Incident → agent, in one click
From any NetPulse incident, Investigate dispatches a team and Deep ↗ opens a multi-round, verified root-cause case. The observability app and the AI workforce are the same system.
Live demo
Pick an objective. The agentic workforce assembles the right specialists, reasons over trusted context and acts within authority — sealed to the trail as it goes.
Then get an account of your own: give us your email and we send back a username and password that open both the AI workforce and the SD-WAN app it runs, on a real three-week telemetry sample.
The simulation
CEEZ compiles semantic context before any agent acts.
Business intent
“Reconcile yesterday’s transactions, flag mismatches over $5k, and stage a dual-control approval.”
ObjectiveClose yesterday · 1.8M transactions
Objective → compiled context → governed execution → sealed outcome
Your access
The simulation above is scripted. The live demo is not — it is a working workforce running a real SD-WAN operations center, and one login opens both apps. Enter your email and we will send you a username and password to sign in with.
Differentiators
The parts you won’t find in a dashboard or a chatbot — look for the ★ marker below.
From any NetPulse incident, Investigate dispatches a team and Deep ↗ opens a multi-round, verified root-cause case. The observability app and the AI workforce are the same system.
Goal daemons pursue an objective on their own — no prompt — bounded by a hard autonomy governor (budget caps + a kill-switch).
Dozens of alerts collapse into a few root situations, and the ML detector surfaces ~180 gray failures a day that never cross a static threshold.
Actions start supervised and graduate to L2/L3 on proven accuracy — auto-reverting on regression. The agent owns the brain, never the hands.
Every consequential action is cryptographically sealed with its evidence; RCA runs answer-key-blind so it can't cheat.
A good agent run becomes a deterministic, $0, replayable pipeline — on demand, on a schedule, or via API.
Part 1 · The platform
A governed team of AI agents that does the work, at ceez.ai. Sign in (tenant sdwan); the sidebar is grouped Build · Run · Oversee · Analyze · Configure.
Your manager's desk — what needs a decision, the live pulse, and one-click actions.

Chat with any agent or team; sessions persist and cross-team routing is automatic.

Goal-driven cases: an agent or team investigates across rounds, accumulating evidence until a verified conclusion.
R6/6) — this took multiple verified rounds, not one shot.
Three kinds of prompt-less agents — Queue workers, Goal daemons (pursue an objective on their own), and Briefings — all governed, budget-capped, and ledger-sealed.

Edit agents, teams, skills, tools, hooks, policies. Every save creates an immutable version.

Saved deterministic pipelines — replay a proven run on demand, on a schedule, or via API, with no LLM, no cost, and a sealed trail.

Every consequential action, sealed across the tenant. Click any row for the forensic view.
query_data with the exact SQL, or an agent_reply with cited facts.
Decisions, runs, cost, success, latency, and tool usage across the whole workforce.

Part 2 · The application
A full SD-WAN observability suite built on the CEEZ workforce, at netpulse.ceez.ai. The left-nav is the AIOps pipeline itself: Signal → Alerts → Correlate → Govern → Ahead.
Fleet posture at a glance — with an "Ask CEEZ" bar that reaches the same agents.

Faceted time-series: pick a site × metric × window, live from the warehouse.

Per-link availability vs. contract, error-budget bars, and breach flags.

A live hub-and-spoke map of sites, tunnels, and providers — click a node to investigate.

The middle of the pipeline turns raw signal into a few root situations — and catches failures static thresholds miss.

Where NetPulse and the CEEZ agents become one system: from an incident, one click sends the workforce to root-cause it.
sdwan-investigation team for a fast RCA; the grounded root cause lands back on the card.
The deterministic decision engine + the full audit ledger — "read → decide → act, without owning the hands."

Supervised → earned autonomy: the agent plans and verifies a fix, but never executes without approval.

Get started
Request your username and password above, then open either app and sign in with them.
Both apps need the username and password we email you. Live demo on a 3-week SD-WAN telemetry sample — every screen queries real data. Shared environment: please explore freely, but avoid deleting records.