Working AI you can actually open.
Not slides. Not a demo reel. A living showcase of agentic systems: real-time voice, workforce intelligence, multi-model cost analysis, planning, and a small orchestration lab. Every one is online or openly documented, one click away.
Live. Not mockups. Open any of them.
Each card is a real system running on its own infrastructure — speak to one, upload to another, race models in a third. Go ahead.
Real-Time Voice Agent
Talk to it or type. A browser voice agent wired to an always-on backend — live intake, summarization, and agent-assisted triage in real time.
Workforce Intelligence
Upload a resume; it builds a structured skills profile, matches it against live postings, scores fit, and writes tailored materials — extraction, matching, and a human refinement loop.
Multi-Model Cost Lab
One prompt, every model. Run it across Codex, Claude, and Gemini and watch cost, tokens, latency, and answer quality race side by side. Model governance, made visible.
Agentic Planner
Describe a goal; a planner drafts the whole thing — phases, tasks, dependencies — then an agentic clerk keeps it current as the work moves. Decomposition and program control, automated.
Agent Orchestration Lab
A behind-the-scenes note on controller-led tasks, scoped roles, provider routing, cost visibility, and review gates.
SAP BTP Applications
Classic SAP workloads, reborn cloud-native on SAP Business Technology Platform. A growing suite — in active development right now.
Agent orchestration, in plain view.
A small look at the lab work behind the demos: controller-led tasks, scoped roles, provider routing, cost visibility, and human review. OSHAL is the internal working name, not a product line.
What it proves
This section is supporting evidence, not the main company pitch. ECSG stays focused on government technology services; Agentic Federal keeps a small window into the experiments and architecture that support that work.
The claim is deliberately narrow: beta framework engineering, working demos, and internal proof points. Not an awarded federal system. Not a universal benchmark.
Workflow controller
Receives work, applies workflow rules, assigns roles, and moves the ticket through bounded stages.
Message queue
Message streams and queues connect controller, workers, and runtime agents.
Scoped agents
Specialist agents execute scoped work through approved harnesses, tools, and providers.
Cost and quality
Provider use, token cost, artifacts, and assumptions stay visible for review.
Reviewed delivery
Work is packaged only after review gates, not treated as unmanaged AI output.
Guardrail: This is beta lab work and supporting technical evidence. It is not a product line, deployed government platform, awarded federal performance, or a universal benchmark.
Most AI lives in a slide deck. This one runs.
Agentic Federal is a playground for working agentic systems — built to be opened, poked, and stress-tested by anyone who lands here. No gated demos, no "request a walkthrough," no screenshots pretending to be software. If it's on this page, it's online. Click anything above and use it.
Open something.
Pick a system and put your hands on it. That's the whole point.
Back to the systems