AI-Powered GTM Systems
Deploy a GTM System in 90 Days
We design and deploy agentic AI systems that identify opportunities, make decisions, and execute across your GTM stack.
These systems don't automate tasks. They execute your GTM motion.
2–4 weeks to first impact. 90 days to full system.
Data Layer
CRM · Clay · Signals
Intelligence
Context · Scoring · Output
Execution
Email · LinkedIn · CRM
2,400
Accounts
18
Sequences
+145
Appts / wk
Live Agent Workflow
See how an agent operates inside your GTM stack
A single trigger sets off a chain of agent actions — no human input required at any step.
View full exampleThe Problem
Most GTM teams don't have a strategy problem.
They have a systems problem.
We fix that by building the systems.
Most teams see impact from their first system within 2–4 weeks.
Under the Hood
What an agent actually does
A single agent can detect a trigger, score an account, generate outreach, execute it, and log the result — in minutes, without human input.
Each agent monitors live signals, evaluates context, makes decisions, and executes — without waiting for a human to trigger the next step.
Signal detection
Agent monitors funding events, hiring signals, and intent data in real time.
Decision layer
Evaluates ICP fit, scores the account, and determines whether to proceed.
Execution layer
Generates outreach, selects channel, deploys sequence, logs to CRM.
System of Agents
Multiple agents. One connected system.
Each agent handles a specific function. Together they run your GTM end-to-end.
Each agent operates independently and shares context across the system in real time.
This is a system of agents that replaces manual GTM execution.
How We Work
A Structured 90-Day Build Process
System Design & Data Mapping
Map existing stack, define data flows, set success metrics.
Build & Integration
Clay, CRM, outbound platforms, and AI layer wired together.
Launch & Optimization
System goes live. Monitor, tune, and accelerate.
Handoff & Scaling
Documentation, team onboarding, and scale playbook delivered.
Every engagement follows a defined system. No guesswork. No delays.
Full System Architecture
End-to-End GTM System
How data flows from signal to execution and back
Data Sources
CRM
Salesforce · HubSpot · Attio
Clay
Enrichment · Waterfall Logic
Signals
Intent · Job Changes · Site Visits
AI Layer
Analysis
ICP Fit · Prioritization · Context Mapping
Message Generation
Personalized · On-brand · Sequenced
Execution
Multi-step Sequences · Auto Follow-ups
Connection Requests · DMs · Comments
CRM Updates
Auto-sync · Stage Changes · Activity Log
Feedback Loop
Performance Tracking
Opens · Replies · Meetings Booked · Conversions
Optimization
Messaging · Targeting · Timing · Sequence Logic
Feedback loop continuously improves targeting, messaging, and timing — the system gets smarter with every cycle.
Systems We Build
GTM Systems We Build
Four core systems deployed across marketing, sales, and RevOps.
Build a fully automated marketing operations system
We implement
- Lead enrichment and scoring via Clay
- AI-driven segmentation and routing
- CRM lifecycle automation in HubSpot
Outcome
A system that automatically prepares, prioritizes, and routes pipeline without manual work.
Agent detects a new MQL, scores it against ICP, routes to the right sequence, and logs to HubSpot — no human touch.
Deploy a scalable outbound system for pipeline generation
We implement
- Signal-based targeting (funding, hiring, intent)
- AI-generated personalization at scale
- Multi-channel execution via Instantly and LinkedIn
Outcome
Consistent pipeline generation without increasing headcount.
Agent detects a hiring signal, enriches the account, generates outreach, and launches a sequence within minutes.
Automate retention and expansion workflows
We implement
- Usage and engagement tracking
- AI-triggered outreach and alerts
- Expansion and renewal workflows
Outcome
Increased retention and expansion without manual follow-up.
Agent detects a drop in product usage, triggers a personalized check-in, and flags the account for renewal review.
Build a unified GTM operating system
We implement
- CRM architecture and lifecycle stages
- Attribution and reporting frameworks
- Automated workflows across marketing and sales
Outcome
A clean, scalable GTM infrastructure that supports growth.
Agent monitors CRM data quality, fills missing fields via enrichment, and syncs attribution across the stack daily.
How the System Works
Three systems. One connected workflow.
Each diagram represents a live system — built, deployed, and running.
Clay
Enrich + Score
AI Engine
Analyze + Generate
Outreach
Email + LinkedIn
CRM
Log + Sync
Signal
Intent detect
Score
ICP fit
Generate
AI message
Deploy
Sequence
Track
Replies + mtgs
Brief
Topic + ICP
Research
SERP + LLM
Generate
AI draft
Publish
CMS + SEO
Pipeline Generation System
From signal to booked meeting — fully automated.
Watch how the system moves from a trigger event to a personalized outreach sequence, without a single manual step.
Pipeline Generation Agent
How the system runs
Trigger Events
Intent · Job Changes · Visits
Clay Enrichment
Contacts · Firmographics · Signals
AI Personalization
Messaging · Context · Tone
Email + LinkedIn
Sequences · Cadences · DMs
CRM Update
Sync · Track · Attribute
< 5 min
Trigger to outreach
100%
Personalized messages
Auto
CRM sync on reply
System Architecture
Built around how your GTM actually works.
Data Layer
CRM · Clay · Signals
Pull from CRM, Clay enrichment, intent signals, and product data to build full account context.
AI Layer
Analysis · Generation
AI scores fit, identifies timing, and generates personalized messaging and content.
Execution Layer
Email · LinkedIn · CRM
Actions deploy across email, LinkedIn, and CRM — with full activity logging on every touch.
Feedback Loop
Optimization
Captures opens, replies, and meetings. Feeds results back to improve targeting and timing over time.
// Real Execution Example
signal: "Series B funding detected — Acme Corp"
→ clay.buildContactList("VP Sales, CRO, CEO")// 14 contacts enriched
→ ai.generateMessage(contact, brandVoice)// personalized per contact
→ outreach.send(["email", "linkedin"])// deployed in 4 min
→ crm.logMeeting("Meeting booked: 3 days later")
✓ Pipeline created. Zero manual steps.
Why DemandLab
Built for Speed. Designed to Execute.
Most GTM projects take 6–12 months before producing results. We deploy fully operational systems in under 90 days.
Built for Speed
Most GTM projects take 6–12 months before producing results. We deploy fully operational systems in under 90 days.
Productized Approach
Every system is built using proven frameworks across Clay, HubSpot, outbound platforms, and AI tools — not built from scratch.
Operator-Led Execution
Our team consists of hands-on GTM operators who build and launch systems. Not strategists. Not consultants.
Our Model
This is not a traditional agency
What this is not
Not a traditional agency
We don't sell hours or retainers
No strategy decks without execution
No handoff to a junior team
What this is
Systems that run your pipeline
We build and deploy the full system
Operational in under 90 days
Continues generating results after handoff
Who This Is For
Built for GTM teams ready to operate at scale.
We work with B2B SaaS GTM teams that are ready to replace manual execution with systems. If your team is still doing by hand what a system could do at scale, this is built for you.
You already have a GTM motion in place
Your team is executing manually
You want to scale pipeline without scaling headcount
The Stack
Your Stack, Rewired Into an Agentic System
We don't replace your tools. We connect them into a system of agents that thinks, decides, and executes across your GTM stack.
Clay identifies signals
AI agents make decisions
Outreach platforms execute
CRM systems update automatically
All working together as a single agentic system.
Ready to Deploy Your GTM System?
If you need a system that generates pipeline — not another strategy deck — let's talk.