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AI Automation Agency

AI automation agency for growth systems that actually ship

We identify the workflows slowing growth, then build practical AI automations that capture leads, route work, update systems, and give your team hours back every week.

Cards routed through a main channel and a separate review branch.
AI-generated conceptual illustration; not a customer system or measured result.

What We Automate

BrainGlow focuses on revenue and operations workflows where speed, consistency, and clean handoffs matter.

Review the scope
  • Lead qualification and routing
  • CRM updates and task creation
  • AI follow-up and nurture flows
  • Internal reporting and handoff automation

How We Build

Every automation starts with process mapping, risk review, and measurable success criteria before implementation.

Review the scope
  • Workflow audit
  • System architecture
  • Tool and API integrations
  • Testing, launch, and monitoring

Built around measurable growth

The first step is a Glow Audit: a focused review of your website, CRM, automation, funnel, analytics, and offer clarity. You leave with a prioritized roadmap and clear implementation options.

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Find the highest-ROI fixes before investing in a full build.

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Frequently Asked Questions

What makes BrainGlow different from a Zapier or Make freelancer?

We connect automation to growth outcomes, not just task movement. The work includes funnel logic, CRM quality, reporting, and conversion impact.

Can you work with our existing tools?

Yes. We commonly work around existing CRMs, forms, calendars, email systems, databases, and internal tools.

Choose a workflow with a clear owner and a recoverable failure path

Bring a process example, the tools involved, and the point where work stalls. Start with one trigger and one expected result. Identify which decisions can follow fixed rules, which need interpretation, and which require a person to approve the next action.

  • Document access requirements and the system that owns each field.
  • Test duplicate inputs, invalid data, and unavailable integrations.
  • Agree on a manual fallback, monitoring owner, and a baseline before expanding.

Review related delivered projects to assess fit. Timeline and outcomes depend on scope, data quality, and third-party access; define acceptance criteria during discovery.

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