## Built on AIOL ### 508 Design Studio Niyam built the 508 Design Studio on AIOL. Section 508 remediation collapsed from a manual bottleneck into a single chat prompt. Long Word and PDF documents that take hours of hand fixes run through the AIOL chat agent in minutes, while program leaders watch real time delivery status across multiple teams from one approved JIRA view. The product is real, shipping, and on AIOL. - **Hours → Minutes**: Section 508 remediation cycle time for long Word and PDF documents, delivered through the AIOL chat agent - **One View**: Cross team JIRA visibility unifying delivery teams under a single approved platform for federal accessibility program leaders - **Live on AIOL**: 508 Design Studio is built and running on the AIOL runtime, not a slide ware concept ## See It in Action ### Watch the 508 Design Studio do the work The clips above show the AIOL chat agent remediating real Section 508 violations inside long Word and PDF documents, and the cross team JIRA view that program leaders use to track delivery. ## Open Source ### Government Agent Starters Niyam publishes the same starter agents we build production missions on, so federal teams can stand up a governed AI agent on day one instead of bootstrapping a project from scratch. The starters mirror the AIOL runtime contract, slot into the FastMCP connector mesh, and ship with the security pipeline patterns we use on customer programs. Browse and clone the public reference implementations on GitHub: [github.com/Niyam-Projects/government-agent-starters](https://github.com/Niyam-Projects/government-agent-starters/). ## What AIOL Provides - A production runtime that takes federal AI agents from prototype into reliable, governed orchestration, with one auditable code path across CLI, HTTP, and web UI - Agent discovery, model routing, evaluation, monitoring, and rollback, wrapped in a six stage security pipeline aligned with FedRAMP and NIST 800 53 - Native integration with Niyam's data, cloud, and mission platforms through the FastMCP connector mesh, so AI inherits the same assurance posture as the rest of your stack ## Why It Matters ### Orchestrating AI at federal scale Most agency AI investments stall between "promising prototype" and "production system." AIOL is the layer that closes that gap with the controls, observability, and governance the mission demands. - **Model Orchestration** (icon: FaSitemap): Run, version, and route requests across Gemini, Claude, and offline mock backends with policy based selection and graceful fallback. Swap models without rewriting your agents. - **Evaluation & Monitoring** (icon: FaChartLine): Continuous evaluation, drift detection, and human in the loop review for high stakes decisions. Every call lands in Cloud Audit Logs, including blocks. - **Mission-Grade Governance** (icon: FaShieldAlt): Identity, policy, input and output guardrails, and audit on every invocation. No bypass path. Authorizing officials review one pipeline, not N agents.