01
Signals over static lists
The engine sources accounts from hiring posts, funding events, and tech-stack changes that match the ICP — so every prospect has a reason to be contacted this week, not whenever the list was exported.
B2B SaaS company (Series A) · Lead Generation
Two SDRs were expected to feed four AEs, and pipeline showed it. We built an outbound engine that sources on-profile accounts from live signals, writes personalization grounded in actual research, and handles replies — so the humans only enter at 'interested.'
/ 01 — The problem
Each SDR spent roughly 70% of their week researching accounts and writing emails, producing about 40 genuinely personalized touches a day between them.
A previous attempt with template blasts had cratered reply rates and flirted with spam-folder exile — leadership was rightly wary of 'AI outreach' meaning 'more spam, faster.'
/ 02 — The build
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The engine sources accounts from hiring posts, funding events, and tech-stack changes that match the ICP — so every prospect has a reason to be contacted this week, not whenever the list was exported.
02
Before writing, the system reads the prospect's site, recent news, and role context. Messages are constrained to specific, verifiable observations — if there's nothing genuinely relevant to say, the prospect is skipped. Quality gates before volume.
03
Warmed domains, conservative throttles, rotation, and suppression lists — architected to protect sender reputation first and scale second.
/ 03 — The results
“The emails are better-researched than what we wrote by hand, because no human has twenty minutes per prospect. It books meetings while we sleep and hasn't embarrassed us once.”
/ Free AI audit
Every engagement here started with the free audit. Sennova Labs maps your workflows, prices the waste, and shows you what to automate first.
No obligation · Roadmap is yours to keep