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Client story · IT services

Secure enterprise AI deployment: How OnX governs Claude for all employees

Before asking a single client to trust AI with real work, OnX ran the deployment across our own business. We’ve turned our experience into a blueprint for mid-market organizations to compete at scale in an AI-driven world.

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Industry

IT services

Deployed

Anthropic Claude for Enterprise, under one governed control plane

Timeline

From pilot to company-wide roll-out within four months

Key outcomes

< 3 months

Payback on the full AI program investment

CFO-Verified

~$2M

Closed-won revenue

Salesforce-Anchored

0

Major security incidents attributable to AI

Security-Validated

2x faster

Incident containment with agentic SOC

Security-Validated

The CFO’s test

“Our ROI numbers go through multiple rounds of verification, not because we doubt them, but because we know AI ROI claims across the industry often don't survive scrutiny. Every figure we report is cross-checked against actual results in the P&L. That's not a marketing claim.  It's a financial discipline. Our AI spend is accountable to real, provable returns."

Perry Armstrong

Chief Financial Officer, OnX

Right (12)

The situation

Fast is easy. Governed is hard. Companies need both.

Mid-market organizations face particular risk from AI pilots that scale activity without organizational readiness. That gap closes when governance comes before rollout.

With a cloud-native environment that requires complete infrastructure and data protection, OnX took a rigorous approach to securing and governing AI agents at scale before rolling out Anthropic Claude for Enterprise to all employees.

The approach

Governance first, then scale

We became our own first client. Before we deployed anything, we worked through four questions:

  • Data exposure. How do you connect AI to real systems without exposing sensitive data?
  • Proof of value. How do you prove ROI when most initiatives cannot quantify value for the CFO?
  • Fragmented readiness. How do you move fast when every team is figuring out AI on their own?
  • Workforce trust. How do you get a workforce to trust and adopt AI at scale?

Each answer had to hold up in production, not on paper. Our CEO-sponsored, company-wide Anthropic Claude for Enterprise rollout started with a small pilot of employees in March 2026 and within four months scaled company-wide, relying on the same discipline we sell to clients: resilience, incident response, and disaster recovery automation.

Over the course of those four months, six workstreams carried the rollout, each covering a different focus and each shipping with its own controls rather than inheriting them later:

We didn’t get everything right the first time. Early red-teaming caught access permissions far broader than they should have been, and the audit trail caught an agent pulling from a repository it was told to avoid. We fixed both before scaling.

The CTO view

“The only honest way to recommend this was to prove it on ourselves first. We deployed AI company-wide across our own operation, worked out where the risks were, and built the controls to match. What clients get now is not a theory. It is a path we have already walked end to end.”

Marc Sooley

Chief Technology Officer, OnX

The outcome

This is how the mid-market wins with AI

We used our own deployment to prove that AI could scale without compromising security, governance, or accountability. Three numbers carry that proof: what the tool chain stopped, how much of the estate the control plane covers, and what share of agents cleared review before going live:

Now we have a proven framework for giving clients an AI control plane that identifies, authenticates, and authorizes every agentic interaction in real time.

You don’t have to be a technology company to achieve similar results. In fact, our earliest and largest wins came from finance reporting, proposal response, and employee support. These are workflows that every mid-market organization runs. What’s more, it’s not just technologists contributing to Skill Forge. OnX has active builders across various departments, including sellers, finance analysts, marketing, and operations staff.

Put the OnX blueprint to work

We have packaged our own experience and resources into OnX Forge AI, including advisory services to identify the work worth doing, a governed control plane for your CISO, skills and agents that power real workflows, and the team that runs them in production after go-live. While Anthropic underpins our internal work, each client’s agents will run on whatever model fits their environment.

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Figures reflect OnX internal systems of record as of the reporting period. Results described are specific to the OnX environment and are not a guarantee of outcomes in any other organization.