Your AI SDR failed because it pitched. We build agents that do the reverse.
We train on your prospect's visible pain first. Your value prop comes last, or not at all. Every message passes TVA or it doesn't send.
The AI SDR graveyard.
11x raised $76M and reportedly lost 70–80% of its early customers. Artisan got LinkedIn-banned for spam. The whole AI SDR category is three years into a hype cycle and most CROs are tired of pilots that never ship pipeline.
The problem isn't AI. It's training. Every AI SDR vendor trains their agents on the seller's value prop. They scrape a LinkedIn title, plug in positioning, and call it personalization. The output is structurally generic because the input was generic.
We build the reverse.
Build it in-house: $540K. Build it with us: $145K.
$395K saved. First pipeline 5 months earlier.
How we train subagents that pass TVA.
- Prospect-first research. The first subagent in the pipeline researches the prospect's visible pain, hiring patterns, product launches, funding events, public reviews, tech stack changes, exec movements. It builds a dossier before it ever touches your value prop.
- Signal scoring. A second subagent scores each signal against STA, is it Specific, Timely, Actionable? Signals scoring below threshold are discarded. This kills 60–80% of "possible reasons to reach out" before drafting ever begins.
- Value-prop anchoring. Only after a high-STA signal survives does the third subagent anchor your value prop to it. The message leads with the signal, delivers the insight, and positions your product as the answer to a problem the prospect has already admitted publicly.
- TVA self-scoring. The drafted message is scored by a fourth subagent against the TVA rubric. Below 7/9, regenerate. Three failed regenerations, skip the prospect.
- Human approval for the first 50. For every new ICP, a human on your team approves the first 50 sends. After that, the system runs with sampling review.
What happens when you train this way.
"The first outbound that didn't sound like a robot wrote it."
Questions.
We already have 11x / Artisan / Regie / some other AI SDR. Do you replace or augment?
Replace. We're not an addition to a stack that's failing. If your current AI SDR is producing forward-worthy messages, you don't need us. If it isn't, we migrate you off.
How long until messages start sending?
Two to three weeks for the first campaign. One week for subsequent campaigns using the same ICP. New ICPs require the 50-message human approval phase.
Who owns the agents?
You do. Every subagent, every prompt, every rubric, versioned in your repo. If we ended the engagement tomorrow, your team continues running exactly what we built.
What does it cost?
Initial build is fixed-fee, typically $25K–$45K depending on ICP complexity and data sources. Ongoing engineering retainer starts at $6K/mo for one active campaign.
Further reading.
- Why every AI SDR pilot is dying (and what's replacing them)AI SDR vendors trained on the seller's value prop. Recipients pattern-matched it as spam. The category never had a methodology problem hiding inside its tool problem.
- Forward rate: the outbound metric that exposes every AI SDRWhy open rate and reply rate stopped meaning anything once AI lifted both ceilings. What forward rate is, how to measure it, and what good looks like.
- Triggered Value Asset vs Permissionless Value Proposition: why agents need a different frameworkJordan Crawford's PVP reshaped outbound for human writers. TVA borrows the spirit and adds an agent-native test: would the recipient forward this. Why the shift matters.