AI Agents & Automation
Your workflows, run by agents. Built, governed, and managed by OnX.

Governance, not technology, is the bottleneck.
Agentic AI is moving into production faster than the controls around it. Ungoverned agents, not external attacks, are becoming the biggest disruption to corporate and government cybersecurity. Cost, cybersecurity, and trust all have to hold, or an AI risk gap opens.
Governance and risk management, not the technology, are now the bottleneck. Every organization faces the same three questions: who builds the agents, who runs them, and who is accountable when something goes wrong. Mid-market organizations face enterprise-scale demands with fewer resources.
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Agents in days. Governed from day one.
Forge Agents is the OnX product for building, deploying, and managing AI agents. It runs on a proprietary OnX platform modeled on over 100 production artifacts and dozens of blueprints spanning multiple industries.
Agents run inside your own environment, on the cloud tenancy and model you already use. Access controls, intake gates, auditable decision trails, and human-in-the-loop checkpoints are designed in from the start. After go-live, OnX handles monitoring, accuracy reporting, and improvement.
AI Agents & Automation Capabilities
Six capabilities covering the full agent lifecycle: design and build, deploy, govern, operate, measure, and secure. One accountable partner.
Agent Design & Build
Describe the work in plain language and the platform builds it, drawing on pre-built production artifacts and cross-industry blueprints.
Agent Deployment & Integration
Agents deploy inside the cloud tenancy you already use, or fully private infrastructure you control. Your data stays in your environment.
Agent Governance & Control Plane
Access controls, intake gates, auditable decision trails, human-in-the-loop checkpoints, and explainable outputs. Nothing reaches production without clearing review.
Agent Usage & Spend Visibility
Security policy, metered spend, and usage analytics in one view, tracked down to every user, skill, and token.
Model & Agent Security
OnX engineers vet open-source models, control versioning and updates, validate for new exposures, and pivot the harness when a problem surfaces.
Agentic Readiness Advisory
Forge Agents Advisory
Most organizations have no shortage of agent ideas. The hard part is knowing which ones to build first.
The OnX Forge Agents Advisory is a compressed engagement that runs at the front of a Forge Agents deployment. It identifies and scores candidate workflows against two criteria: the value the work moves, and what an agent would actually need to run it. That second criterion covers scoping the work, confirming the agent can reach the data it needs, and clearing security review. It is what separates an agent idea from an agent that ships.
Your team leaves with the two to three workflows prioritized for build, and those go directly into the deployment.
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What success looks like
Three outcomes show up most consistently in the AI Agents & Automation engagements we lead.
Operational excellence
Agents take on the workflows that consume the most manual effort, running inside a control plane where every action is logged and reviewable.
Reduced risk
Access controls, intake gates, auditable decision trails, and human checkpoints are built in, so security and compliance can see what agents are doing before production.
Cost optimization
A consumption-based entry point instead of embedded engineers on a bench. Agent performance is mapped against the ROI scoped with you before go-live.
“Organizations need one partner that can deliver and manage the entire AI agent stack across infrastructure and software. Most companies already have powerful platforms. What they lack is the engineering to run agents securely, connect data to workflows, and prove ROI. We bring those pieces together, so AI becomes part of how the business runs.”

Mark Giles
Chief Technology Officer
Don’t take our word for it
“OnX has been an incredible partner and really takes the time to understand our needs and our culture. They have been fantastic throughout and represent OnX professionally and with curiosity about our technology landscape.”
“Onx is exceptionally agile partner, consistently attentive to our needs and always quick to adapt. Their customer focus and responsiveness truly set them apart as a top-tier service provider.”
“OnX is a reliable and trusted partner whose deliberate focus on understanding our environment, challenges, and business outcomes helps us advance complex initiatives with confidence.”
“The OnX account team consistently demonstrates professionalism, expertise, and a strong commitment to service. They translate customer requirements into practical, cost-effective solutions, making them a valuable partner.”
“The OnX account team consistently demonstrates professionalism, expertise, and a strong commitment to service. They translate customer requirements into practical, cost-effective solutions, making them a valuable part.”
Agents are one layer of the AI program
Agents sit on top of strategy, infrastructure, data engineering, and governance. OnX delivers every layer as one accountable practice, not a series of disconnected projects.
AI & Data Strategy
The upstream work to prioritize use cases, size the data foundation, and sequence AI investment against business outcomes.
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AI Infrastructure
The compute, storage, and networking foundation AI workloads need, engineered for AI-caliber throughput and built to scale as your program matures.
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Data Engineering & Architecture
The pipelines, platforms, and architectural patterns that turn raw enterprise data into something AI and analytics workloads can use at scale.
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Analytics & Business Intelligence
The reporting, dashboards, and analytical capabilities that get the right information to the right people at the right time.
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Data Governance & Management
The policies, ownership models, and operational practices that keep your data trusted, compliant, and usable as your AI and analytics footprint grows.
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Clear thinking on AI, security, cloud, infrastructure, and the decisions that determine whether technology delivers or disappoints.
FAQs module
An AI agent is software that uses a large language model to complete multi-step work with limited human intervention. Unlike a chatbot, which responds within a scripted conversation, an agent can retrieve information, reason across it, call other systems, and take action inside a workflow. In practice that means an agent does not just answer a question about an invoice; it can pull the invoice, check it against the purchase order, flag the exception, and route it for approval. Agentic AI is the broader category term, used by industry analysts to describe systems that plan and act rather than only generate. An agent is the unit of work; agentic AI is the class of system. That capability is also what makes governance a prerequisite rather than an afterthought.
There are two clocks, and separating them gives you the accurate answer. The build itself is measured in days. Because OnX builds from a proprietary platform of pre-built production artifacts and cross-industry blueprints rather than starting from a blank page, an agent goes from plain-language description to working software in days, not months.
The full engagement typically runs four to six weeks. That window includes the work that comes before the build: scoping the use case, confirming the agent can reach the data it needs, and clearing security review. Organizations that already know which workflow they are automating and have data access sorted move at the fast end of that range. The Agentic Readiness Advisory exists to compress exactly that front end.
Both paths are viable, and the right answer depends on the engineering capacity you can dedicate to running agents once they are live. Building in-house gives you maximum control but requires people who can handle model selection, integration, security review, monitoring, and ongoing accuracy management as a permanent function, not a project. Working with OnX gives you a consumption-based entry point without embedded engineers sitting on a bench. Most organizations underestimate the operating half of the equation, not the building half.
No. Forge Agents is model-agnostic by design. Agents run on the model and cloud tenancy your organization already uses, whether that is a frontier commercial model, a third-party model, or an open-source model, and whether that runs in a public cloud or fully private infrastructure. OnX does not pick the model. OnX makes the model work. That means no new ecosystem to buy into and nothing to rip out of your existing stack.
Put your agents to work.
You do not need a platform commitment to start. Scope a single workflow, prove it, and expand once you know what works. A first engagement typically runs four to six weeks, end to end.