AI Workflow Automation
Less busywork. More work that matters.
We connect research, content, outreach, and reporting into AI workflows built around your team’s tools and review process.
Trusted by teams at
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 genuine 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 genuine risk, not vanity metrics.
What we put in place together
- Workflow mapping and system design across SDR, AE, and CS playbooks
- 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 process, and AI opportunity.
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 workflow. Full pipeline impact follows in the next quarter as the workflows keep building.
Ready to grow?
Book a call to discuss your business, industry, and unique opportunities to see how we can help you scale.
Not ready for a call? Reach out directly → hey@makereality.io