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CHATGPT DEPLOYMENT · TEXAS

Your team has ChatGPT. Give it a real job.

We find the recurring work where ChatGPT actually saves time, then roll it out with your team so it sticks. Workflow first, then the tool.

  • Pick the two or three workflows worth changing, not fifty scattered experiments
  • Shared instructions, templates, and training your team uses the same way
  • A before-and-after baseline so you can see what changed

Veteran-ownedSan Antonio, TexasVetHUB certifiedMember of the OpenAI Partner Network

Request a ChatGPT rollout consultation

Tell us a little about your team. We'll set up a short call to find your best starting workflow.

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See how to find your first workflow

Watch Elliott walk through the workflow-first approach, then use the free guide to map the recurring work on your own team.

Read the free workflow guide

Watch on YouTube

Why most ChatGPT rollouts stall

The tool usually isn't the problem. The order is. Starting with the tool asks every employee to invent use cases on top of their real job.

Licenses first, plan later

Seats get bought, a "we have AI now" message goes out, and nobody owns what happens next.

Everyone invents their own use

Each person experiments on top of their real job. A few stick with it. Most try it twice and go back.

No baseline, no proof

Without a before-and-after on real work, it's hard to tell whether ChatGPT is saving time or just adding a tab.

What a workflow-first rollout is built to deliver

When ChatGPT has a specific job, an owner, and a way to prove it worked, it stops being a novelty.

01

More capacity

The same team handles more proposals, reports, and requests without adding headcount.

02

Time back for owners

Fewer late nights rewriting drafts and answering the same questions. ChatGPT does the first pass and you approve it.

03

Consistent quality

Shared instructions, templates, and review checklists mean the work looks the same no matter who's out sick.

The six-step workflow-first method

The same method we teach in How to Identify the Right Workflow Before You Buy AI. We run it with your team, then help you roll out what it finds.

  1. Friction inventory

    Collect the recurring work your team dreads, redoes, or waits on.

  2. Frame the real problem

    Turn "reporting is a nightmare" into a specific trigger, pain, and cost.

  3. Repeatability test

    Score each candidate on frequency, consistency, ownership, and clear pattern.

  4. Workflow map

    Eight plain-language questions on who does the work, with what, and why it matters.

  5. Match to AI patterns

    Find the steps ChatGPT handles well: summarize, draft, extract, review, and more.

  6. Value and readiness

    Record a baseline, check readiness, then roll out and measure against it.

From “use AI more” to a workflow your team can adopt

The output of the method is a plain-English instruction with a trigger, a job for ChatGPT, and a human checkpoint. That is something a team can actually follow and measure.

ILLUSTRATIVE EXAMPLE

The proposal workflow

Before: An account manager spends hours building each proposal from scratch, quality varies by who writes it, and leads wait days.

“When a new lead completes the intake form, ChatGPT drafts the proposal from our template, current pricing, and the client's notes. The account manager reviews and edits it. The owner approves anything over $10,000.”

ChatGPT Expert badge earned by Elliott Lamboy

The credentials behind the method

Texas AI Consulting is a member of the OpenAI Partner Network. Founder Elliott Lamboy, RN, a retired U.S. Air Force Reservist, holds these OpenAI and ChatGPT credentials:

  • ChatGPT ExpertAll levels achieved · no expiration
  • ChatGPT Deployment PractitionerOct 2026 · valid through Oct 2027
  • ChatGPT Solutions PractitionerOct 2026 · valid through Oct 2027
  • OpenAI Consultative Solutions PractitionerOct 2026 · valid through Oct 2027
  • OpenAI Technical PractitionerOct 2026 · valid through Oct 2027
  • OpenAI Foundational KnowledgeOct 2026 · valid through Oct 2027
Teams of 25 or more: we can request a live, trainer-led OpenAI certification session for your team through the OpenAI Partner Network. Sessions are subject to OpenAI's approval and availability.

View certificates and full background →

Questions owners ask

Licenses are the easy part. Most rollouts stall because nobody decided which work ChatGPT should take on, so each person invents their own use cases and most stop after a few tries. We start from your recurring work, pick the workflows worth changing, and set up the instructions, templates, and training your team needs to use it the same way every time.

Start with one workflow

Tell us where your team's time goes. We'll help you find the first piece of work worth handing to ChatGPT.