Private AI

One private AI that knows how your business actually works

Your SOPs, your pricing logic, your client files. The part that took years to build. Private AI puts that knowledge behind a boundary you scope, so it compounds for your team instead of sitting inside a tool you do not own.

Data boundaries, hosting, and revocation behavior are confirmed with your team before anything goes live.

Verizon 2026 DBIR15% to 45%Frequent AI tool usage by employees surged this much in a single year.
ConnectWise 2025 SMB study83%Of small and mid-sized businesses say AI increases their cybersecurity threat level.
Same 2025 SMB study51%Have implemented security policies and practices for AI/genAI.
The exposure

Nobody broke a rule
Your work still left the building

Frequent AI tool usage by employees surged from 15% to 45% in a single year, per Verizon's 2026 DBIR. Almost none of that is people trying to cause harm. They are trying to finish the job faster, and nobody gave them a better option.

Where your work goes
What your team pastes in
Client files
Pricing and quotes
Your SOPs
Contracts and notes
Internal documents
Your company knowledge Outside your control Inside a boundary you scope
Where it can end up After scoping
A tool nobody on your team approvedOpenScoped
A plan tier that learns from what gets typed inOpenScoped
Retention terms nobody on your side has readOpenScoped
A personal account that leaves with the employeeOpenScoped

Illustrative target state. What applies to your tools and your setup gets confirmed during scoping.

Want to see which AI tools your people are already using and what they are feeding them? Book a Private AI discovery

What you decide

You decide what it sees, who uses it, and where it runs

Start with what your people already do. Then set the rules for what the AI may see, who may use it, and who holds the policy. Every decision stays with you.

Six decisions, one scoping session Answered with your team, never assumed
Private AI Scoped to your rules
  1. 01

    Who may use it

    Identity, roles, and permissions are set before anything runs. So is who administers them.

  2. 02

    What it may see

    Which data sources, connectors, and file types are in scope is your decision, not a default someone else set.

  3. 03

    Where it runs

    Model, hosting, integration, and isolation choices are yours to make. They are finalized during technical scoping, not handed to you as a preset.

  4. 04

    What leaves

    Data boundaries and external dependencies are mapped and confirmed for the selected configuration before deployment. You see what the boundary looks like before anything runs.

  5. 05

    What it does

    Document search, summaries, question answering, drafting, and repetitive-task assistance, as examples to validate against your real work.

  6. 06

    How it stops

    Administrative shutdown and revocation behavior is demonstrated during technical validation, so your team knows how to pull the plug before they ever need to.

Illustrative target state. The diagram shows the decisions a scoped architecture needs to resolve.

Why now

Every week, more of your business goes into a tool you do not own

In ConnectWise's State of SMB Cybersecurity 2025 report, 83% of small and mid-sized businesses said AI increases their cybersecurity threat level. Only 51% had put a security policy in place for it.

  1. 01

    You are handing someone else a head start

    Your SOPs, your pricing logic, your service playbook. That is the part of the company that took longest to build. It is also the part getting typed into a box you do not own.

  2. 02

    Your know-how compounds for you, or for them

    Every question your team asks and every file it pastes in is a piece of how your business works. Inside someone else's product, that sits on their side of the line. Inside a boundary you scope, your whole team builds one company brain. It gets more useful every time they use it. That is a moat the shop down the street does not have.

  3. 03

    Your team already started without you

    Nobody waited for a policy. They found a tool, pasted the file in, and got the answer they needed. You cannot unwind that. You can decide where it happens from here.

How we scope it

Nothing gets deployed until your team signs off on it

Step 01

Start with the work

We look at what your people are already doing with AI and what they are trying to get done. The work comes first. The technology follows it.

Step 02

Draw the boundaries

You draw the line around what the AI may see and who may use it. Data boundaries and external dependencies are confirmed for your selected configuration. Nothing gets assumed.

Step 03

Validate before anything runs

We finalize the model, hosting, integration, and isolation choices with your team during technical scoping. Then we demonstrate administrative shutdown and revocation before we call it done.

A scoped discovery with your own team in the room. No assumptions, no product pitch.

The discovery, end to end
Start with the work
What people already do
Draw the boundaries
Who, what, and where
Validate first
Confirmed, then deployed

Your team validates the selected environment against its own legal, regulatory, contractual, and security requirements.

Private AI discovery

Find out what your team is already feeding an AI

We map which tools are in use, what they are being given, and what a private setup would need to answer for. You get the findings in plain language, whether you hire us or not.

A working session with your team, not a product pitch in disguise