An outreach layer designed to lift reply rates on cold email.
A prototype we built to show how we’d find and ship the AI layer for a product like this. The number is projected, modeled from how the workflow behaves, not a client result.
- Concept
- Sales
- Projected metrics
More replies, less grind
A mid-market B2B sales-engagement / outreach-style product.
- Industry
- Sales
- Solution
- Outreach Intelligence
- Also designed to move
- SDR time per prospect
- Status
- Concept, metrics projected
Reply rates are stuck, and the team is paying for it in time.
In a sales-engagement product like this, SDRs spend most of their hours on non-selling work, stitching prospect research across several tools, writing generic first-touch emails, and scheduling follow-ups by hand. Reply rates sit around 2.8%, below the cold-email industry average, while the sending domain’s reputation quietly degrades. The cost shows up in two places at once: low reply rates and high time-per-prospect.
Where AI would actually change behavior, and where it wouldn’t.
The real lever isn’t another template or another tool. It’s an intelligence layer that turns scattered buyer signals into a recommended outreach move, drafts a personalized email from verified facts, and routes replies by intent. AI moves the work that’s manual and repetitive, prospect research, first-draft composition, reply triage, while the SDR keeps the parts that need judgment: strategy, the first-touch approval, and the live conversation. The honest framing is augmentation, not an autonomous SDR.
- Left on the tableAnother merge-tag template blast to a bought list
- Left on the tableA fully autonomous SDR that sends without a human in the loop
- What we would buildAn outreach-intelligence layer that drafts from verified facts, SDR approves
An outreach-intelligence layer with five agents and a human checkpoint.
We’d build five focused agents over the existing pipeline. A Prospect Intelligence agent watches dozens of signal sources and scores who’s worth contacting right now. A Strategy agent turns each signal into a recommended angle, timing, and CTA. A Personalization engine drafts the email from verified facts, every claim cross-referenced, hallucination risk flagged for review. A Deliverability agent monitors sender reputation and throttles volume before it damages the domain. A Reply Intelligence agent reads incoming replies for intent and routes the high-value ones to the SDR within a minute. The SDR approves before the first email sends. That checkpoint isn’t a limitation, it’s how the numbers stay honest.
The same SDR, with the layer off and on.
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What this layer is designed to move.
These figures are projected, modeled from how the workflow behaves, not measured against a live customer. In a real engagement, we set the target against a metric you already track, agree how we’ll measure it, and report the actual movement.
- ProjectedReply rateProjected 2.6x, modeled from ~2.8% to ~7.2%
- ProjectedSDR time per prospectProjected ~10x faster, ~25 min down to ~2.5 min
Reliable on top, untouched underneath.
The AI layer sits above the product’s existing sending and CRM infrastructure, it reads signals and writes drafts, but the systems of record and the actual send stay where they are. Every email cites verified facts, with hallucination-risk flagged for human review before it ships. Deliverability is monitored in real time, and volume auto-throttles before a sending domain gets hurt. Each agent runs independently and escalates to a human when its confidence drops below a set threshold, so the SDR is always the one who decides what goes out under their name.
- No model training on your data.
- Simple, auditable pipelines.
- Human review and fallbacks where trust matters.
- A clear record of what data goes where.
One team, finding the opportunity, designing it, building it.
This is the whole process in miniature: start from a metric, find the one place the layer pays for itself, design the feature, build it on top of the product without risking the core, and tie it to a number you can check. The same strategy, design, and engineering team does all of it. No handoffs, no gaps for you to own.
Target
Reply rate on cold email. We aim for a 2.6x lift, from ~2.8% toward ~7.2%, projected.
Opportunity
Verified personalization, so each first touch cites real facts instead of merge tags.
Design
Five agents with one human checkpoint: the SDR approves before anything sends.
Build
Built on top of the existing sending pipeline and CRM, which stay the system of record.
Evaluate
Measure the actual reply rate after launch and test it against the target.
Have a product problem? Let's talk.
Tell us what you are trying to improve and where the product is stuck. We will help you decide if an AI layer is worth building.
- NDA from the first conversation.
- Response within 24 hours, guaranteed.
- Founder-led from first call to handoff.
