Everything you need
to evaluate PractIQ
Technical and business documentation for the AI Delivery Operating System — from platform security to the full architectural case. Download the resources below, no sign-up required.
How PractIQ operating model works
Each resource looks at PractIQ from a different angle – security architecture, the solution at a glance, and the strategic case for an AI Delivery Operating System. Read them in any order that fits your role.
What’s inside
each document
A quick look at what each resource covers, so you can head straight to the one that answers your question.
Security built into the architecture
The security principles behind PractIQ — runtime environment isolation, Zero Trust with attribute-based access control, a central LLM gateway with guardrails, and ontology-based data loss prevention — plus how Red Hat OpenShift adds infrastructure-level protection for regulated sectors.
The platform at a glance
PractIQ as an AI Delivery Operating System across Greenfield, Brownfield, and Modernization scenarios. Covers the five-layer architecture on OpenShift, the five ready-to-use SDLC practices, and the measurable business benefits of governed, repeatable AI delivery.
The strategic case, in depth
Why enterprise AI adoption stalls, why point tools fall short, and how a new category — the AI Delivery Operating System — closes the governance gap. Includes market context, the five-layer technical architecture, OpenShift deployment models, and an incremental rollout path.
Ready to see PractIQ in action?
Documentation is a good start – a working session is better. Talk to our team about applying PractIQ to your SDLC on Red Hat OpenShift.
