
How Agent IQ Scaled Pipeline, Automated Marketing Operations, and Built AI Leverage Using the Full ATQLeads Growth Ecosystem
Company
Goal
Target Market
Agent IQ is an AI-powered digital banking platform used by banks and credit unions across North America. Despite having strong product-market fit, they faced a common scale-up challenge: an insufficient marketing and operational capacity to capture the market demand.
With a lean marketing department (1 full-time marketer + 1 SDR), the main challenge was simply bandwidth. Too much work, not enough hands. They needed a way to scale their growth and output without aggressively scaling headcount. They didn't need "more tools" — they needed a unified GTM system and intelligent automation.
The Challenge
Agent IQ needed to increase content velocity, automate manual outreach, and build a unified engine to convert intent signals into pipeline.
Strategy & Approach
We deployed the full ATQLeads Growth Ecosystem in three distinct phases to build infrastructure, inject AI intelligence, and provide fractional support.
Phase 1: ATQ Tech (The Engine)
We architected a fully automated, multichannel outbound and intent-driven acquisition engine aligned to their CRM.
Multi-channel outbound system connected across LinkedIn + email + voice
Automated plays triggered by buyer intent signals from ZoomInfo and inbound engagement
Live HubSpot integration to sync every activity, contact, and outcome
Dynamic segmentation based on keywords, industry, and digital behavior
Built advanced acquisition and nurturing workflows using Clay and Make.com
Phase 2: ATQ Agent (The Intelligence)
Marketing Assistant AI Agent
We built a custom AI agent that acts as a true second brain for the CMO. Fully trained on Agent IQ’s market environment, ICP, value proposition, competitors, and offering, the agent continuously scans websites, newsletters, and influencer content, applies domain-specific intelligence, and turns insights into high-impact content. It autonomously selects relevant topics, crafts written and visual assets (blogs, LinkedIn posts, ads), and publishes them directly to Agent IQ’s website and LinkedIn, while keeping humans in the loop for review and control.
Context-Aware
The agent is deeply trained on Agent IQ’s positioning, audience, and competitive landscape. Using this contextual knowledge, it identifies and prioritizes topic ideas most likely to generate engagement, reinforce differentiation, and strengthen brand authority, ensuring every piece of content aligns with market reality and strategic goals.
Autonomous Operation
This is not a chat interface. The agent operates end-to-end: sourcing data, selecting weekly topic ideas, generating copy and visuals, and publishing content across the right channels. Human oversight remains built-in, but no manual prompting or orchestration is required—turning strategy into execution automatically.
Phase 3: ATQ Squad (The Execution)
They brought in a Fractional GTM Engineer to operate as an extension of the marketing team, optimizing workflows, building new automation triggers, testing new channels, and ensuring continuous improvement of the core system.
Results & Impact
Agent IQ now runs a modern, intelligent, and leverage-based GTM motion without expanding its internal team.
Key Achievements
🟧 Replaces manual research, ideation, and copywriting with AI
🟧 SDR always has fresh pipeline generated automatically
🟧 Faster campaign velocity without increasing headcount
🟧 Multichannel nurturing via search ads, social ads, and weekly outreach to drive engagement and advance leads through the funnel
🟧 Enhanced analytics and attribution to track performance and continuously optimize GTM execution
The Takeaway
Agent IQ proves that scalability doesn't always require hiring more people. By leveraging ATQLeads to build the right systems and deploy custom AI agents, they unlocked the output of a 5-person marketing team with just 1 marketer and an SDR.
