We build AI-powered RevOps infrastructure that connects your CRM, analytics, ads, email, LinkedIn, and WhatsApp into a single revenue engine — so every tool pays for itself.
Each handling a distinct marketing function
AI tools assist. AI agents execute. The difference? Agents work autonomously, make decisions, and coordinate with other agents to complete complex marketing workflows end-to-end.
Each agent is purpose-built for a specific marketing function. Together, they form a complete autonomous marketing system.
Orchestrated multi-agent systems that collaborate across marketing functions
Automated search optimization for traditional and AI-powered search engines
End-to-end content pipeline from research to publishing with revenue attribution
We connect your data sources through orchestration platforms like N8N and Relevance AI, powered by Claude Code and other leading LLMs. These route tasks to specialized agent workflows that execute across your marketing channels — all in real-time. No proprietary black box. Just the best AI tools, expertly configured for your business.
Connects to CRM (HubSpot/Salesforce), intent platforms (6Sense, Bombora), enrichment tools (Clay, Apollo, ZoomInfo), and analytics (GA4, GSC).
Beyond individual agents — the orchestration layer we configure using Claude Code, N8N, and Relevance AI provides the infrastructure that makes autonomous marketing possible.
Agents analyze data, identify opportunities, and take action without waiting for human approval on routine tasks.
When the Research Agent finds a high-intent account, it automatically triggers the SDR Agent and Content Agent simultaneously.
Set approval gates for high-stakes actions. Agents handle the 80% — humans approve the 20% that matters.
Agents remember past interactions, learn from outcomes, and improve their approach over time. No context is lost.
Email, LinkedIn, WhatsApp, content publishing, paid ads, and CRM updates — all from a single orchestrated system.
Every agent action is tracked back to pipeline and revenue. Know exactly which agent-driven activity created each opportunity.
We plug into your existing stack using industry-leading orchestration engines. No proprietary lock-in, no rip-and-replace — we configure the best AI tools to work with what you already have.
Let’s discuss which agents fit your marketing goals and how quickly we can get them running.
We use platforms like N8N and Relevance AI as the orchestration backbone, powered by Claude Code for reasoning. When an intent signal is detected, the Research workflow builds an account profile, the Content workflow creates personalized messaging, and the SDR workflow executes outreach — all automatically coordinated through these configured automation layers. We set up, optimize, and manage this for you.
Our agents handle content creation and SEO optimization, email outreach and follow-ups, LinkedIn and WhatsApp automation, account research and intelligence, lead qualification and scoring, campaign optimization, and revenue attribution — all with human-in-the-loop controls for high-stakes decisions.
No. They handle repetitive, data-intensive tasks at scale — freeing your team to focus on strategy, creativity, and relationship building. Think of them as tireless team members who handle the 80% of execution work so your humans can focus on the 20% that requires judgment and creativity.
The agent workflows we configure integrate with CRM systems (HubSpot, Salesforce), intent platforms (6Sense, Bombora), enrichment tools (Clay, Apollo, ZoomInfo), analytics (GA4, GSC), email platforms (Instantly, Smartlead), social (LinkedIn, WhatsApp), and content systems (WordPress, Webflow) — 25+ connectors in total. All built on N8N, Relevance AI, and Claude Code as the underlying engines.
Initial deployment takes 2-4 weeks depending on complexity. Week 1 covers data source integration and workflow configuration on N8N/Relevance AI. Week 2-3 involves testing and calibration of the Claude Code-powered logic. By week 4, agents are running autonomously with human oversight. Full optimization happens over 60-90 days as the workflows learn from outcomes.
Three layers of quality control: 1) We configure the LLM prompts and workflows with your brand voice, ICP data, and messaging guidelines. 2) Human-in-the-loop approval gates for sensitive actions. 3) Continuous feedback loops where outputs are scored and the system self-corrects based on performance data. Since we use Claude Code and other top-tier LLMs, the reasoning quality is best-in-class.
Clients typically see 3-5X increase in outreach volume with the same team size, 40-60% reduction in cost-per-meeting, 2-3X improvement in content output, and measurable pipeline attribution within 90 days. The exact ROI depends on your current baseline and the agents deployed.
