Enablement first. Systems when earned.

AI systems for businesses that value judgment.

We help small and mid-sized teams redesign how work gets done in the AI era: practical training, workflow diagnosis, and systems built only when the work earns it.

Open notebook on a marble desk with a hand-drawn lead workflow, operating notes, a pen, ruler, plant, and coffee.
Start small

Find the fit. Practice with real work. Build only after the workflow earns it.

  1. 01 Fit Find where AI is genuinely useful.
  2. 02 Practice Build capability with real work.
  3. 03 Build Automate only what is repeatable and measurable.

How we decide

A workflow has to earn automation.

We map what happens today, identify the handoffs that create drag, and look for the places where the work already feels robotic. Those are good candidates only when the outcome can be measured and human review still has a clear place.

Workflow fit check / 01

Inquiry follow-up

Decision record

Observed friction

Staff retype inquiry details, route the work by email, and manually chase follow-up.

Inquiry Retype Route Chase
  1. 01
    Repeatable?

    The same intake and routing steps happen each time.

    Pass
  2. 02
    Measurable?

    Response time, rework, and missed follow-up can be tracked.

    Pass
  3. 03
    Where is judgment required?

    A person should approve exceptions before anything is sent.

    Gate
Recommendation Automate drafting and routing. Keep approval human.
Measure Response time + rework

Qualified candidate

Automate the repeatable. Keep judgment visible.

What stays human

We’ll tell you what to leave alone.

The useful part of this work is knowing what not to touch. We do not promise transformation where the work needs judgment, where the risk is unclear, or where the process needs repair before software will help.

What a human-in-the-loop workflow looks like

AI drafts the follow-up, summarizes the intake, and flags the exception. Then it stops. A person approves before anything reaches a customer, client, or team.

Work that needs judgment

Anything where being wrong is expensive, relational, or hard to unwind should keep a human gate.

Sensitive or regulated data

If a task touches data your team is not ready to handle safely, the honest answer is not yet.

A messy handoff a tool will not fix

If the underlying process is broken, AI just makes the mess faster. We fix the handoff first.

Ways to work together

Start with enablement. Build when it earns it.

Start with a short fit call. If there is useful work to do, the paid engagement begins with training or diagnosis, never an open-ended build.

Free first conversation

20-minute AI Fit Call

Bring one recurring task or team concern. We will decide whether the right next step is self-paced training, a paid working session, deeper diagnosis, or leaving the work alone. No written deliverable and no sales deck.

Book the Fit Call
Learn. Build. Review. Every course ends with a practical artifact your work can keep using.

Practical AI Workbench

Training that leaves behind working habits.

The Practical AI Workbench is the enablement side of the shop. Learn independently through direct-purchase self-paced courses, or bring Gig City AI in for a facilitated team engagement built around your work. Both paths focus on repeatable habits, responsible review, and knowing when AI should stop.

Self-paced courses

Learn independently.

Purchase directly and work through practical AI training on your own schedule.

Browse the courses
Team Workbench

Train the team.

A facilitated engagement for shared practice, team use rules, and real workflow examples.

Discuss the team format
Josh Bloodworth, founder of Gig City AI.

Who you work with

Josh Bloodworth

A direct point of contact from diagnosis through implementation.

Fifteen years in teaching shaped how Gig City AI approaches this work: explain the system clearly, practice on real tasks, and keep people capable of judging the result. The shop is Chattanooga-based and built around practical training, workflow diagnosis, and systems a team can inspect instead of simply trusting.

Owner-led Chattanooga-based Teaching background AI strategy + operations

Questions

Plain answers before a first conversation.

Do we need an audit first?

No. Start with the free 20-minute Fit Call. The next step may be self-paced training, a paid Working Session, a Team Workbench, or deeper workflow diagnosis.

What happens during the free AI Fit Call?

We talk through one recurring task or team concern and decide whether there is a useful next step. It is a short fit conversation, not a free audit, written plan, or tool setup.

Do you build automations?

Yes. But the first question is whether the work feels robotic, has a clear review point, and can be measured.

What stays human?

Approvals, exceptions, sensitive decisions, and anything where your customer or team is relying on judgment.

What is the Practical AI Workbench?

It offers direct-purchase self-paced courses for independent learning and facilitated Team Workbench engagements for shared practice on real workflows.

What does an AI Working Session include?

Real examples, better prompts, review habits, risk boundaries, and a practical read on where AI could help next.

Do you only work in Chattanooga?

Gig City AI is Chattanooga-based and built for local and regional teams. Remote work can fit when the workflow is clear.

Start here

Start with a 20-minute AI Fit Call.

Bring one real task, team question, or recurring workflow to a free 20-minute call. We will tell you plainly whether the next step is training, diagnosis, a scoped build, or nothing yet.

Book the AI Fit Call