- AXIS 3 · IMPACT · AI AUTOMATION
Automate the work
that's eating your margins.
TYPICAL TIMELINE
6-10 weeks
BUILT WITH
OpenAI, Make, n8n
TIME SAVED
40%+ target
INDUSTRIES
Healthcare, Legal, Real Estate
- OVERVIEW
AI is not the strategy. The workflow is.
01
Automation Opportunity Audit
02
Process Documentation & Flow Design
03
AI Workflow Build
04
Integration & Testing
05
Team Training & Handoff
06
Monitoring & Iteration
PROCESS
Five phases.
No black boxes.
Find the work worth automating first.
01
02
03
04
Map every workflow before automating a single step.
01
02
03
04
Build for production, not for demos.
01
02
03
04
Break it in testing so it doesn't break in production.
01
02
03
04
Launch, train, and stay close for 30 days.
01
02
03
04
- TOOLS & STACK
What we build with.
DESIGN
CMS
PAGE BUILDER
ANALYTICS
COMMERCE
Shopify
HOSTING
PERFORMANCE
SELECTED WORK
Proof, not
promises.
- Identity + Impact
42+
Pages designed and built
6 weeks
From kickoff to launch
36
Targeted SEO landing pages
- Impact + Insight
85 → 94
Site Health Score (+9 points)
15 → 0
Critical errors cleared (100%)
1,124
Warnings fixed (62.8%)
FAQs
Questions
worth asking early .
What kinds of tasks can actually be automated with AI?
The highest-value targets usually have predictable inputs and repeatable outputs: document drafting, intake form processing, appointment follow-ups, email triage, lead routing, data entry across systems, and client status updates.
During the audit phase, we identify exactly which workflows qualify, where AI should not be used, and what the realistic time and cost savings could look like.
Do we need a developer on staff to maintain the automations?
Not always. Many automations can be built so your team can manage day-to-day use without a developer. For more complex workflows, custom APIs, or sensitive data flows, technical support may be needed over time.
We document the system clearly and tell you what level of maintenance to expect before launch.
How do you ensure AI output quality in regulated industries?
We design for review, not blind trust. That means structured prompts, approved source material, clear output formats, human approval points, and guardrails around what AI can and cannot do.
For regulated industries like healthcare or law, we also define where a compliance review is needed before an automation goes live.
What happens if the automation makes a mistake?
We plan for that before launch. Higher-risk workflows should include human review, error handling, fallback steps, logs, and clear escalation paths.
AI should not be making sensitive final decisions on its own. We design automations to support the team, not remove accountability.
Can you automate workflows that involve patient or client data?
Sometimes, but the data sensitivity determines the approach. We review what information is involved, where it will be processed, which tools are approved, and whether compliance requirements apply.
For healthcare, legal, or confidential workflows, we avoid casual AI tool usage and design around privacy, access control, and review.
Is this a one-time build or an ongoing engagement?
It can be either. Some clients need a defined one-time automation build. Others need ongoing support as workflows change, tools update, or new AI use cases emerge.
We usually recommend starting with one high-value workflow, proving it works, then expanding from there.
- RELATED
Often paired with -
AXIS 3 · IMPACT
AXIS 3 · IMPACT
AXIS 2 · INSIGHT
- NEXT STEP