How much does AI governance cost?

It depends on how many roles I interview, how many tools I inventory and how many revision rounds the owner and counsel need. I quote a fixed price for a written scope after a free look at the team, so the cost is known before the work starts.

How long does AI governance take?

A small team with a few tools finishes faster than a business with many departments. The scope sets the length of each step, including the time counsel needs to review. Any change is written with the reason.

Do I need to be in Las Vegas to work with you?

Most of my clients are in the Valley, and the staff interviews are easier in person. I also write policies for businesses elsewhere in the country through video calls and a shared project page.

Why hire one consultant instead of an agency?

An agency often hands a policy to a template and a compliance vendor you never meet. You work with one person who interviews your staff, writes the policy and runs the sign-off. Legal review stays with your counsel, and the scope says so from the start.

Is this legal advice?

No. The policy is a business rule that tells staff what to do. Whether a practice meets a law or a regulator's standard is a question for your counsel, and I will not describe any policy or page as compliant on its own.

How often should the policy be reviewed?

Once a year is a sensible default, and sooner when a new tool is adopted or a staff role changes. The review date is written into the policy, so the rule does not quietly go out of date.

What if staff already put client data into an AI tool?

Report it to the named approver the same day. The policy's escalation step asks for the tool, the date, the type of data and what the tool keeps. That record lets the owner decide whether to notify a client or counsel, and it becomes the first case the policy is tested against.

Does the policy ban AI tools altogether?

Not in most cases. The policy sorts uses into allowed, restricted and prohibited, so the business keeps the benefit of the tools for low-risk work. A full ban is an option, and the scope says what it would cost in lost work before recommending it.

How do you get staff to follow the policy?

Short sessions by role, written examples taken from each staff member's own tasks and a sign-off that is kept on file. The policy is written in plain sentences, so the answer to a common question takes one glance. Enforcement stays with the owner, who sets the consequences.

What should the policy say about personal devices?

It should state whether staff may use personal accounts for work tasks, and if so, which data may never go into them. Most policies that skip this line leave staff to guess. The scope covers the answer for each role, so the rule is clear before a device is needed.

Do you handle vendor contracts for AI tools?

I review the data terms of the tools in the inventory and write the findings in plain language for the owner and counsel. Signing or negotiating a contract stays with the business and its counsel, and the scope says who does each part.

What happens when a new tool comes out next year?

The policy has an intake step. A staff member asks for the tool to be added, the approver checks its data terms against the approval path, and the decision is recorded with the date. The approved list changes in writing, not by word of mouth.

What should counsel review first?

Counsel should review the restricted data group, the data terms of each tool on the approved list and the escalation wording, since those lines carry the legal exposure. I do not write legal terms. The scope gives counsel a short list of questions for each line.

Can a small team skip the policy?

A team of four has the same exposure as a team of forty, with fewer people to correct. The short version is one page with three groups and a sign-off, which a small team can finish in a single session. Skipping it leaves every AI habit unwritten.

Who keeps the policy up to date?

The named owner does, with the review date written into the policy. When a tool is added or a role changes, the owner records the change and reissues the policy with a new version number, so every acknowledgment points to a version.

How does a staff member raise a question about a tool?

They ask the named approver through the channel the policy lists, usually a short form or a shared inbox. The approver answers in writing and adds any answer that matters to the approved list. Questions and answers are kept with the policy, so the next person finds the same answer.

AI Governance Consulting

A written AI policy staff follow

AI governance consulting produces a written policy that tells staff what they may put into AI tools, what needs approval and what is never allowed. I write it for the way your team works and train the people who must follow it.

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★★★★★ 5-star rated on Google · 14 years · 300+ Las Vegas businesses

AI Governance Consulting: WebVegas homepage on a desktop screen, a Las Vegas site I built with a clear four-step path for each visitor

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AI Policy for Business

What the policy covers

A useful AI policy is short enough to read and specific enough to follow. The engagement produces six parts, each one a page the team can open.

Allowed uses

The tasks staff may do with approved AI tools, written as plain examples from their own work.

Restricted data

The kinds of information that need approval before they go into any tool, such as client records or financial files.

Prohibited inputs

The information that never goes into an AI tool, with the reason for each line.

Approved tool list

The tools the business allows, who may sign up for them and where accounts are held.

Review and escalation

Who a staff member asks when a task is unclear, and how a mistake gets reported.

Training and sign-off

A short session for each role and a signed acknowledgment kept on file.

Why AI Use Goes Unwritten

No written rule for staff

Most staff who use AI at work are trying to be helpful. A manager pastes a client email into an AI assistant to draft a reply, an assistant uploads a spreadsheet to summarize it, and nobody has said whether either one is allowed. The business learns about it only when a question comes up after the fact.

The gap is the missing rule, not bad intent. Staff cannot follow a rule that was never written, and a manager cannot enforce one that nobody has read.

What a Policy Must Say

Allowed, restricted and prohibited

Every line in the policy sits in one of three groups. Allowed means the task is fine with an approved tool. Restricted means the task needs a named approver first. Prohibited means the information never goes in. Staff can find their answer in one glance, and the reason for each line is written beside it.

Policy Template by Category

The three groups, with examples

The table shows how the three groups look in practice. The examples are starting points, and the scope rewrites each one around the work your team actually does.

Group	What it means	Example for a service business	Who approves
Allowed	Fine with an approved tool and no review	Drafting a generic blog outline from public sources	No approval needed
Restricted	Needs a named approver before the input is used	Summarizing a client file for internal notes	Team lead named in the policy
Prohibited	Never enters any AI tool	Client health, payment or identity records	No exception path
Restricted	Public-facing text before it is published	A reply to a public review	Owner or marketing lead
Prohibited	Credentials and passwords of any kind	Pasting a login into a chat window	No exception path

AI Governance Portfolio

Work I built, labeled for what it was

Each card says what the work was. GIOSTAR is a clinic website where each lead is tracked from form to booked consult, and WebVegas is my own Las Vegas brand. The other three are brand and social work, and none of them is a policy engagement.

GIOSTAR services page at giostarwellness.com, a website I built for a Henderson clinic

Website build · Henderson

GIOSTAR: the clinic website, booking and lead tracking

I built and run giostarwellness.com for a regenerative medicine and wellness clinic in Henderson: every service page, online booking, financing and a blog. A website lead is tracked end to end, from the form to a booked consult to an active patient, with no manual steps. I also built its live brand hub, so every page, post and print piece pulls the same colours, type and rules.

See the live site

Portfolio Examples

More of the work

The rest of the range, with what each one was and a link wherever the work is live.

WebVegas homepage at webvegas.io with its four-step booking form

Website build · Las Vegas

WebVegas: a Las Vegas web design brand and its booking funnel

See the live site

Brand mark · Event venue

Desert Inn Oasis: the refined mark and the plan for the new site

Site in build

Brand identity · Pharma

Mili Pharma: the butterfly mark and the lockups

Site in build

Three Quotible social posts built from customer testimonials

Social content system

Quotible: a testimonial-led social series

Content system

AI Usage Resources

Pages for the policy and the tools

The policy sits beside the tools and the training. These pages cover the adjacent work I do, and the usage policy page is the starting point for businesses that want a short example.

Where Staff Use AI Today

The tasks the policy has to cover

A policy is only as good as its coverage of the work people already do. Most AI use in a service business falls into four groups: writing, summarizing, research and analysis, and customer contact. Each group touches information of a different sensitivity, so each one needs its own lines in the policy rather than a single general warning.

Writing covers emails, proposals, social posts and reports. Summarizing covers meeting notes, contracts and files passed in from other teams. Research covers market questions and public sources. Customer contact covers chat replies, review responses and phone scripts. The interview with each role finds which of these the role actually uses, and the policy lists those tasks by name.

Approval Path by Tool Type

Who signs off before a tool is used

Approval depends on what the tool does with the data it receives, not on how well known the brand is. A tool that keeps inputs for training, shares them with other services or stores them outside the business's control needs a closer look than one that processes a single document and deletes it. The table sets out the path the policy will use.

Tool type	What it does with input	Approval path	Review cycle
Built-in writing assistant	Drafts text from prompts the staff member enters	Listed as approved after the owner confirms the account settings	Yearly
Meeting note tool	Records and summarizes calls and meetings	Needs consent from every participant and a named approver	Each quarter
Browser extension	Reads the content of pages the user visits	Blocked by default until the security owner reviews its permissions	Each quarter
Connected automation	Moves data between two business systems	Approved only with a written data map and a named owner	Each quarter
Free public chatbot	Stores prompts under terms the business never reviewed	Restricted to public information and never used for client records	Yearly

How a Policy Engagement Runs

Five steps from inventory to sign-off

The engagement is written in the order the team will live with the policy, and each step ends in a document.

Step 01
Inventory
I list the AI tools already in use, including the ones nobody approved, and who uses each one.
Step 02
Interview
I talk with each role about the tasks they do with AI and the information those tasks touch.
Step 03
Draft
I write the three-group policy with a reason beside every line and send it for review.
Step 04
Review
The owner and counsel review the draft, and I make the changes they ask for in writing.
Step 05
Sign-off
Each staff member reads the policy in a short session and signs an acknowledgment.

AI Governance Reviews

What clients wrote on Google

Every written review on my Google Business Profile, word for word. Several describe AI consulting work, and none of them is edited or paraphrased here. Also rated five stars by Cyndee M., Angela M., Dan H.. Read them on Google

★★★★★
After going back and forth on whether to bring in outside help, we ended up working with Justin for some AI consulting on how to structure our operations. He laid out a clear plan, didn't overcomplicate it, and we've been running smoother since. Good fit for a service business. He knows Las Vegas and he knows this stuff.
Kristen S. · Google
★★★★★
Justin joined our team a few months before opening to replace a marketing agency that wasn’t performing. He stepped up fast. Within weeks he launched a fully redesigned website with new brand guidelines, built and delivered our marketing plan and AI strategy, and helped implement our system architecture so we could open on time. Since then, he’s made several critical enhancements to the site that helped us generate revenue in our first month. His engagement was supposed to end at opening, but he became such an integral part of our leadership team that we kept him on to help evolve our marketing and tech strategy as we grow. He’s easy to work with, pushes back when it matters, and moves easily between strategy, delivery, and operations depending on what’s needed. If you’re looking for a deeply experienced, knowledgeable, and dedicated marketing, AI, or technology consultant, I highly recommend Justin Harris AI Consulting.
Devin R. · Google
★★★★★
Justin has been a true Gem to have as part of our company. His professionalism, immediate attention to branding and extensive details in marketing has made so much improvement on our business. We are forever grateful to have such and amazing marketing asset and cannot thank you enough Justin!
Desi W. · Google
★★★★
Justin Harris was very helpful in resolving some issues we had with our Webflow website.
Kristy F. · Google
★★★★★
I had the pleasure of working alongside Justin and consistently saw firsthand the level of dedication and professionalism he brings to his work. He was always the first one in the office, setting the tone with his strong work ethic and commitment to excellence. What stood out most was how deeply he cared about every client. He approached each project with thoughtfulness, expertise, and a genuine drive to deliver meaningful results. He combines sharp technical knowledge with a practical, solutions-oriented mindset, which makes him especially effective in the AI space. Any organization looking for thoughtful, reliable, and highly skilled AI consulting support would be in great hands working with him!
Jenevine Y. · Google
★★★★★
Hired him to manage our AI systems and it's been pretty smooth. He knew what needed to be done and got it handled without a lot of back and forth. Good experience for our service business.
BC G. · Google
★★★★★
I follow Justin on social media and read about his work and his contributions to the AI industry. He really knows how to use the technology in creating a system that allows you to make your business work more efficiently and effectively.
Ana J. · Google
★★★★★
Justin was the person I would go to for advice about AI automation for my workload. He knew the subject well and didn't overcomplicate it. For anyone in Las Vegas running a service business and wondering if AI systems are worth looking into, talking to him first is a great move!
Yaneliz M. · Google
★★★★★
Working with Justin is always a pleasure. He is professional, trustworthy, and consistently delivers outstanding results. As a longtime Las Vegas local, he has an exceptional knowledge of the territory and truly understands the market. I highly recommend his services to anyone who is serious about growing their business!
k C. · Google
★★★★★
From what I've seen, Justin knows the AI automation space better than most people I've come across in Las Vegas. He's the kind of person who actually understands the technical side and can explain it without making you feel lost. Good guy, good reputation.
Afaryn F. · Google
★★★★★
I've Known Justin for a while now and he really knows his stuff when it comes to AI consulting. If people in Las Vegas were to ask me for recommendations in this space, he's the best guy for the job, hands down.
Mickey S. · Google
★★★★★
After going back and forth on whether to bring in outside help, we reached out to Justin for some AI consulting advice on where our service business could actually use automation. He was straightforward about what made sense and what didn't. Ended up being a useful conversation. Las Vegas has no shortage of people claiming to be experts, and he's one of the few who could back it up.
Vincent M. · Google
★★★★★
Known Justin for a few years now and the guy actually knows his stuff when it comes to AI automation. Friends in the Las Vegas service business space keep asking me who to call and I always point them his way.
Chris M. · Google
★★★★★
Justin is one of those guys who actually knows what he's talking about and doesn't cut any corners. Will definitely be working with him again.
David S. · Google
★★★★★
Justin knows what he's doing highly recommend using his service he will treat you right and give you tremendous value !👍
Gregory J. · Google
★★★★★
Known Justin for a many years and the guy actually knows what he's talking about when it comes to AI and automation. Not the type to just throw buzzwords around. Based in Las Vegas and well connected in the space. …
cindy D. · Google
★★★★★
Known Justin for a few years now. Guy knows the AI space better than most people I've come across, especially here in Las Vegas where there's no shortage of people claiming to be experts. He actually understands how AI automation works at a practical level, not just the theory. The kind of person who gives you a straight answer with kindness and patience
Katelyn H. · Google
★★★★★
Knew Justin before he started building AI systems for businesses, and watching what he's put together is genuinely impressive. He built out an AI automation setup for my website in Las Vegas and it changed how we handle leads completely. The guy actually runs this stuff himself, so he knows what works.
Justin E. · Google

AI Governance Cost Drivers

What the scope prices

I quote a fixed price for a written scope after a free look at the team, so the cost is known before the interviews start. A policy for four people and one for forty are different jobs. These are the things that move the scope.

How many roles and staff are interviewed
How many AI tools are inventoried
How many revision rounds the owner and counsel need
Training sessions and acknowledgments
Review date for the policy each year

What the Owner Signs Off

The decisions that stay with you

The policy is written for the owner to approve, and the owner makes three decisions that no consultant should make alone. The first is which tools the business is willing to pay for and rely on. The second is which kinds of client information are restricted and who approves exceptions. The third is how staff are held to the rule when it is broken.

Those decisions appear in the draft as open choices with a recommendation beside each one, not as settled text. The owner marks each choice in writing, and the signed version records the choice, the date and the person who made it. A policy the owner has not decided is one nobody can enforce, so the scope builds the decisions in from the first draft.

A business owner reviewing work on a phone

Training for Each Role

A short session that matches the job

Training is short and built around the tasks each role does. A sales lead needs the rule on customer lists and outreach. An office manager needs the rule on scheduling and vendor files. A bookkeeper needs the rule on financial records. Each session takes one role through its own examples, and the examples come from the interviews, not from a generic slide deck.

After the session, each person signs an acknowledgment that names the policy version they read. A new hire signs the same acknowledgment in the first week, and a role change triggers a short refresher. The signed records are kept with the policy so the owner can show who was trained and when.

Policy Review Call

A free look at current use

Tell me which AI tools your team already uses and what they use them for. I will tell you in writing what the first policy lines should be and which questions need counsel.

Get Free Audit

AI Governance Las Vegas NV

Every part of the Valley, by ZIP code

I work from Las Vegas and meet owners and managers across the Valley at their office or over a call. A written policy is easier to agree in the room where the staff work. These are the nine areas I serve and every ZIP code in them.

Las Vegas

89030 · 89101 · 89102 · 89104 · 89106 · 89107 · 89108 · 89109 · 89110 · 89117 · 89124 · 89128 · 89129 · 89130 · 89131 · 89134 · 89138 · 89143 · 89144 · 89145 · 89146 · 89149 · 89166

Henderson

89002 · 89005 · 89011 · 89012 · 89014 · 89015 · 89044 · 89052 · 89054 · 89074 · 89120 · 89122 · 89123 · 89183

North Las Vegas

89030 · 89031 · 89032 · 89081 · 89084 · 89085 · 89086 · 89101 · 89115 · 89130

Summerlin

89128 · 89134 · 89135 · 89138 · 89144 · 89145 · 89148 · 89161

Spring Valley

89102 · 89103 · 89113 · 89117 · 89118 · 89146 · 89147 · 89148 · 89178

Paradise

89074 · 89102 · 89103 · 89109 · 89118 · 89119 · 89120 · 89121 · 89123 · 89158 · 89169 · 89183

Enterprise

89113 · 89118 · 89119 · 89123 · 89139 · 89141 · 89148 · 89178 · 89179 · 89183

Sunrise Manor

89104 · 89110 · 89115 · 89121 · 89122 · 89142 · 89156

Boulder City

89005 · 89044

AI Governance Questions

Questions owners ask before they start

Straight answers to what owners ask me before they hire me. If yours is not here, ask it on a call.

Who Writes the Policy

The person who checks the rule

I am Justin Harris. I have built websites and run digital marketing for Las Vegas businesses for fourteen years, and I have worked with more than 300 Las Vegas businesses. I am 5-star rated on Google. I interview the staff, draft the policy and run the sign-off myself.

Proof, not promises

See all of my work

AI Services Las Vegas

The rest of what I build

Every engagement is scoped the same plain way, and one person does all of it.

Draft My AI Policy

The first line I would write

Send me the list of AI tools your team already uses, and I will tell you in writing what the first policy lines should say.