AI discovery · setup · prompt engineering · results

Do more without hiring more.

We find the repetitive work eating your team's week and hand it to AI, so your people focus on what earns money.

Kevin Whitney runs his own businesses on about 25 AI bots that handle work that would otherwise need more hires. See how that operation works →

  • Independent since 1997
  • Lawrenceville, GA · Gwinnett & Metro Atlanta · remote anywhere
What this looks like

Do more without hiring more

Most teams lose hours every week to the same small, repetitive jobs: sorting, copying, chasing and reformatting. None of it is why you hired your people, and much of it is work AI does well when it is set up carefully. We find those jobs, hand them to AI with sensible guardrails, and give your people their time back for the work that earns money.

Inbox triage

Before
Someone reads every email to work out who needs what, and urgent requests wait behind newsletters.
After
AI sorts and summarizes incoming mail and drafts routine replies. A person approves anything that goes out.

Lead follow-up

Before
New inquiries sit until someone has a free minute, and some never get a second touch.
After
AI sends a quick, on-brand first reply and reminds your team when a lead needs a personal call.

Report generation

Before
Every week someone copies numbers from three tools into a spreadsheet and formats it by hand.
After
AI pulls the data on a schedule, builds the summary and flags anything that looks off for a person to check.

First-draft writing

Before
Proposals, posts and listings start from a blank page, so they get put off.
After
AI produces a solid first draft in your voice from your notes. Your people edit and decide.

HR busywork

Before
Policy questions, onboarding, job posts and interview scheduling pile up on a small team.
After
AI drafts FAQs, checklists and job posts, books interviews and summarizes applicants against your criteria, so a small team covers HR without growing it. People make every hiring, firing and discipline decision.

Summarizing complex situations

Before
Owners wade through long threads, contracts, reports and notes to see what is going on.
After
AI writes a one-page brief: key facts, open questions, options, so you decide faster. People review anything high-stakes; it is not legal advice.
  1. DiscoveryWe map where your team's week goes, pick the jobs worth handing to AI, and measure a baseline with you.AI Discovery →
  2. SetupWe build it in your own accounts, with review steps and an off switch.AI Setup →
  3. Results & MetricsEach month we report against that baseline in plain English, including what didn't work.Results & Metrics →
We do this ourselves

About 25 AI bots run our own daily work

Kevin Whitney runs his own businesses on about 25 AI bots. They research, draft, build and check websites, sort email, prepare reports and keep records. That's work that would otherwise need more hires. They follow the same rules we set up for clients: ask before acting, back up first, and let a person approve anything risky.

Read the case study →

Book a discovery call

Tell us what is eating your team's week. The first 30-minute call is free, and if AI isn't the right answer, we will say so.

Call 404-333-8432Or use the contact form

From discovery to measured results

Most clients start with one workflow, prove it works against a measured baseline, then expand. You can stop after any step, and we'll tell you if the next one isn't worth it.

Step 1

AI Discovery

Audit and roadmap

A paid, fixed-scope look at how work actually gets done, where AI could help, where it shouldn't, and a written roadmap with costs and risks.

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Step 2

AI Setup

Agents, automations, integrations

We build the agreed agents, automations and integrations in your own accounts, with review steps and an off switch.

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Step 3

Prompt Engineering

Prompts that hold up in real use

Prompts written, tested and documented for your real tasks, so results are repeatable and staff aren't guessing.

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Step 4

Results & Metrics

Retained optimization, monthly KPI report

Monthly tuning plus a plain-English KPI report on the measures we agree up front, including what didn't work.

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Build

AI-Assisted App Development

AI code review plus human review

Business apps and integrations built with AI help, where every change gets an AI code review, a human review, automated tests and security checks.

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Savings

IT Contract Review

Catch costly terms before renewal

A technical and financial read of your technology contracts, so costly terms are caught before renewal and you negotiate with leverage.

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Capacity

AI Workforce Efficiency

Do more without hiring more

AI takes over repetitive admin, HR paperwork, intake and reporting, so your team can handle growth without adding headcount. People make every HR decision.

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Proof, not promises

We use this every day, not just in slides

Kevin Whitney, who has led Green Orb since 1997, runs his own businesses with a working team of about 25 AI agents. They research, draft, build and test websites, triage email, prepare reports and keep records, and they ask a human before anything goes out the door, costs money or changes a live system.

That operation is where our methods come from: approval gates, review-only modes, backups before changes, and checking the result instead of trusting the tool.

Read the case study

A recent example

We recently delivered a review-only ChatGPT redundancy prompt to a client: a carefully scoped prompt that has ChatGPT act as a second check on work, flag problems and explain why, without taking actions or sending anything on its own.

The client stays confidential. We describe the approach, not their business.

See how that kind of prompt is built →

Why an independent firm

  • No quota to fill. We aren't paid by AI vendors, so we can recommend the cheaper tool, the tool you already own, or no AI at all.
  • Measured, not hyped. We agree on what success looks like before we build, and report on it monthly in plain English.
  • Your accounts, your data. We build in accounts you own, document everything, and leave you able to switch providers.
  • Humans stay in charge. Anything customer-facing, financial or irreversible gets a human approval step by default.

Good first projects

  • Inbox and request triage with draft replies a person approves
  • Turning recurring reports into a scheduled, checked summary
  • Research and first drafts for proposals, posts or listings
  • A second-check prompt that reviews work before it ships
  • Connecting the tools you already pay for so data stops being retyped

Examples of common starting points, not promises for your situation. Discovery tells us what fits.

See 10 AI use cases for small business →

Plain-English answers

What is a discovery call?

A free 30-minute conversation by phone or video, or in person if you are in Gwinnett or Metro Atlanta. You tell us what is eating your team's week, and we tell you honestly whether AI looks like a fit and what a paid Discovery would cover. No pitch and no obligation.

How long does setup take?

It depends on the workflow and the tools involved. A single, well-defined workflow is the quickest place to start; anything that touches several systems takes longer. You get a written timeline with the quote, and we won't promise dates we can't keep.

What happens to our data?

We build in accounts you own and ask for the least access each step needs. We don't copy your customers' personal data to our own servers, we never need passwords sent by email, and we tell you which AI vendor sees which data before anything is switched on.

What if AI isn't a good fit for us?

We'll say so. Sometimes a checklist, a simpler tool or a small process change is the better answer, and we'd rather tell you that than sell you a project.

Who owns what you build?

You do. Every account, API key, prompt, automation and document lives in your accounts and stays with you, whether or not you keep working with us.

How much does it cost?

AI Discovery starts at $750, a fixed price agreed in writing before we start. Your Discovery fee is credited toward the build if you go ahead within 30 days. Sign a 12-month engagement and your Discovery fee is credited back in full. Why a paid audit instead of a free one? You get a written plan, a baseline measured with you, and the fee back as credit toward the build. Setup, Prompt Engineering and the monthly Results & Metrics work are priced in writing after the free 30-minute call, once we know the workflow, always as a fixed price before work begins.

What we won't do

  • Long contracts or lock-in. Projects are fixed-scope, and the monthly retainer can be cancelled any time.
  • Reselling software for commissions. We aren't paid by AI vendors, so the recommendation is about fit, not margin.
  • Letting AI send things in your name unreviewed. Anything customer-facing gets a person's approval by default.
  • Guaranteed results or ROI. We estimate, measure against your baseline, and report honestly, including when something isn't working.
  • Storing your customers' personal data on our servers. The work runs in your accounts.

Not sure where AI fits yet?

Start with a free 30-minute call. If AI isn't the right answer for the problem, we'll say so.

Book a discovery call