AI Governance

Shadow AI Isn’t a Risk. It’s the Reality.

Visibility

Into every tool in use.

Ownership

Over who can access and change it.

Continuity

A plan for when a vendor’s model changes underneath you.

Without those three, the risk doesn’t go away, it just moves somewhere you can’t see it.
1

Built From What’s Deployed, Not What’s Remembered.

Every tool visible through your SSO, cloud billing, and network traffic shows up automatically, refreshed continuously instead of updated by hand. Tools paid for on a personal card and used outside any monitored system are the one gap automation can’t close, so we find those through structured interviews instead.

2

A Name Behind Every Tool, Not Just a Login.

A named owner is accountable for who has access and what changes get made, for every tool on that list. When someone leaves or a team reorganizes, that accountability moves with them, it doesn’t just quietly vanish.

3

You Hear About It Before Your Customers Do.

When a vendor updates a model, changes pricing, or shuts down, it shows up in your governance view first. You decide how to respond, on your schedule, not theirs.

1

Audit

We start with what’s visible through your SSO, cloud billing, and network activity, then close the gap with structured interviews across teams, surfacing far more than an IT inventory alone.

2

Assign

Every tool on that list gets a named owner: the person accountable for access and changes, not just a login with no one behind it.

3

Deploy

A-CX AI Nexus goes live in your own cloud, not ours, giving you one governed view of everything from step one.

4

Monitor

Vendor changes, model updates, and pricing shifts surface in your console before they surface as a problem.

The Platform Behind Every Governance Decision.

A secure foundation you deploy in your own cloud, so every workflow you automate stays visible, governed, and under your control.

Every Tool Visible Before It Becomes a Problem

Every tool visible through your SSO, cloud billing, and network activity shows up as soon as it’s deployed, not months later from a security audit or a surprise invoice. What we can’t see automatically, we surface through structured interviews instead of leaving it a blind spot. That’s the difference between managing AI and reacting to it.

Lowers Your Risk

When three different teams have each added their own AI tool over the past year, “who’s responsible for this?” shouldn’t require a Slack thread and a round of guessing. Every tool has a named owner from day one, so when something needs updating, approving, or shutting off, there’s one person to ask instead of a search party.

A Vendor’s Bad Day Isn’t Yours

Vendors get acquired, change their pricing, or deprecate the model you built around, and none of that is under your control. What is under your control is whether you find out from them or from Nexus first, and whether switching costs you a weekend of emergency rework or a scheduled afternoon of planned migration.

Our Latest AI-focused Case Studies

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    Show Up Online: An Agentic Website Business

    Creating a website for a small local contractor costs more than the website is worth, which is why so many of them still do not have one. Closing that gap took AI website generation built into an outreach and delivery…

  • Using Retrieval Augmented Generation To Customize and LLM
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    Consumer Products Company: An AI Assistant Trained on Its Own Data

    We helped a client create a custom LLM to encourage their employees to explore AI to improve the efficiency of different business practices.

Your AI Governance Starts Here

In a few weeks, you’ll know exactly what’s running across your company, who owns it, and what A-CX AI Nexus looks like protecting it.

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