Every message was still a judgment call.

Resolution

Maya installed the CHANN3L SDR Agent on a Sunday night. The package arrived zipped in her inbox within ten minutes of checkout, customized at the three intake questions to Acme Labs' name, industry ("developer infrastructure SaaS"), and primary customer ("senior platform engineers at 200-1,000 person tech companies"). She unzipped into her Claude Code config directory and opened the INSTALL.md.

By 11pm the routines were running.

• Daily prospecting (9am weekdays): pulls that morning's ICP matches from their enriched Apollo list, drafts personalized openers tied to each account's latest public signal, queues the batch.
• Mid-day activity report (1pm): summarizes replies, flags hot leads, proposes same-day follow-up language.
• Weekly pipeline review (Monday 8am): stage-by-stage pipeline health, drop-off analysis, top account risks.

The package came with 12 bundled skills — cold-outreach-b2b, discovery-call-questions, objection-handling-guide, demo-script, competitive-battlecard, and others — all scored 85+ SkillIndex before they shipped in the package. Maya also subscribed to Library Member at $8/mo so she could pull ad-hoc skills during live calls.

The first qualified meeting landed 36 hours later.

"I sent 480 emails that first week. Nine-point-two percent reply rate, eleven meetings booked, zero nights spent writing subject lines," Maya said. "The competitive-battlecard skill handled a conversation that morning where a prospect went, 'Why not just use Acme's largest competitor?' I ran it live, it produced the positioning, I read it out. She said 'fair.' Booked."

The hiring plan for an SDR got scrapped. The $120K fully-loaded budget got redeployed into a senior AE hire that Maya had been pushing for since day one — someone who could close enterprise logos, not pitch them.

What it cost

• Agent Package: $99 one-time
• Library Member: $8/mo ($96/year)
• Eval Pro: $99/mo ($1,188/year)

Total year-one spend: $1,383.

The delta versus a human SDR at $120K fully-loaded: $118,617 saved. The delta versus outsourced SDR at $10K/mo: $118,617 saved (same amount, same idea, better outcome).

Where the risk actually sits

Maya is clear-eyed about what the agent doesn't do. "It can't build relationships. It can't read a founder's Slack message tone. It can't sense when a deal is quietly dying. That's my job, and it's a bigger job now because I have time to do it."

She uses Eval Pro as her quality-control layer: every time she edits a skill's system prompt, Eval runs a regression suite against it before she ships. "I caught one regression last month where a tweak I made to the objection-handling skill was making Claude default to pricing discounts. Eval flagged it on the next run. I rolled back in thirty seconds. If I were doing this without a scoring layer, I'd have been discounting for weeks before noticing."

Where it is now

Nine months after install, Acme Labs is tracking 3.4x ARR from the window when they installed the agent. Maya's moved upmarket — her average deal size has tripled as she spends her week on live calls instead of cold-email writing. The CEO just signed off on hiring a Director of Sales rather than another SDR; the job spec explicitly calls for "comfort managing agentic workflows."

The SDR role never got posted.