Saksham.

The AI Outbound Engine

I deploy the full system: signal sourcing, AI-written outreach, managed inbox operations, and delivery infrastructure. You get qualified meetings on your calendar. Here is exactly how it works, piece by piece.

Five deliverables. One outcome: booked meetings.

This is not a tool. It is not a SaaS subscription. It is a fully deployed, fully managed outbound engine that I build, operate, and optimize for your business.

Triggered Account Feed

Real-time identification of accounts showing buying signals: hiring, funding, tech stack changes. Not a static list. A living pipeline of triggered buyers.

Context-Aware Outreach

Every message references the specific trigger, the prospect's context, and your value prop. No templates. No batch-and-blast. Each message earns its open.

Managed Inbox Operations

I handle every reply: positive, negative, objection, question. The AI classifies intent, drafts a response, and a human verifies before sending.

Weekly Performance Reports

Full visibility into signals identified, outreach sent, reply rates, meeting conversion, and pipeline value. You know exactly what the system is doing.

Qualified Meetings Held

The metric that matters. Not emails sent. Not leads generated. Actual meetings held with ICP-fit contacts who showed up and are ready to talk.

01
Layer One

Signal Sourcing

The engine continuously monitors your target market for real-time buying signals. Not intent data scores. Actual observable triggers that indicate a company has a problem you solve, right now.

Hiring signals: new roles that indicate strategic shifts
Funding rounds: fresh capital creates new priorities
Tech stack changes: tool adoptions that signal readiness
Leadership changes: new leaders bring new budgets
Public pain signals: complaints, reviews, social posts
signals.outbound-engine.ai/feed
Live Signal Feed
24 new today
HIRING

Acme SaaS

Posted "Head of Revenue Operations"

FUNDING

NovaTech

Series B, $18M raised from Sequoia

TECH

CloudOps Inc

Added HubSpot + Outreach to stack

PAIN

DataFlow

CEO posted about SDR turnover on LinkedIn

HIRING

Scalepoint

Posted "VP of Sales", remote, US

Monitoring 2,340 accountsView all signals →
signals.outbound-engine.ai/enrich
Enrichment PipelineLast run: 3 min ago
SW

Sarah Williams

VP of Sales · DataFlow · Series A

9.1
Company size85 employees
IndustryB2B SaaS
Revenue est.$4M-8M ARR
Tech stackHubSpot, Outreach
TriggerHiring Rev Ops
Signal age< 48 hours
Email verifiedICP matchNo DNCScore 8+
Email waterfall verified94%
ICP match score78%
AI score 8+ (outreach ready)34%
02
Layer Two

Enrichment & Scoring

Every triggered account goes through a multi-step enrichment and scoring pipeline. I verify contact data, score fit against your ICP, and only allow the highest-quality prospects into the outreach queue.

Verified email waterfall with multiple providers, cross-checked
AI scoring on a 1-10 scale using ICP criteria and signal strength
Only accounts scoring 8+ get outreach. No exceptions
Firmographic, technographic, and intent data layered in
Contact-level enrichment: title, tenure, reporting structure
03
Layer Three

AI Outreach Brain

The core of the engine. An n8n-orchestrated workflow powered by LLMs with custom guardrails that writes genuinely personalized outreach for each prospect based on their specific trigger and context.

n8n orchestration + LLM generation + custom guardrails
Each message references the specific trigger that surfaced the account
Tone, length, and angle calibrated per persona and industry
Multi-channel sequences: email, LinkedIn, follow-up cadences
Guardrails prevent hallucinations and off-brand messaging
n8n-outreach-engine
> Loading outreach workflow...
> Config loaded for: DataFlow campaign

# Workflow: outreach-brain-v3
# Target: Sarah Williams (VP Sales @ DataFlow)

trigger: HIRING: Head of Revenue Operations
signal_age: 18 hours
icp_score: 9.1 / 10
persona: VP Sales, B2B SaaS, 50-150 emp

# LLM generation with guardrails
model: claude-sonnet-4-6
temperature: 0.7
max_tokens: 280
guardrails:
  - no_false_claims
  - trigger_reference_required
  - tone_check: direct, operator
  - length_cap: 4 sentences

# Generated output
subject: "Saw you're hiring a Rev Ops lead"
status: APPROVED // all guardrails passed
queue: READY_TO_SEND

> Draft queued for human review
> Sequence: email_1 → wait_3d → email_2 → linkedin
infra.outbound-engine.ai/health
Infrastructure Health
All systems nominal

12

Warmed Domains

<1.8%

Bounce Rate

0.3/10

Spam Score

97%

Inbox Placement

Authentication Status

SPF Record
All 12 domainsPass
DKIM Signature
RSA-2048Pass
DMARC Policy
p=quarantinePass
Daily Send Cap
25/domain/dayEnforced
Warmup Status
30-day ramp doneComplete

Daily Send Volume (14 days)

avg: 280/day
04
Layer Four

Delivery Infrastructure

Great outreach is worthless if it lands in spam. I build and manage the entire delivery infrastructure: warmed domains, authentication, reputation monitoring, and strict sending caps to keep every email in the primary inbox.

12+ warmed sending domains, rotated across campaigns
SPF, DKIM, and DMARC authentication on every domain
Strict daily sending caps to protect sender reputation
Bounce rate held below 2% with real-time monitoring
Inbox placement testing before every new campaign launch
05
Layer Five

Managed Inbox

When prospects reply, the system kicks into a human-AI loop. The AI classifies intent, retrieves context from the original trigger, drafts a response, and a human operator verifies before anything gets sent. Speed of AI. Judgment of a human.

AI classifies every reply: interested, objection, question, not now
Context retrieval pulls the original trigger and outreach history
AI drafts a response calibrated to the reply type and tone
Human operator reviews and approves before sending
Qualified interest is routed directly to your calendar
inbox.outbound-engine.ai/replies

15 Qualified Meetings in 45 Days

Not leads. Not emails sent. Actual meetings held with ICP-fit contacts who show up and are ready to have a real conversation with your team.

Only Qualified Meetings Count

A QMH is a meeting that actually happens with a contact who matches your ICP and has expressed genuine interest. No-shows and wrong titles do not count.

I Keep Working Until We Hit It

If we do not reach 15 meetings in 45 days, I continue running the engine at no additional monthly cost until the guarantee is fulfilled.

Aligned Incentives

My per-meeting fee only kicks in when meetings happen. Your costs are predictable and directly tied to the outcome that matters.

Simple. Transparent. Outcome-linked.

No hidden fees. No long-term lock-in. Three components, all designed to align my incentives with yours.

01

Setup & Launch

One-time

ICP definition, signal source configuration, domain procurement and warming, workflow deployment, initial outreach copy, and full system launch. Everything needed to go live.

Covers: infrastructure, configuration, first 45-day sprint

02

Monthly Operations

Recurring

Ongoing system management, signal monitoring, outreach optimization, inbox operations, reply management, weekly reports, and continuous performance tuning.

Covers: all operations, tooling costs, human review, reporting

03

Pay Per Meeting

Performance

A per-meeting fee for every Qualified Meeting Held. Only charged for meetings that actually happen with ICP-fit contacts who show up. My upside is tied directly to your results.

Charged: only for verified QMH that meet agreed criteria

This works best for a specific type of company.

Not every business needs an AI outbound engine. Here is who gets the most value and the fastest results.

B2B with $15K+ ACV

Your deal size justifies personalized, signal-driven outreach.

Sales-led motion

You close deals through conversations, not self-serve signups.

11-200 employees

Big enough to invest in pipeline, lean enough to need efficiency.

Proven product-market fit

You know what you sell and who buys it. I handle the pipeline.

Defined ICP

You can describe your best customer by title, company size, and industry.

Ready to close

You have a closer (you or a rep) who can handle the meetings I book.

Common questions, straight answers.

How is this different from hiring an SDR agency?

SDR agencies rely on humans doing repetitive work: researching, writing templates, sending in bulk. I deploy an AI system that identifies triggered buyers in real time, writes genuinely personalized outreach per prospect, and manages replies with a human-in-the-loop. The system gets smarter over time. An SDR agency gets more expensive.

What if I already have a sales team?

Even better. The AI Outbound Engine feeds your closers qualified meetings. People who have already engaged, replied, and confirmed interest. Your sales team stops prospecting and starts closing. Most clients see their closers become 2-3x more productive because they spend zero time on top-of-funnel.

How do you define a "Qualified Meeting Held"?

A QMH is a meeting that actually happens (not just booked) with a contact who matches your ICP, has expressed genuine interest through the outreach sequence, and shows up to the call. No-shows, wrong titles, and disqualified contacts do not count. I only get paid for meetings that meet the agreed criteria.

What happens if you don't hit 15 meetings in 45 days?

I keep working at no additional monthly cost until we hit the target. The system stays active, the infrastructure stays live, and I continue optimizing until the guarantee is fulfilled. My incentives are fully aligned with yours. I do not get paid per meeting until meetings happen.

Do I need to provide a lead list?

No. The system builds its own triggered account feed using real-time signals: hiring changes, funding rounds, tech stack shifts, job postings, public pain signals. You define your ICP criteria, and the engine identifies accounts that match and are actively showing buying intent.

What tools and platforms does the system use?

The core orchestration runs on n8n with LLM integration (Claude) and custom guardrails. For delivery infrastructure, I use dedicated warmed domains with proper SPF/DKIM/DMARC authentication. Signal sourcing pulls from LinkedIn, Clay, job boards, funding databases, and technographic providers. The exact stack adapts to your needs.

How long before I see the first meetings?

Domain warming and infrastructure setup takes 2-3 weeks. Signal sourcing and initial outreach begin in week 2. Most clients see their first qualified replies by week 3 and first meetings held by week 4. The 45-day guarantee window starts from the day outreach goes live.

What industries does this work for?

Any B2B company with an ACV of $15K+ that sells through a sales-led motion. I have deployed this for SaaS, professional services, IT consulting, cybersecurity, fintech, and more. If you sell to businesses and your deal size justifies personalized outreach, the system works.

Ready to deploy?

Book a strategy call. I'll walk you through exactly how the AI outbound engine works for your specific market, ICP, and deal size.

Book a strategy call