Q TOWER
AI governance made simple
The AI governance hub for your fast-paced organization - policy, approvals, and training, deployed inside your own environment.
Self-hosted. Deployed inside your own environment.
THE PROBLEM
Every org "should" have an AI policy. Almost none do.
Most companies want to govern AI use but don't know where to start - and don't have a compliance department to build it from scratch. So AI adoption runs ahead of oversight, quietly, until it becomes a real problem.
01
Employees are already using AI tools nobody approved, because there's no clear process for asking.
02
"We should write an AI policy" has been on the to-do list for months - nobody owns it, so it never gets written.
03
Even if a policy existed, there's no way to enforce it, track who's trained, or catch an incident before it spreads.
WHAT IT DOES
A working AI governance program, out of the box.
Policy, tool approvals, incident tracking, and employee training - all in one place, self-hosted in your own environment.
01 · DECIDE FIRST
Guided AI Policy Builder
Answer a short questionnaire and generate a complete, ready-to-review AI usage policy as a real document - not a template you have to write yourself.
Approval Workflow
Employees request approval for AI tools, projects, vendors and agents; an AI-assisted precheck calls the AI tool your organization already uses to evaluate the request against your policy and flags risk - a human always makes the final call.
02 · HABIT, NOT PAPERWORK
Built-in Employee Training
Live training session available now, with self-paced video modules on the way. Completion is tracked org-wide today.
Anonymous Incident Reporting
A safe, anonymous way for anyone to flag an AI-related concern, routed straight to the right people with a resolution trail.
03 · KNOW WHAT'S RUNNING
AI Inventory
A live register of the AI tools, projects, vendors and agents in use, with approval status and risk mix visible on the dashboard.
Approved Tools Catalog
A living, browsable list of what's cleared to use, with data-sensitivity guidance built in.
AI Code Scan
Scans AI-written code in your repos for 30 common vulnerability classes, tracked over time by severity: critical, high, medium, and low.
Escalation & Activity Dashboard
Open escalations, resolution trends, and policy version history in one view, so you always know what's changed and what needs a decision.
Also available: custom branding for your organization.
GETTING STARTED
Designed to deploy in a day or two.
1
Deploy
Run the Q Tower Docker bundle in your own cloud or on-prem environment. No new servers, no vendor managing your data.
2
Integrate with SSO
Connect your existing identity provider - Okta, Entra ID, Google Workspace, or any other IdP.
3
Get started
Generate your policy, invite your team, and your AI governance program is live.
What your IT team needs to know
What they run: the Q Tower Docker bundle, on a host in your own cloud tenant or on-prem.
What they connect: your existing identity provider (Okta, Entra ID, Google Workspace, or any SAML/OIDC IdP).
What data stays where: everything (policies, tool requests, employee data) stays on infrastructure you control. The one exception is the AI-assisted precheck, which calls the AI tool your organization already uses.
SECURITY & TRUST
Built to earn your IT team's trust, not just your compliance team's.
Self-hosted architecture
Q Tower runs entirely inside your own environment, shipped as a Docker bundle. Your policies, your tool requests, and your employee data never leave infrastructure you control - there's no external database and nothing to migrate if you ever stop using it.
SSO / IdP compatibility
Works with any identity provider your organization already uses. No separate accounts to manage.
Okta
Microsoft Entra ID
Google Workspace
SAML / OIDC
Full version history
Every policy change is tracked and time-stamped, so you always know what changed, when, and who approved it. Q Tower is not SOC 2 certified or GDPR certified today; these are the real controls in place.
Policy versioning
Change log
Role-based access control
Oversight, execution, and use are cleanly separated by design.
GOVERN
Sets policy, reviews escalations, owns the AI governance program.
ASSURE
Reviews tool requests and incidents, keeps the program enforced day to day.
OPERATE
Requests tools, completes training, uses AI within the approved boundaries.
WHAT'S PLANNED
Honest about what's next.
Automatic discovery of unregistered AI tools
Planned, no date yet. Today, Q Tower governs AI that is registered or instrumented through it - tools, projects, vendors and agents that go through the approval workflow or are added to the inventory. It does not yet scan your network for AI tools nobody has registered.
See Q Tower running in your environment.
Pricing depends on org size and deployment scope - the fastest way to get a number is a short call.
One-time setup fee plus a maintenance and update contract. Early customers: the initial contract covers six months of license, maintenance and updates.
Request pricingFAQ
Questions we hear most.
How is this different from just writing a policy in a Word doc?
A Word doc is a document nobody reads twice. Q Tower turns your policy into a living system: every AI tool request is automatically checked against it, every version is tracked, and every employee's training completion is visible in one place. The policy isn't just written, it's enforced.
Does this replace legal/compliance review, or work alongside it?
Alongside it. Q Tower gives you a strong, structured first draft and an operational layer to enforce whatever policy you land on, but the AI-assisted precheck on tool requests is a flag for a human to review, not a legal determination. We'd always recommend your legal or compliance function reviews the generated policy before you publish it, the same way you would with any policy document.
What does self-hosted actually require from our IT team, and how long does setup take?
Not much. Q Tower ships as a Docker bundle your IT team runs in your own cloud tenant or on-prem, on infrastructure you already control; no new servers to provision, no vendor managing your data. Setup is largely copy-pasting a few configuration values, like connecting your existing identity provider, rather than a technical integration project - designed to deploy in a day or two. The initial contract covers six months of license, maintenance and updates.
What happens to our data?
Q Tower itself runs entirely inside your own environment: your policies, tool requests, and employee data never leave infrastructure you control, and there's no external database or third-party storage. The one exception is the AI-assisted precheck, which calls the AI tool your organization already uses - with your own API key - to evaluate a request against your policy; point it at a self-hosted model and even that stays fully internal.
Does it find AI tools we haven't registered?
Not yet; it's planned. Today, Q Tower governs AI that is registered or instrumented through it - tools, projects, vendors and agents that go through the approval workflow or are added to the inventory.
Which AI model runs the precheck, and where?
Whichever AI tool your organization already has access to, called with your own API key. Q Tower does not run or host a model itself. If you point it at a self-hosted model, the precheck stays fully inside your environment too.
Can we brand it as our own?
Yes. Custom branding for your organization is available.
Ready to turn "we should have an AI policy" into a live program?
Book a demo and see Q Tower deployed against a scenario from your own organization.