staas.fund / AI Effectiveness & Audit / AI Reliability Monitor
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● ALL SYSTEMS NOMINAL
12 models monitored · 3 guardrail tiers active · last incident 00:00:00 ago
99.94%
30-day uptime
14d 07h
since last incident
84,217
calls today
SLA MET
this quarter
nominal
Accuracy
96.4%
vs 95.0% target
▲+0.3pp WoW
watch
Hallucination Rate
1.2%
threshold: 2.0%
▼−0.1pp WoW
elevated
Human-Override Rate
4.8%
baseline: 3.2%
▲+0.6pp WoW
nominal
Avg Latency p95
840ms
SLA: < 1,200ms
—stable ±18ms
nominal
Cost / 1k Calls
$2.10
budget: $2.50
▼−$0.08 WoW
7 today
Guardrail Trips Today
7
avg 4.2 / day
▲+3 vs yesterday
live
Calls / Min
58
peak today: 142
—ticking…
healthy
Error Budget Remaining
73%
resets in 6 days
▼−2% this week
Per-Model Reliability LIVE
Model / Dept Accuracy Drift p95 Lat Override% Status
Golden-Test Pass Rate 8 recent eval runs
97.1%
latest run · 412/424 tests passed
canary for regression — dip here = model drift
Quality Drift — All Models 30-day rolling accuracy
Live Escalation Feed STREAM
AI Effectiveness & Audit · Reliability Monitor
Field Guide
For the AI-Ops lead, MLOps engineer, and the executive accountable for AI quality governance.

01 How to use this dashboard

  • Start at the status header. GREEN = all SLAs met. AMBER = at least one model degraded. RED = incident in progress. Read the incident timer — if it's < 1 hour, open the escalation feed first.
  • Metric tiles are your early warning system. Hallucination rate and human-override rate are the leading indicators — they spike before accuracy drops. Watch their weekly trend arrows.
  • Per-model table drives remediation. Sort by Drift. Any model with ▲ red drift and override% > 8% needs re-evaluation or rollback. Click the row for the full burn-down chart.
  • Golden-test pass rate is the regression canary. A dip to < 95% means a recent deployment changed model behavior. Pause the rollout, open the failed-case log.
  • Guardrail trips are signals, not just noise. > 10/day on any single trip type means your prompt design or model routing has a structural gap. Escalate to the prompt engineer.
  • Ask yourself: if accuracy dropped 3pp overnight, would this dashboard page on-call within 5 minutes?

02 Watch the walkthrough

▶
Agent walkthrough — coming soon
Four AI agents narrate this wallboard — walking through model drift, a guardrail event, and an error-budget burn-down in real time.

03 In context — sample feed

Live Events · Today Sample Feed
09:14 CRIT Guardrail blocked PII leak — support-summarizer output contained SSN pattern. Claim #SS-4821. Routed to compliance queue.
10:02 WARN Drift alert: Pricing Model v3 accuracy dropped 2.1pp since Tuesday deploy. Human-override rate now 9.2%. Rollback candidate flagged.
10:47 INFO Golden-test run #88 completed. 97.1% pass rate (412/424). 12 failures in financial-calculation suite — ticket auto-created: GT-2210.
11:33 WARN Human override on contract-review output — agent #CR-77. Reviewer marked conclusion "factually incorrect". Case escalated to legal SME.
12:18 OK Intent-Classifier v7 deployed. A/B accuracy: 97.8% vs 96.1% control. Error budget impact: −0.4%. Promotion approved by MLOps.
13:05 WARN Guardrail trip: toxic-output filter triggered on customer-email-draft. Dept: Marketing. Template prompt updated; re-test queued.
14:41 INFO Error budget at 73% — on track. Burn rate: 1.8% / week. SLO window closes in 6 days. No action required.
Illustrative sample data · wire to your event bus / LLM monitoring platform · as of Jun 25, 2026

★ This dashboard is part of the staas.fund AI Effectiveness & Audit showcase. All figures are illustrative. No live AI systems are connected.