AI-NATIVE OUTBOUND ENGINE

SLSBMB

AI-native outbound that turns budget into live market coverage, reply intelligence, and qualified pipeline.

You set the budget. The engine buys and warms the sending infrastructure, researches your market, writes and tests the campaigns, and sorts every reply that comes back. You just talk to the buyers.

Monthly budget The main control
$10,000 / month
Engine efficiency 100%

Every $1,000 at this level buys ~9,000 emails and ~35 replies

80k–100k Planned monthly emails
280–420 Replies
90–150 Positive replies
45–75 Qualified leads

Expected monthly operating range. Results depend on market, offer, list quality, and response handling.

What your budget buys

One number in. Seven jobs done.

You pay one monthly number. The engine does every job below — the same jobs an outbound team of five would split between them. Minus the five people.

No setup fees, no per-seat pricing, no “data credits” sold separately. The number on the slider is the number.

The 2026 problem

One mistake now costs the whole channel.

Google and Microsoft enforce sender rules ruthlessly now. One wrong DNS record, one cold mailbox pushed too hard, one volume spike — and delivery quietly drops toward zero. There is no warning email. Campaigns keep “sending”; nothing lands.

Humans make mistakes. Even brilliant ones. Especially tired ones.

So we asked the obvious question:

What if there were no humans in the error path… at all?

So we removed them. All of them.

The whole craft — domains, DNS, warmup, daily volume, copy, replies — now runs as software. It holds Google’s and Microsoft’s sender rules as of today and re-checks them while you sleep. Run this way, outbound is the cheapest qualified lead on the internet. The channel was never expensive. Operating it by hand is.

The talent market

People who can run outbound correctly are rare, busy, and price like it. Most companies will never hire one.

The $3k agency

Cheap outreach vendors resell templates over rented tools — no infrastructure of their own, no learning loop, no results.

What we built

We digitized the full craft into AI. Setup, research, copy, replies — the whole process runs as software, at a budget a normal company can pay.

The machinery

Three systems. One machine.

These are not features on a slide. Each module below is production software we built, deploy daily, and run our clients’ campaigns on right now.

Sender Engine

Runs campaigns, replies, dashboards, audit, and worker-backed execution.

Mailboxes/Fleet

Controls sender infrastructure, warmup, domain/mailbox health, and deliverability posture.

Simple Knowledge

Runs real AI research loops over market evidence and preserves the dossier for operator decisions.

The loop

AI doesn’t just write the emails. It runs the loop.

Knowledge

Market analysis, competitor mapping, evidence, ICP hypotheses.

Audience

Source-backed segments and account logic.

Test Design

Campaign angles, sequences, variants, experiment design.

Execution

Safe sender infrastructure and paced outbound.

Learning

Replies, positive replies, objections, segment feedback.

Supervision

Dashboard, alerts, quality control, deliverability truth.

Every cycle feeds the next. The loop compounds.

Client Hub

Watch the engine work. Live.

Every client gets the Client Hub: replies the minute they land, a CRM your team can work leads in, the research dossier behind your campaigns, response-speed tracking. Not a weekly PDF. No other outbound operator gives clients a cockpit.

CLIENT HUB illustrative preview live
MK M. Keller — Ops Director “Yes — what would a pilot for our Hamburg site look like?” interested 2m
SR S. Rojas — Head of Growth “Not this quarter, but circle back in September.” follow up 26m
JT J. Tan — VP Sales “Can you send pricing for 3 regions?” interested 1h
AL A. Lindqvist — COO “Interesting timing. Who else in logistics uses you?” interested now
0delivered
0replies
0positive
0qualified
New
Nordic freight groupowner: you
Warehouse robotics, Lyonowner: Dana
In talks
Cold-chain operator, TXcall Friday
Qualified
3PL platform, Rotterdamproposal sent
#1 Mid-size 3PLs, DACH 27 sources · 4 competitors mapped approved
#2 E-commerce fulfilment, Benelux 19 sources · pricing teardown in review
#3 Cold-chain logistics, US South 23 sources · 2 angles drafted queued
DK Dana K. — owner answers in ~41 min median fast
PB Piotr B. — member answers in ~2.4 h median on pace
+ Invite your team named accounts, roles, full audit trail 2 seats free

Replies land here the minute they arrive — answer them yourself, or let your team take them.

Cost per lead

Let’s do the math in public.

Take the budget. Divide it by what comes back. No asterisks — the same slider, the same table, one division.

At $10,000 / month, one qualified lead costs you $133–222 and the price per lead keeps falling as the engine scales
Synced with the console up top — same engine, different lens.

What we count — so nobody plays word games:

Planned monthly emails

Expected monthly outbound email volume across all sequence steps.

Replies

All human replies captured and available for triage, including neutral, negative, and irrelevant replies.

Positive replies

Replies that indicate business interest, curiosity, referral, problem-fit, or openness to continue.

Qualified leads

Positive replies that survive qualification — counted conservatively as half of positive replies.

The gate

Start the AI market scan.

This form is longer than you expected, on purpose. Every answer becomes research input, and that research is why your first campaign comes out specific instead of generic. The AI reviews every field — thin answers come back to you.

Company Offer Market Evidence Operations Budget
The primary public source for the market scan.
Decides whether outbound economics make sense for you.
Reply speed is where pipelines are won and lost.
Synced with the console above — change it here if needed.

Do not submit secrets, passwords, private customer lists, or confidential documents unless SLSBMB explicitly asks for them later.