Platform · Governance

Control without
micromanagement.

Governance is not about limiting what the system can do. It is about defining the boundaries within which it should act freely — and knowing it will never cross them.

Decision Hierarchy · ActiveAll layers enforced
01
Brand Guideline Document
02
CEO Non-Negotiables
03
Brand Core
04
Decision Memory
05
Learned Preference Patterns
Checked in order · every agent action5 layers · 0 violations
Design Philosophy

Governance that respects your time.

Most governance systems create friction. Ours creates confidence. The difference is in the design: governance here is structural, not procedural.

01

Escalation scales with risk — not task type.

The system does not ask for approval because a task is complex. It asks because the risk score exceeds your threshold. A simple product description change that deviates from brand voice triggers a review. A complex SEO audit that fits every guideline does not.

02

You set direction. Not mechanisms.

You define strategic tolerances: how much brand deviation is acceptable, what financial exposure requires review, how aggressively the system should act. The system handles the operational logic. You never touch configuration files.

03

Trust is earned through performance — then formalized.

When the system makes good decisions consistently, autonomy expands. When it deviates, the threshold tightens. This is not manual adjustment — it is the natural output of the Policy Evolution system, always requiring your explicit approval.

04

Silence means stability.

If nothing is escalated, the system is not idle — it is operating within your defined parameters. You only hear from it when something genuinely requires your attention. Absence of alerts is a signal, not a gap.

Approval Architecture

Four modes. Infinite precision.

Every domain — marketing, commerce, support, logistics, SEO — has its own approval mode. You configure once. The system routes every action accordingly, forever.

·

Silent Mode

TRIGGER

Confidence above threshold · Risk: low

ACTION

Executes automatically. Logged. Never interrupts.

e.g. SEO meta description optimization within brand guidelines

Notify

TRIGGER

Moderate risk · Outcome tracking relevant

ACTION

Executes, then informs. One-line summary. No action required.

e.g. Email campaign sent to 4,200 subscribers — 91% confidence

Soft Approval

TRIGGER

Risk elevated · Confidence borderline

ACTION

One-click confirmation. Context and impact shown. Fast.

e.g. New product launch copy — tone deviated 8% from brand voice

Full Review

TRIGGER

Financial exposure exceeded · Brand risk · Critical

ACTION

Sandbox simulation first. Full context. Approve / Adjust / Reject.

e.g. Price change affecting 140 SKUs — CHF 12,400 revenue impact

Default configuration — fully customizable per domain

MarketingSoft Approval
StoreFull Review
SupportSoft Approval
LogisticsNotify
SEOSilent

Approval modes are adjusted from Settings → Governance. Changes apply immediately.

Risk Engine

Every action scored
before it executes.

Before any agent acts, the Risk Engine evaluates four dimensions. The composite score determines whether the action is silent, notified, soft-approved, or fully reviewed. Automatically. Consistently.

Brand Deviation

How far does this action drift from the active Brand Guideline? Tone, visual style, messaging hierarchy — all evaluated.

Financial Exposure

What is the maximum possible revenue impact, positive or negative? Actions above the CEO-defined threshold trigger Full Review.

Legal Exposure

Does this action risk regulatory or compliance issues? Specific content, pricing communications, and data handling are monitored.

Reputational Impact

Could this action generate negative brand perception if published? Evaluated against historical brand risk events in memory.

Execution Sandbox · Pre-flightSimulation mode
Intent AnalysisCampaign optimization — SEO + paid channel
Brand Alignment ScanScore: 94 / 100 — within tolerance
Financial Impact ModelExpected uplift: +CHF 4,200 (±18%)
Risk AssessmentLevel: LOW — confidence 91%
Escalation DecisionSilent Mode — executing autonomously
Pre-flight complete · Executing autonomously

No real systems modified during simulation

For high-risk actions, the sandbox runs the full simulation before touching any live system. The CEO reviews projected outcomes, not proposed changes.

Trust Metrics & Policy Evolution

Trust is not given.
It is measured.

The system exposes four trust metrics that are always visible. They quantify the health of the relationship between CEO intent and autonomous execution. Visible. Measurable. Improving.

Autonomy Utilization Rate

74%

target > 80%

Percentage of tasks executed without escalation. Increases as the system learns your preferences.

Escalation Frequency

12%

target < 10%

How often the system asks for your input. Should decrease continuously. A system that never escalates is reckless. One that always escalates is useless.

Brand Stability Score

96/100

target > 90

30-day rolling score measuring brand consistency across all agent actions. Based on guideline violations, rejected proposals, and no-go boundary proximity.

Decision Confidence Trend

89

target > 85

Average confidence score across all autonomous decisions. Rising trend indicates the system is increasingly well-calibrated to your brand context.

Policy Evolution

When the system detects reliable patterns — consistent approvals, stable outcomes, zero violations — it proposes a policy update. You review, approve or reject. The system adapts. Permanently.

Policy Evolution · Active
proposedMarketing

Increase autonomous publishing threshold

14 approved posts, 0 violations over 30 days

Reduces approval requests by ~8/week

activeSupport

Auto-resolve known shipping delay patterns

Accepted by CEO — Week 3

Saves 2.4h/day of manual review

activeSEO

Silent mode for meta optimizations

Accepted by CEO — Week 1

0 escalations for 200+ meta changes

Strategic control without operational involvement

Set the boundaries once.
Delegate everything else.

Governance is what allows you to trust the system completely. Not because it never makes mistakes — but because every mistake is bounded, visible, and correctable. You are always in control. You are just not in the way.

5-tier decision hierarchy
4 approval modes per domain
Risk Engine on every action
Sandbox simulation
Policy Evolution
Trust metrics visible