Automate the work
that's eating your margins.

AI automation is about freeing them from the repetitive tasks that slow everyone down. We identify, build, and deploy automations that compound.

TYPICAL TIMELINE

6-10 weeks
from audit to deployment

BUILT WITH

OpenAI, Make, n8n
production-grade stacks

TIME SAVED

40%+ target
on target automated workflows

INDUSTRIES

Healthcare, Legal, Real Estate
compliance-first builds
AI Automation

AI is not the strategy. The workflow is.

AI only creates value when it is connected to a real process. A chatbot with no purpose, a prompt library no one uses, or an automation no one trusts will not change how the business runs.
We don’t automate for automation’s sake. We start with a process audit that identifies which workflows have the highest volume, the lowest variance, and the greatest cost when done manually.
Then we build, test, and deploy AI-powered automations that integrate with your existing stack. Building a structural advantage your competitors can’t replicate.

01

Automation Opportunity Audit
A structured review of your workflows to identify the highest-value automation targets by time saved, error reduction, and cost.

02

Process Documentation & Flow Design
Every target workflow mapped, documented, and designed before any automation is built. No surprises.

03

AI Workflow Build
Custom automation built on your stack: OpenAI, Make, n8n, or Zapier. Designed for reliability, not demos.

04

Integration & Testing
Your automation connected to your existing tools and stress-tested across real-world edge cases before we ship.

05

Team Training & Handoff
A training session with the people who’ll use and manage the automation, plus documentation that doesn’t require a developer to read.

06

Monitoring & Iteration
30-day post-launch monitoring to catch edge cases in production and tune performance.

PROCESS

Five phases.
No black boxes.

Intro Copy AI automation works when the team understands what the system does, when to trust it, and where human review still matters.

Find the work worth automating first.

Two-week workflow audit. We interview your team, observe your processes, and return with a ranked automation opportunity list, ordered by ROI.

01

Workflow interviews across key team members

02

Process documentation & time-on-task analysis

03

Automation feasibility assessment per workflow

04

Prioritized roadmap with estimated time and cost savings

Map every workflow before automating a single step.

Process documentation, flow design, and stakeholder sign-off before we write a line of code. Automation built on poorly understood processes compounds the problem.

01

Detailed process documentation for each target workflow

02

Automation flow design, inputs, logic, outputs, and exceptions

03

Human review checkpoints defined for regulated steps

04

Design review and sign-off before build begins

Build for production, not for demos.

Automation developed on the stack best suited to the workflow, with error handling, logging, and compliance-appropriate guardrails built in from the start.

01

Automation development, OpenAI/Claude API, Make, n8n, or Zapier

02

Integration with existing tools, CRM, EHR, scheduling, email

03

Error handling, retry logic, and alert configuration

04

Compliance and data handling review at build completion

Break it in testing so it doesn't break in production.

Every automation tested against real-world inputs, edge cases, and failure conditions. Nothing ships without documented test results.

01

Unit and integration testing with real or production-equivalent data

02

Edge case and exception handling verification

03

Human review workflow verification for regulated steps

04

Performance testing under expected volume

Launch, train, and stay close for 30 days.

Deployment with monitoring, a training session for the people using the automation daily, and 30 days of active oversight, so edge cases that surface in production are caught and fixed fast.

01

Production deployment with staged rollout

02

Team training session, how it works, how to monitor it, how to flag issues

03

30-day post-deployment monitoring and issue resolution

04

Documentation and ongoing maintenance guide

What we build with.

We match the platform to the project, not the other way around. The goal is a website your team can use, your audience can trust, and your business can grow with.

DESIGN

Figma

CMS

WordPress

PAGE BUILDER

Elementor

ANALYTICS

Google Analytics

COMMERCE

Shopify

HOSTING

Siteground

PERFORMANCE

Lighthouse

SELECTED WORK

Proof, not
promises.

The best AI systems make teams faster without removing the judgment that makes the work good.
hormone-clinic-rebuilt-to-be-found-by-patients-and-AI-alike
Legal
A certified trial attorney, given a website worthy of the credential.
James M. Porfido is one of fewer than 50 attorneys in New Jersey with Supreme Court certification as a Criminal Trial Attorney, but his old site was unbranded, thin, and buried inside another firm’s domain. In just over six weeks, we shipped a 42-page, SEO-first, AI-optimized site built to own his name and his market.

42+

Pages designed and built

6 weeks

From kickoff to launch

36

Targeted SEO landing pages

A-certified-trial-attorney
Healthcare
A hormone clinic, rebuilt to be found by patients and AI alike.
Advanced Hormone Solutions had run the same site since 2015, but search engines couldn’t fully read it, AI engines rarely cited it, and its Google Business Profile barely described what the clinic actually does. In four weeks, we cleared every critical error, rebuilt the technical foundation, and turned a thin local listing into a 13-service, 20-city presence built for how patients search now.

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.

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.

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.

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.

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.

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.

Often paired with -

AI automation becomes more useful when the systems, data, and team workflows are already connected.

Bring us the process.
We’ll find the leverage.