Skip to main content
Cyber6

SOLUTION · AI & AUTOMATION

AI strategy.

Staff are already using AI tools you haven't reviewed, and a pilot project stalled months ago with nobody driving it. Cyber6 finds out what's happening now, writes the guardrails, and builds one project that actually saves time.

Cyber6 is an AI & technology partner: we automate the work slowing businesses down, protect them with IT & cybersecurity, and train their people.

Example: four AI tools staff already use, each unreviewed at first. They turn reviewed one by one as a written policy line fills in below them.

WHAT'S REALLY HAPPENING

How AI adoption gets ahead of the plan

It rarely starts with a decision. It starts with one person trying a free tool.

  1. STEP 01

    Someone starts using a free AI tool

    A staff member pastes a document into a chatbot to save time on a summary or a first draft. Nobody asked, and nobody reviewed it.

  2. STEP 02

    More staff pick up their own tools

    Word spreads that AI saves time, so two or three more people start using different tools their own way, with no shared approach.

  3. STEP 03

    Leadership asks someone to "look into it"

    A competitor's AI story gets attention, and someone is told to explore AI, without a budget, a goal, or the authority to decide anything.

  4. STEP 04

    A pilot stalls halfway through

    A promising pilot shows some early results, then loses momentum because nobody has time to finish evaluating it or deciding what happens next.

  5. STEP 05

    Nobody can answer a simple question

    A client or an insurer asks how the business uses AI and what data it touches. Nobody has a clear answer, because nothing was ever written down.

WHY IT HAPPENS

Four causes sit behind most stalled AI efforts.

Select a cause to see the problems it creates in your business.

  • No one owns AI adoption: When exploring AI is a side task with no real owner, projects lose momentum the moment something more urgent comes up. Leads to: Stalled projects, Wasted budget, Missed opportunities.
  • No written policy for AI tools: Without a plain answer on what data can go where, staff either avoid AI entirely or use it in ways nobody has reviewed. Leads to: Data exposure, Inconsistent use, Compliance risk.
  • Projects picked by enthusiasm, not need: A broad, undefined AI initiative is harder to finish than one scoped task with a clear before-and-after result. Leads to: Stalled projects, Wasted budget.
  • Nobody reviews what tools actually touch: Free and low-cost AI tools often keep or train on the data typed into them, and nobody checks before staff start typing. Leads to: Data exposure, Compliance risk, Missed opportunities.

When exploring AI is a side task with no real owner, projects lose momentum the moment something more urgent comes up.

Stalled projectsWasted budgetMissed opportunities

WHO IT HITS HARDEST

Where a missing AI plan hurts the most.

Owners and partners

They know AI could help somewhere but can't name the task, the owner, or the budget for a real project.

Professional services firms

Proposal and document work is a natural first AI project, but client confidentiality makes an unreviewed tool a real risk.

Industry page
SaaS and technology companies

Enterprise buyers now ask how AI touches their data during security review, and a missing policy holds up the deal.

Industry page
Manufacturers

Scheduling and quality data are appealing places to apply AI, but nobody has scoped a project with a measurable result.

Industry page

SIGNS THIS IS HAPPENING TO YOU

Six questions show how exposed your AI use is.

One question at a time. The gauge moves as you answer.

Question 1 of 6

Do you know which AI tools your staff already use?

EXPOSURE

0 gaps so far

This runs in your browser only. Nothing you choose is sent anywhere.

WHAT IT'S COSTING YOU

Ungoverned AI use adds up to real costs.

LINE ITEM

CATEGORY

  1. 01

    Data exposure you can't see

    Client details, contract terms, or employee information can end up inside a third-party AI tool with no record of what was shared or where it went.

    RISK
  2. 02

    Stalled projects and wasted budget

    Pilot projects without a clear owner or goal tend to lose momentum and never get evaluated.

    MONEY
  3. 03

    Paying for tools nobody uses

    Licenses bought on enthusiasm often go unused once the initial interest fades.

    MONEY
  4. 04

    Inconsistent use across the team

    Without a policy, one employee's careful use and another's risky use look the same from the outside, until something goes wrong.

    RISK
  5. 05

    Client questions you can't answer

    Security questionnaires increasingly ask how AI touches customer data. A missing answer can hold up a contract.

    REPUTATION
  6. 06

    Falling behind competitors who move deliberately

    Businesses that treat AI as a scoped project with an owner tend to get further than ones that just tell staff to figure it out.

    MONEY
No dollar figures here on purpose. We measure your real numbers during onboarding.

HOW CYBER6 FIXES IT

One team reviews the risk and builds the project.

IT & Cybersecurity finds the exposure and writes the policy. AI & Automation builds the project. Training makes it stick. Select any piece to see what it does.

IT & CYBERSECURITY

Review of current AI use

We find out which AI tools staff already use, informally or otherwise, and what data has likely gone into them.

WHAT IT MEANS FOR YOUYou get an honest picture of your exposure before deciding what to fix.

AI & AUTOMATION

TRAINING

  • IT & CYBERSECURITY: Review of current AI use. We find out which AI tools staff already use, informally or otherwise, and what data has likely gone into them. You get an honest picture of your exposure before deciding what to fix.
  • IT & CYBERSECURITY: Written AI use policy. A plain-language policy states what data can and can't go into an AI tool, which tools are approved, and who to ask. Staff get a clear answer instead of guessing.
  • IT & CYBERSECURITY: Ongoing tracking. We keep a simple record of which tools are in use, what data they touch, and what's been reviewed. You have an answer ready the next time a client asks.
  • AI & AUTOMATION: One scoped project. Instead of a broad initiative, we help you pick one specific, measurable task and build it properly. You get a result you can point to instead of a pilot that fades out.
  • AI & AUTOMATION: A reviewer built in. Every automation we build has a person checking the output before it reaches a client or a record. You get the time savings without losing control of what goes out.
  • TRAINING: Practical AI training. Staff learn what AI tools are good at, what they get wrong, and how to use them without risking sensitive data. Fewer risky habits, and more staff using AI with judgment.

WHAT'S INCLUDED

Everything we set up, in the order we set it up.

Six pieces, set up in this order once you start.

  • 01

    Assessment

    We review which AI tools are already in use and what data may be exposed.

  • 02

    Written policy

    A plain-language policy on approved tools, data rules, and who to ask.

  • 03

    One scoped project

    We choose and build one specific, measurable automation with a named owner.

  • 04

    Reviewer step

    A person checks output before it reaches a client or becomes part of a record.

  • 05

    Staff training

    Practical sessions on safe, useful AI use for your team.

  • 06

    Ongoing tracking

    A running record of tools in use and what's been reviewed.

BEFORE AND AFTER

AI use across the business, two ways.

A typical Monday without Cyber6 compared with A typical Monday with Cyber6
A typical Monday without Cyber6A typical Monday with Cyber6
Staff use unreviewed AI tools informallyApproved tools with a written policy
No record of what data has gone into AI toolsA documented review of current AI use
Pilot projects stall with no ownerOne project, scoped, owned, and measured
Licenses purchased and left unusedTools tied to a specific task people actually use
No one checks AI output before it goes outA reviewer checks output before it reaches a client
AI use is inconsistent across the teamStaff trained on the same standard
No answer for a client's AI questionA running record ready when someone asks

NO PROTECTION IS PERFECT

How it works day to day

Once the policy and first project are in place, AI use becomes something you manage rather than something that happens to you.

  1. 1

    Review

    New AI tool requests get checked against the policy before staff start using them.

  2. 2

    Use

    Staff use approved tools for the tasks they're meant for, following the plain-language guardrails.

  3. 3

    Check

    A reviewer looks over AI-assisted output before it reaches a client or becomes part of a record.

  4. 4

    Track

    Use and any issues get logged, so you have a running record instead of a guess.

  5. 5

    Adjust

    We revisit the policy and the project's results regularly as tools and needs change.

WHAT WE MEASURE

Three numbers you'll see every month.

We record a starting point during the assessment and report on these regularly.

EVERY MEASURE IS TRACKED THROUGH THE CYBER6 PROVE FRAMEWORK

  1. Plan the goals
  2. Record the baseline
  3. Operate and observe
  4. Verify the results
  5. Evolve
  1. PLAN THE GOALS

    Hours removed

    Time the scoped project takes off a task each week, compared to before.

  2. RECORD THE BASELINE

    Adoption by team

    The share of staff using the approved tool for the task it was built for.

  3. OPERATE AND OBSERVE

    Risks documented and closed

    How many data exposure risks found in the assessment have been fixed.

Tracked with the Cyber6 PROVE framework →

IN YOUR INDUSTRY

What changes in your industry

BEFORE

A consultant pastes client notes into a free chatbot to draft a proposal, with no record of what was shared.

AFTER

An approved tool drafts the proposal, a reviewer checks it, and the policy keeps client details out of the wrong place.

Professional services page

WHY CYBER6

Why Cyber6 for AI strategy

  • 01

    We find the real exposure first

    Before recommending anything, we find out what's already happening, so the plan matches reality, not a guess.

  • 02

    One project, not a vague initiative

    We scope a single, measurable task instead of a broad AI rollout that's hard to finish or evaluate.

  • 03

    A reviewer stays in the loop

    Every automation we build keeps a person checking output before it reaches a client, so speed doesn't cost accuracy.

  • 04

    One partner for the policy and the build

    The same team writes the policy, builds the project, and trains your staff, without another vendor to manage.

FIVE FOUNDATIONS

Where AI fits in your business

Wherever AI goes to work, it's built to our Secure Build Standard: only the access each tool needs, reviewed vendors, and activity that's logged and watched. And because tools are only as safe as the people using them, our Safe AI use training teaches your team what can and can't go into an AI tool.

QUESTIONS

Questions people ask

  • A ban without an alternative usually pushes use underground rather than stopping it. A written policy with approved tools works better than a ban most teams won't follow.

WHO WE'VE WORKED WITH

  • Small businesses
  • A statewide cybersecurity assessment program
  • Credit unions
  • A water and wastewater utility
  • Housing organizations
  • Nonprofits and churches
  • A health and wellness startup

Every result is measured against your own starting point.

How we prove it →

PART OF ONE PARTNER

One partner for all three.

  1. Automate · AI & Automation

    AI & automation that moves your business forward.

    You're here

  2. Protect · IT & Cybersecurity

    IT and cybersecurity, managed around the clock.

    Explore Protect
  3. Empower · Training for Businesses & Individuals

    Training that builds skills for your team and your career.

    Explore Empower

WHY CYBER6

Why businesses choose Cyber6.

  • One partner, not three vendors

    The people automating your work also run and protect your IT and train your team, so nothing falls between companies.

  • Plain language and real people

    You talk to people who explain things clearly, answer the phone, and tell you what they'd do in your place.

  • Measured against your own numbers

    We record where you start before anything changes, then report results against that baseline.

Marquis Carroll

Marquis Carroll, Founder & CEO. Marquis has spent years doing hands-on IT and security work through his own business, and runs a mentorship program that has helped people start careers in tech.

Our story

GETTING STARTED

Four steps from first call to results.

  1. Explore

    A relaxed 30-minute conversation about how your business runs and what's getting in the way. No cost, no pressure.

    You get: honest answers on whether we can help.

  2. Assess

    We look at your systems, security, manual work, and training needs, and record your starting numbers.

    You get: a plain-English picture of your risks and opportunities.

  3. Set up

    A prioritized plan and proposal, then a kickoff that introduces your team and sets up access safely.

    You get: a shared timeline and who to call for what.

  4. Enable

    We roll out in phases, train your team, and walk you through your first results.

    You get: your first plain-English report, measured with PROVE.

Let's find one project worth building.

A 30-minute call. No cost, no pressure, and honest answers.