Q3 · 2026 · 2 engagement slots open 18-month avg retention · 96% client satisfaction · Atlanta · Asheville · Remote Last ship · 4d ago  
§04AI Automation

Buy back the hours your team is burning.

Flag semaphore — A

Workflows that handle the busywork — lead routing, content drafting, reporting, support triage — so your people can do the work that actually moves numbers. Working systems, not strategy decks.

Get a quote → What ships
01
27 hrs
median weekly hours returned to clients
02
lead response speed improvement
03
14 days
typical first-workflow ship time
04
100%
human-in-the-loop on customer-facing steps
§AWhat ships

The deliverables, named up front.

01
Inbound lead enrichment & routing
02
Drafting & personalization at scale
03
Reporting agents that pull from your stack
04
Support triage with human-in-the-loop
§BScope, expanded

What each pillar
actually covers.

  1. —01

    Map

    We audit your team’s week. Anything repetitive, rule-based, or template-able is a candidate. Most teams have 30+ hours hiding in plain sight.

  2. —02

    Ship

    Start with one workflow, in production, in 14 days. No “AI strategy” slideware — working code, your data, your stack, a measurable result.

  3. —03

    Govern

    Human-in-the-loop on anything customer-facing. Audit trails, kill switches, and PII boundaries — the boring parts done right.

  4. —04

    Scale

    Once one workflow is humming, we add the next. Each one has to pay for itself before we move on to the one after it.

§CThe numbers
kpi · 01
27 hrs
median weekly hours handed back to client teams
kpi · 02
faster average response to inbound leads
kpi · 03
14 days
from kickoff to a first workflow live in production
§DTools we operate

What runs under the hood.

Claude· OpenAI· Zapier· n8n· Make· Airtable· Notion· Slack
§EEngagement runtime

How an AI automation
engagement runs.

  1. 01
    Map the hours
    Week 0–1

    We shadow your team’s week and rank tasks by hours burned and ease of automation. You get a prioritized list, not a vague promise.

    → next
  2. 02
    Ship workflow #1
    Week 1–2

    The highest-ROI workflow goes to production in 14 days — your data, your stack, with a human checkpoint wherever it touches a customer.

    → next
  3. 03
    Govern & harden
    Week 2–4

    Audit trails, kill switches, PII boundaries, and monitoring. We make it boringly reliable before we trust it with volume.

    → next
  4. 04
    Scale the stack
    Month 2 →

    Add the next workflow, then the next — each one paying for itself first. Monthly review of hours saved and what’s worth building next.

    ongoing
§FAI Automation FAQs

Specifically about
AI automation.

What does a typical first workflow look like?

Lead enrichment and routing is the most common starter: inbound form → enrich → score → route to the right rep in Slack, with a templated first response drafted and waiting for approval. About 10 days, start to finish.

Where does our data go?

Wherever you say it goes. We can run everything on your tenant, your keys, and your storage. No black boxes, no shadow databases, no “trust us.” You own it and can audit it.

Will this replace our people?

No — it removes the busywork so your people do higher-value work. Anything customer-facing keeps a human in the loop. We’re buying back hours, not cutting headcount.

§GDisqualifier

Not the right fit if…

  1. —01 You want “AI” as a marketing line, not a working system.
  2. —02 Your team has no documented processes to automate.
  3. —03 You can’t approve a workflow in under a week.
§HPairs well with
Ready when you are

Automate the grind.
Keep the judgment.

Tell us where your team is drowning in busywork. We respond inside 24 hours with a candid read on what’s worth automating first — and what isn’t.