Research, Outreach, Approvals, Replies

Your pipeline is not empty. It is unresearched, unfollowed, and quietly rotting.

Research, drafts, approvals, replies, continuous learning, and controlled review inside one outbound employee.

I install an outbound AI employee that sources or imports leads, researches accounts, drafts outreach and resources, queues approvals, reads replies, and reports outcomes.

Find the outbound leak →

Two Install Paths

Same outbound. Choose the operating shape.

This page works for both buyers: teams that want Autoage to handle the role as an AI Employee, and AI-native teams that already use Claude Code, Codex, or an internal AI OS and want the role installed as a pack they can operate.

Outbound AI Employee

Managed

Best when you want the outcome handled without operating the AI layer yourself. Autoage scopes the job, builds the employee, helps run launch and ramp, monitors the work, and keeps risky edges behind approval gates.

  • Owns: day-to-day role execution and improvement rhythm.
  • You review: approvals, exceptions, results, and commercial decisions.
  • Good for: teams that want capacity without becoming AI operators.

Outbound Role Pack

Owned OS

Best when your team already has an AI OS and wants the same outbound workflow installed inside it. The pack gives your team the role boundary, prompts, SOPs, tool contracts, tests, runbook, logs, and handover record.

  • Owns: the operating logic your internal team can run and extend.
  • You operate: Claude Code, Codex, or your internal AI OS after launch/ramp.
  • Good for: technical teams that want control, portability, and source visibility.

Both paths include scope, acceptance testing, approval gates, docs, launch/ramp support, and a handover path. Ongoing management is optional for either path; the difference is who operates the AI layer after the role is live.

7-Layer AI Research

Deep research before a single message is sent.

Not spray-and-pray. Not template swaps. Each lead gets individual research across 7 distinct data dimensions so the outreach naturally references their specific current situation.

👤

LinkedIn Profile

Role, tenure, career trajectory, shared connections

🏢

Company Research

Size, revenue, tech stack, growth stage

📰

News & Funding

Recent press, funding rounds, leadership changes

💼

Job Postings

Hiring signals that reveal internal gaps and priorities

🌐

Website Analysis

Services, positioning, technology, content gaps

🎯

Pain Point Mapping

Industry-specific challenges matched to their signals

✍️

Personalization Angles

Specific hooks for email and LinkedIn copy

Compare The Options

What you are really choosing between.

Junior SDR

Human hire

  • •3 month ramp time
  • •One channel (usually phone)
  • •Human hours only
  • •Turnover risk

BDR Agency

Done-for-you agency

  • •Generic playbook
  • •Shared attention across clients
  • •Template-based outreach
  • •You rent, not own

DIY Tools

Tool stack

  • •Still need someone to run it
  • •No research or enrichment
  • •Manual personalization
  • •No signal detection

Outbound AI Employee

Managed worker

  • ✓Signal research
  • ✓Drafts outreach
  • ✓Queues approvals
  • ✓Reports outcomes

Pipeline Calculator

Find the work hiding inside your pipeline.

Outbound Pipeline Calculator

See what signal-based outbound could do for your business.

Your Business

Current Situation (optional)

How It Works

From setup to pipeline.

1

Work Surface And Role Boundary

Define the outbound job, source lists, CRM fields, allowed tools, approval points, and what the employee is not allowed to do.

2

Lead Research And Evidence Pack

Each account gets structured research, signal notes, fit checks, and source links before copy or resources are drafted.

3

Fit Classification

The employee classifies leads as direct fit, referral fit, nurture, or reject so the team does not waste time on weak accounts.

4

Drafting And Approval Queue

Outreach, resources, and follow-ups are drafted from the research, then queued for approval before any external send.

5

Reply Handling

Replies are classified, summarized, and routed with suggested next steps. Warm opportunities reach the human owner with context.

6

Continuous Learning, Controlled Review

Every run can capture approvals, edits, reply patterns, bad fits, and missed context. Daily corrections improve the employee; controlled review decides what gets promoted into SOPs, prompts, tools, and rules.

FAQ

Common questions.

How does the Outbound AI Employee work?+
It works from an approved role boundary: source or import leads, research accounts, draft outreach assets, queue approvals, classify replies, and report what happened. External sends stay approval-gated unless a different boundary is agreed.
Can this be a Role Pack instead of an AI Employee?+
Yes. If your team already works inside Claude Code, Codex, or an internal AI OS, the same outbound workflow can be installed as a Role Pack: role boundary, prompts, SOPs, tool contracts, tests, runbook, logs, and handover docs. The AI Employee path is for teams that want Autoage to operate the role for them.
What channels can it support?+
The usual surfaces are LinkedIn, email, CRM rows, sheets, docs, and approval queues. The exact channels depend on consent, tooling, risk, and what the business already uses.
Can I start with research only?+
Yes. The first employee can start with lead research, fit classification, and draft preparation before any outbound send workflow is connected.
How do you know it is ready to go live?+
Live means accepted against representative work: agreed inputs, outputs, approval path, logs, owner sign-off, and clear escalation rules.
Do I own the employee?+
Where practical, the client owns the runtime, accounts, data, logs, docs, source pack, and handover record. The goal is useful outbound capacity without a black-box wrapper.
What industries does this work for?+
Any B2B market where the prospecting work can be scoped, sourced, reviewed, and measured. The role is customized to the buyer's ICP, channels, examples, compliance boundaries, and approval rules.
How is this different from buying a lead list?+
Lead lists are static snapshots. The employee researches current signals, builds a short evidence pack, and drafts outreach from what is actually happening now.
What if I already have an SDR?+
It doesn't replace your team. It gives them a pipeline of pre-researched, signal-qualified leads instead of cold lists. Your SDR focuses on conversations, not prospecting.
Can I see what messages are being sent?+
Yes. Drafts, approvals, sends, replies, and outcomes are visible. External sends stay behind the approval path you agree before launch.

Stop calling it pipeline.
It is recurring work.

Run the calculator above to see the leak. Then let's talk about whether an outbound employee should own that work.

Book a work-leak call →