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COMPATRIAS

Our mission

Put real AI in the hands of the businesses that keep Hampton Roads running.

The large companies have had this for years. They have the budget for consultants, the staff to run it, and the patience for a two-year programme. The businesses we work with have none of that, and a great deal more to gain.

Compatrias means compatriots, people standing on the same side, and that is the working relationship we are built for. Not a vendor who delivers and disappears, and not a dependency you cannot get out of. We work beside your team, in your building, until the thing actually runs. Then you decide whether we stay.

Hampton Roads, Virginia

AI, Agents, Apps, and Automations. In sync.

Compatrias partners with small businesses across southeastern Virginia to run all four as one connected system. Usually that means doing more with fewer subscriptions, not more.

Buy them piecemeal and they will disagree with each other. The assistant quotes one price, the dashboard shows another, and somebody on your staff loses an afternoon working out which one is right. We build all four on a single set of data and rules, so there is only ever one answer.

AI

Judgment. Drafting, summarizing, and answering from your records, not the open internet.

Agents

Software workers that finish multi step jobs without being watched.

Apps

Internal tools shaped around how your team already works.

Automations

The plumbing that moves work between the systems you already pay for.

Built for small businesses, not enterprise IT budgets.

Most AI consulting is built for companies with a dedicated IT department, and most of it is sold from three time zones away. Compatrias is built for the Hampton Roads business that has neither: practical audits, real in-person training, and systems sized to how you actually operate. We show up, do the work alongside your team, and stay reachable after.

Two business professionals in conversation in a small business workspace.

Why now

The case stopped being theoretical.

$3.50
returned for every $1 invested in AIIBM
66%
of organizations report productivity and efficiency gains from AIDeloitte, State of AI in the Enterprise
61%
of CEOs say competitive advantage will depend on who has the most advanced AIIBM
30%+
of generative AI projects are abandoned after proof of concept, most often over poor data quality and weak risk controlsGartner

The last figure is the one we pay attention to. Projects rarely fail on the technology. They fail on data nobody mapped and controls nobody agreed, which is why we start with an audit instead of a build.

Three ways in, one connected system.

Almost everyone should start with the audit, and not because it is billable. A build that begins before anyone has mapped the data or agreed the controls is the single most common way this goes wrong. The audit is cheap next to the build it saves you from.

A consultant and a business owner reviewing workflows together on a laptop.
01

AI Audit

We come to you, map your current workflows, tools, and data, then show you exactly where AI, agents, apps, and automation will save real time and money, and where they will not.

  • Workflow and tooling review
  • Automation opportunity map
  • Plain-language findings report
An instructor demonstrating software to a small team seated around a table.
02

AI Training

We teach your team to use AI directly, in your building, on your own workflows, not a generic course. Your people leave able to use it the next morning.

  • On-site sessions for your whole team
  • Built around your actual tools
  • Reference materials your team keeps
Two colleagues building and configuring systems together at a workstation.
03

AI & Automation Amplification

We build the agents, apps, and automations your audit surfaced and wire them into one another. Once it is running, you decide who keeps it running: your own team, or us.

  • Hands-on implementation
  • Yours to run, or ours to run
  • Automations tuned to your workflows

In practice

Ask it. Run it. See it.

One request, followed all the way through: the question, the work it sets off, and the record it leaves behind.

21:14AI + Agents

A supplier sends a revised quote after hours.

Someone asks in plain language and gets an answer grounded in your own orders, documents, and history rather than the open internet. When the answer implies an action, the agent prepares it and holds it for a person to approve.

  • Answers drawn from your records
  • Drafts wait for approval
  • Every action leaves a trail
An AI assistant chat interface drafting a reply and flagging it for approval.

Fewer subscriptions, not more.

Most small businesses are carrying a software stack that grew one tool at a time, each solving one problem, none of them talking to the others. You are paying per seat, per month, for overlap.

Where a single agent or a small internal app can absorb the work of two or three point tools, we build that and you cancel the rest. It is the one AI project that shows up on your expenses as a reduction rather than an addition.

  • 01We inventory every subscription you pay for, line by line
  • 02Overlapping point tools collapse into one workflow
  • 03Whatever earns its keep stays exactly where it is
  • 04You cancel the rest, and we document what replaced them

Your data is the moat.

Your competitor down the road can rent exactly the same model you can, on the same day, for the same price. What they cannot rent is twenty years of your quotes, your service history, your suppliers, and the particular way your customers describe their problems.

An AI and data strategy is the plan for turning that into something a system can use, and for making sure it stays yours. Without one, you are renting the same generic capability as everyone else and calling it an advantage.

01

Map it

Where your data actually lives, what condition it is in, who owns it, and which parts are safe to put in front of a model.

02

Make it usable

Cleaning, structuring, and connecting it, so a system can work from your records instead of guessing from general knowledge.

03

Compound it

Every correction your team makes feeds back in. The system sharpens the longer you run it, and that gap cannot be bought by a competitor.

Built to standards, not to vibes.

Three frameworks shape how we work. They sit at different levels on purpose: one names the technical risks, one orders them, and one governs the organization running them.

Technical controls

OWASP Top 10 for LLM Applications

The named risk list for production language-model systems, from prompt injection to unbounded consumption. It is what we build and review against at the code level, not a document we file away.

Risk governance

NIST AI Risk Management Framework

Its four functions, Govern, Map, Measure, and Manage, order those risks across the whole life of a system rather than treating safety as a launch-day checkbox. We apply the Generative AI Profile where it fits.

Management system

ISO/IEC 42001

The international standard for running AI responsibly as an organization: how decisions get made, recorded, and reviewed. We already run engagements to its requirements, so the evidence trail on your side exists from the first day rather than being reconstructed later.

Certification in progress, not yet awarded

We build to these frameworks today. Our ISO/IEC 42001 certification is underway and has not been awarded yet, and we will keep saying so here until it has been. If a standard matters to your industry, ask us where we actually stand on it.

Own it yourself, or let us run it.

Every engagement ends with a choice, and it is genuinely yours to make. Some clients want the keys. Others would rather keep us on the team.

Take it in house

When the build is done, it is yours. We hand over every system, workflow, and login, document how each piece works, and train your team to run and change it without us. No lock in, no dependency by design.

  • Full handover of systems and accounts
  • Written documentation your team owns
  • Training until they can run it alone

Keep us on monthly

Prefer not to run it yourself? We stay on as your AI and automation team for a flat monthly fee. We monitor what is running, fix what breaks, and keep building as your business changes.

  • Monitoring and upkeep of what we built
  • New automations as needs come up
  • A direct line when something breaks

Straight answers

The questions you are actually asking.

Will this even work for a business like mine?
Most owners we sit down with assume AI does not apply to what they do. The audit exists to answer that honestly, and part of what you are paying for is being told where it will not help.
Where does our data actually go?
You get a plain-language map of which systems touch what, before anything is built. If a workflow would send your customer records somewhere you are not comfortable with, we design it a different way.
Is this a way to cut my staff?
No. The work we take away is the retyping, the chasing, and the copying between systems. Your team keeps the judgment calls, and we train them in person to run what we build.
How do we know it will not stall out like everyone else's pilot?
Because we do not stop at a pilot. An engagement ends with something running in production and at least one person on your team who could operate and change it without us. Whether you then keep us on is a separate decision, and yours.
What does it cost?
You get a fixed scope and a fixed price in writing before any work starts. No hourly meter, and no discovering the number at the end.
We already have systems we like. Do we have to replace them?
No, and we do not pull things out as a reflex. The one exception is genuine overlap: where three subscriptions are doing one job, we will show you that and what it would take to collapse them. Cancelling anything is your call.

Built for Hampton Roads businesses, by people who can drive to you.

The audit happens in your building. The training happens in your conference room. Being local is the point: we know the traffic on the tunnels, and we can be on site the week you need us.

  • Norfolk
  • Virginia Beach
  • Chesapeake
  • Portsmouth
  • Suffolk
  • Hampton
  • Newport News
  • Williamsburg
  • Yorktown
  • Poquoson
  • Smithfield
  • Isle of Wight

And the rest of southeastern Virginia.

Start with an AI audit.

Tell us about your business. We will follow up to schedule your AI audit, on site anywhere in Hampton Roads.

CONTACT BY EMAIL

Send us your details by email.

We take audit requests by email. Add what fits below and we'll open a message to tech_admin@compatrias.com with your details filled in — you send it from your own mail app. On site anywhere in Hampton Roads.

Email us your details

Opens your email app with your details ready to send. If nothing opens, use the address below.

Or email us directly: tech_admin@compatrias.com