AI Workflow Automation
AI-powered workflows across the revenue stack, built, deployed, measured.
AI is most powerful when it is embedded directly in the revenue engine: prospecting faster, researching deeper, personalizing at scale, and freeing your team to do work humans are actually better at. We build those systems end-to-end.
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What you get
Intelligent Prospecting
Automated ICP scoring, signal detection, and account prioritization powered by LLMs and your own revenue data.
Personalized Outreach
Dynamic sequences that reference real research, firmographic context, and timely signals, not generic merge tags.
Qualification & Routing
AI agents that qualify inbound, enrich records, and route to the right rep in seconds, not days.
Follow-up & Forecasting
Automated deal research, follow-up orchestration, and pipeline analytics that highlight real risk, not vanity metrics.
What we build together
- Workflow mapping and system design across SDR, AE, and CS motions
- Prompt libraries, evaluation, and guardrails
- Integration across CRM, sequencer, enrichment, and data tools
- Agent orchestration (Clay, n8n, custom, or native)
- Live analytics and team training on new workflows
Revenue workflows that run faster, personalize deeper, and scale without linearly scaling headcount.
Book a Discovery CallWhere AI Workflow Automation shows up in your business
The four use cases this service most often plugs into, each with its own playbook, deliverables, and outcome.
Who we run AI Workflow Automation for
The industries we know best, each with a different buyer, sales motion, and AI leverage point.
Questions buyers ask about AI Workflow Automation
The objections we hear most often before a discovery call, answered up front.
We're tool-agnostic but opinionated. Common stack: Clay, n8n, OpenAI / Anthropic APIs, HubSpot or Salesforce, Apollo, and custom agents where the off-the-shelf tools fall short. We pick what fits the workflow, not the other way around.
Every workflow ships with prompt libraries, evaluation criteria, and human-in-the-loop checkpoints for high-stakes touchpoints. We measure quality continuously, not just velocity.
No, it makes them dramatically more productive. AI handles research, drafting, enrichment, and routing so people spend their time on conversations, judgment, and relationships.
Most teams see meaningful workflow improvements in 30–60 days, typically 2–5x throughput on the targeted motion. Full pipeline impact follows in the next quarter as the workflows compound.
Stop talking about AI. Start shipping workflows.
30 minutes to map 2–3 specific AI-leveraged workflows that would compound output for your revenue team in the next 90 days.
The Manifest.
Field notes from a fractional CMO building real AI inside revenue teams. Sent only when the insights matter, no noise.
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