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Executive · Governance & ROI Board

Are we governing our AI agents — and is it improving?

Governance index 76, up 18 pts over 6 weeks while spend rose 62%control is improving despite growth. 42% of spend ($290.50) is at risk, but the top 3 agents carry 100% of it — govern support-copilot, Codex CLI, marketing-gpt and most of the exposure clears.

Governance index

target ≥ 80
76of 100

▲ 2 vs last period

fleet-average posture across 7 instrumented agents

target 80 · 4 pts to go

Governed agents

63%

5 of 8 agents policy-bound

Spend at risk

at risk
$290.50/ $684.50

42% through risky / ungoverned agents

2

open high findings

clearing in ~3w

1

critical agents

posture < 50

88%

instrumentation coverage

1 shadow agent

$684.50

total AI spend

54% from cache

Governance index — 6-week trend

posture history (projected)

Up 2 pts this period. At the recent pace, the fleet reaches the 80 target in ~2 weeks.

target 80
−6wnow: 76

Spend — daily

$684.50 total

Up 62% across the window ($88.20 → $142.60/day).

2026-05-282026-06-03

Are the agents earning their keep?

effectiveness detail →

Governance answers "is it safe"; this answers "is it working." Fleet success 89% across 1,212 tasks — about $0.64 per successful task — but only 63% of agents emit a measured outcome signal (projected where signal ≠ measured).

89%

fleet success rate

8%

needed a human

$0.64

spend / successful task

63%

measured coverage

What's driving risk & spend

agents below the 80 posture target, ranked by spend

Concentrated, not diffuse: top 3 agents = 100% of the $290.50 at-risk spend (support-copilot, Codex CLI, marketing-gpt). Govern these and most of the exposure goes away.

Agent
Owner
Governance
Posture
Spend
Top risk factor
support-copilot
top-3
svc-support@qpoint.iogoverned65$168.40Running as root
Codex CLI
top-3
dev-7f3@duck.comungoverned70$78.00Sandbox disabled
marketing-gpt
top-3
rootungoverned25$44.10Approvals & sandbox bypassed (yolo)
Zed Agent janeungoverned60$0.00No tool-approval policy

Open high & medium findings

Backlog trend: closing ~4/wk vs opening ~2/wk — net shrinking by 2/wk. At this pace the 5 open findings clear in ~3 weeks(projected — qcontrol stores current state only).

Approvals & sandbox bypassed (--yolo)

marketing-gpt · OWASP LLM06 Excessive Agency · OWASP Agentic · Insecure tool use

high

Agent running as root

marketing-gpt · MITRE ATLAS · Privilege Escalation · OWASP LLM06

high

Static API key on consumer-aliased identity

Codex CLI · MITRE ATLAS · Credential Access · OWASP LLM (Non-Human Identity)

medium

Sensitive files read into agent context

Claude Code · OWASP LLM02 Sensitive Information Disclosure · NIST AI RMF · MEASURE

medium

Unbounded token consumption — no spend ceiling

data-pipeline-agent · OWASP LLM10 Unbounded Consumption · NIST AI RMF · MANAGE

medium

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