Who this is for
B2B service businesses with a defined offer, a clear ideal customer profile, and a founder or sales lead who can approve final outreach before anything is sent.
A combined setup-and-monthly offer where AI-assisted agents research high-fit prospects, qualify lead fit, draft personalized emails and social DMs, coordinate follow-up timing, and keep the pipeline organized for human-approved outreach.
Human approval: no emails, DMs, calendar bookings, publishing, or major public claims happen without the right human approval gate.
B2B service businesses with a defined offer, a clear ideal customer profile, and a founder or sales lead who can approve final outreach before anything is sent.
You want volume scraping, generic outreach, or a “set and forget” sender. This offer builds a managed pipeline desk with human approval, specific research, CRM discipline, and follow-up timing.
This replaces the short outreach pilot and the separate managed sales-ops offer with one stronger operating system: setup, then ongoing monthly pipeline production.
The pilot side gives fast daily throughput: qualified lead recommendations, personalized email drafts, social DM drafts, research notes, and follow-up timing. The managed-ops side gives repeatable rhythm: CRM hygiene, pipeline status updates, booking-readiness handoffs, and weekly improvement based on replies.
Clarifies segments, buying triggers, competitor context, geography, and prospect signals so the team does not waste time on poor-fit leads.
Scores prospects against the ICP, captures why each lead is a fit, and flags unclear or high-value opportunities for human review.
Drafts specific email angles based on company context, trigger events, visible positioning, and the offer being tested.
Drafts platform-appropriate connection notes and DMs that sound human, specific, and respectful rather than automated.
Prepares reply handling notes, suggested next steps, and scheduling handoff language only after a prospect clearly agrees to a call.
Keeps the lead sheet or CRM current: stage, last touch, next follow-up, owner, notes, and booking status.
We define the ICP, disqualifiers, lead-source rules, CRM or sheet structure, approval flow, messaging boundaries, and example outreach standards. The goal is to make the first month operational, not theoretical.
Setup also includes the working prompt library, lead scoring criteria, spreadsheet/CRM fields, draft templates, review rules, and escalation paths for unclear, risky, or unusually valuable opportunities.
Each month the agents produce daily lead recommendations and draft outreach batches, maintain pipeline status, suggest follow-up timing, and summarize learning from replies or non-replies.
The human owner stays in control: they approve sends, decide which prospects deserve extra attention, and confirm calendar bookings only after prospects clearly agree to a call.
Emails and DMs stay as drafts until an approved human reviews them. The system can prepare, organize, and recommend — it does not send cold outreach behind your back.
We do not promise a fixed number of discovery calls before there is evidence. Success is measured by lead quality, approved outreach prepared, positive replies, booked calls, show-up rate, and cost per booked call.
Every recommended lead needs a fit rationale. Every outreach draft must reference something specific about the prospect, company, market, or visible trigger.
Google Search, LinkedIn research, Google Sheets or Airtable, CRM systems, email platforms, Google Calendar, and approved APIs through MCP, CLI, and secure integrations — based on what is appropriate for the client.
Unclear fit, sensitive prospects, high-value opportunities, legal/compliance concerns, unusual replies, partnership possibilities, and anything that could affect brand reputation.
[PROOF NEEDED: client result, testimonial, or case-study metric before adding performance claims.]
A cheap outreach service can describe deliverables in a paragraph. A serious AI-assisted sales pipeline needs more clarity: which agents do what, where humans approve, how quality is maintained, what gets tracked, and what is explicitly not automated.
That clarity is the offer. The work is not “AI sends more messages.” The work is a repeatable pipeline desk that helps your team identify better prospects, prepare better conversations, and follow up with discipline.
Tell us enough to assess fit. We will review the context, confirm the right approval rules, and come back with next steps.