AI Compliance Readiness · Platform Overview

See where your AI governance actually stands.

AI compliance readiness is not a maturity score. It is the ability to show which systems exist, who owns them, which require review, and where evidence gaps remain.

EAB turns readiness into visible governance signals — not a questionnaire, but a live record of what must be governed next.

System visibility Evidence gaps Next actions
Compliance Readiness · Governance Signals
Systems registered and ownership assigned
Screening status across all AI systems
Evidence readiness per obligation area
Open approvals and supervisor review queue
Obligation gaps and next required actions
Executive cockpit for leadership visibility
The readiness gap

Readiness is not a score — it is operational visibility.

Many organisations believe they are prepared but cannot show the governance state across systems, roles, evidence, and approval paths. EAB makes readiness concrete.

Visibility

Systems and Ownership

Every registered AI system has an owner, a lifecycle status, and a screening state. Systems without owners surface as gaps. Readiness starts with knowing what exists and who is responsible.

Screening

Screening Status Across Systems

Which systems have been screened, which are pending supervisor review, and which have not been assessed yet. Screening readiness is visible at portfolio level — not just per system.

Evidence

Evidence Gaps Surfaced

Evidence readiness is tracked per obligation area. Missing documentation, incomplete technical records, and unverified oversight mechanisms appear before audit — not during it.

Approvals

Open Approval Queue

Supervisor approvals that are pending, overdue, or require escalation are visible in one place. Governance does not stall silently — delays surface as actionable items.

Obligations

Obligation Coverage

Which obligation areas are covered, which have evidence, and which remain open. The obligation map is generated from system characteristics — no manual classification required.

Next Actions

What Must Happen Next

Readiness only matters when it drives action. EAB surfaces the next required governance steps — per system, per role, per obligation area — as structured tasks, not free-text reminders.

From AI uncertainty to structured governance entry

From unknown AI use to governed readiness.

Readiness is not a one-time state — it is the ongoing ability to show where governance stands and what comes next.

1
Registration

Register AI systems with structured context

Governance readiness begins with structured system registration. Every system in EAB is a governed object — with an owner, a purpose, and a lifecycle state. Unregistered systems are a readiness gap.

2
Assessment

Screen and classify each system

AI Screening produces a risk classification and obligation set per system. Screening readiness is visible at portfolio level. Gaps between registered systems and screened systems are explicit.

3
Evidence

Track evidence readiness per obligation

Each obligation area has an evidence readiness status. Documentation, oversight records, literacy evidence, and technical documentation are tracked to completion. Gaps are visible before audit.

4
Leadership

Executive cockpit for governance overview

Leadership sees the governance picture across all systems, not just individual records. The Executive Governance Cockpit turns system-level records into portfolio-level readiness signals.

AI Compliance Readiness

Replace subjective confidence with governance visibility.

Readiness is not a self-assessment score. It is the ability to show what is governed, what is missing, and what must happen next.

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