EXECUTION-CAPABLE AI GOVERNED ACTION LIFECYCLE AUDIT-DEFENSIBLE EVIDENCE

Governance for AI that acts.

Operational control with evidence you can defend.

If AI can access regulated data, call tools, trigger workflows, modify systems, or issue outputs teams treat as decisions, the problem is not just model quality. It is governed execution.

NIST AI RMF: Aligned
ISO 42001: Mapped
EU AI Act: Ready
Verification: Multi-Model
EXEC SUMMARY //

If your AI can act, you need evidence, not reconstruction.

AI systems now read internal data, call tools, change system state, and emit outputs organizations treat as operational decisions. Evidence trails are often thin. Authority is often vague. When scrutiny arrives, everyone becomes a historian.

PRIMARY ENTRY OFFER
AI Governance Exposure Scan
A rapid fixed-fee diagnostic for agentic systems, connected tools, and AI-enabled workflows in regulated environments.
EVIDENCE PRIMITIVE
Telemetry, not reconstruction

Control fails when it is written after the fact. Evidence has to be created at the moment action occurs.

ENTERPRISE ENTRY

AI Governance Exposure Scan

For regulated enterprises running AI in connected workflows. We identify control gaps, authority ambiguity, execution constraints, escalation logic, evidence readiness, and audit exposure.

Rapid fixed-fee diagnostic — typical range: $495 to $2,500

DEVELOPER ENTRY

ZDG-FR Developer Edition

For developers and builder teams. Trace runs, replay sessions, inspect tool and model activity, and capture token, latency, and cost telemetry — before you need full runtime governance.

Starting at $20/month

THE OPERATING MODEL

Governed Action Lifecycle™ (GAL)

Intent Normalization Policy Context Risk Evaluation Decision Execution Evidence

ZDG governs action through GAL, turning AI execution into attributable, constrained, and reviewable operations with evidence preserved at runtime. Every action enters the lifecycle. Every decision is recorded. Every output has a retrievable chain.

ASSESSMENT

AI Governance Exposure Scan

A rapid review of your execution-capable AI deployments, agent workflows, and connected tools to identify control gaps, authority ambiguity, and audit exposure.

WHAT SCRUTINY WILL ASK
  • • Who authorized this action?
  • • What was the system allowed to do?
  • • What would have stopped it?
  • • What evidence exists?
  • • Can the decision path be reconstructed without improvisation?

If you cannot prove control, you do not have control.

WHAT WE EVALUATE
Identity & Authority
Who is acting, under what authority, and on whose behalf.
Scope & Tool Control
What systems and tools can be reached, under what constraints.
Decision & Escalation
How actions are selected, when escalation triggers, and where human authority enters.
Execution Constraints
Budget, time, approval, and kill-switch boundaries.
Evidence & Audit Readiness
Whether actions, approvals, and outcomes are logged and retrievable in defensible form.
YOU RECEIVE
  • • Executive risk heat map
  • • Control gap analysis
  • • Immediate remediation roadmap
  • • Audit exposure summary
  • • Board-ready briefing
  • • Framework alignment notes

Rapid fixed-fee diagnostic · Remote interviews + architecture and workflow review · Typical range: $495 to $2,500

DEVELOPER ENTRY POINT

ZDG-FR Developer Edition

See the run before you govern the fleet.

For teams building with execution-capable AI. ZDG-FR Developer Edition gives you session tracing, replayable decision timelines, and tool and model visibility from day one — without standing up a full governance stack.

THE COMMERCIAL LADDER
  1. 01 See the run — ZDG-FR Developer Edition
  2. 02 Control the run — ZDG-AFW
  3. 03 Prove the run — ZDG-BB / evidence-hardened FR
  4. 04 Govern the run — ZDG-ACP

ZDG-FR Developer Edition is standalone in packaging, foundational in architecture, and expandable in commercial design.

Starting at $20/month

No infrastructure required. Runs locally or in your existing environment.

WHAT YOU GET
Session Tracing
Trace every action across a session with full context preserved.
Replayable Timelines
Replay any run with ordered, labeled decision events.
Tool & LLM Visibility
See which tools were called, what was passed, what returned.
Token & Cost Telemetry
Track token usage, latency, and model spend per run.
Debug Traceback Replay
Reconstruct the exact path to any unexpected output.
Exportable Debug Bundles
Share audit-grade evidence with your team or support.

CONTROL PLANE

ZDG Agent Control Plane™

AI systems now act inside enterprise environments. They connect to tools, access internal data, and trigger downstream workflows. Most organizations have models and applications. What they often lack is a governance layer that makes execution attributable, constrained, and defensible.

THE STRUCTURAL GAP

Connectivity is not governance.

Connecting a model to tools does not define who is authorized to use them or what they are permitted to do.

Orchestration is not authority.

Routing actions between agents does not establish accountability, escalation logic, or human override.

Access is not control.

Granting access to data or systems does not create a defensible record of what was done and under what constraint.

identity → accountability scope → constraint telemetry → proof override → sovereignty
WHAT SCRUTINY REQUIRES ANSWERS TO
Who is acting?
Under what authority?
Within what scope?
What controls fired?
Where was human intervention possible?
What evidence survived the action?

The ZDG Agent Control Plane™ exists to answer those questions in operational form, through the Governed Action Lifecycle™.

HOW INSTITUTIONS ENGAGE
  1. 01 Conduct AI Governance Exposure Scan
  2. 02 Establish the evidence baseline
  3. 03 Implement runtime governance controls as needed
  4. 04 Validate production readiness against the ZDG Standard

IMPLEMENTATION

Post-Assessment Implementation

Once exposure is identified, institutions move into one of three paths.

Initiate
ENTRY

AI Governance Exposure Scan

Rapid diagnostic for organizations that need to understand their AI governance exposure before committing to a larger engagement.

  • • AI system triage and risk classification
  • • Authority mapping and escalation review
  • • Evidence gap identification
  • • Executive exposure summary

Rapid fixed-fee diagnostic · Typical range: $495 to $2,500

FOUNDATIONAL

AI Control Binder

A control and evidence package for one or more execution-capable AI workflows. Builds the governance foundation for regulated audit and board-level review.

  • • System inventory and classification
  • • Authority and accountability mapping
  • • Evidence artifact set
  • • Framework-aligned control documentation
  • • Board-ready governance binder

Fixed-fee engagement · Typical range: $5,000 to $25,000

RUNTIME

Runtime Governance Stack

Full deployment of the ZDG Agent Control Plane™ with runtime evidence, GAL integration, kill-switch controls, and ongoing governance operations.

  • • ZDG-FR Developer Edition for builder teams
  • • ZDG-AFW execution control layer
  • • Evidence-hardened runtime with ZDG-BB
  • • ZDG-ACP governance console

Scoped engagement · Pricing on application

STANDARD

The ZDG Standard

The ZDG Standard defines the operational requirements for execution-capable AI. If a system cannot demonstrate attributable identity, scoped authority, runtime constraints, decision traceability, and retrievable evidence, it is not operating under defensible governance.

The Standard is typically implemented after baseline control posture is established.

EVIDENCE PRIMITIVE: TELEMETRY TAGGING

Actions and outputs are tagged at execution time with the control information needed to support review, escalation, incident response, and audit: provenance, authority tier, approval state, impact classification, and jurisdictional constraints where applicable.

Baseline recommendation: signed, append-only snapshots to prove what controls fired at the moment of action.

WHAT READINESS REQUIRES
Identity & Lineage
  • • Model and system lineage attested
  • • Non-human identity enforced
  • • System inventory complete
  • • Authority mapping in place
  • • Risk categorized
Runtime Control
  • • Controls aligned and executable
  • • Evidence standardized
  • • Human oversight non-bypassable
  • • Change and drift governed
  • • Third-party control visibility enforced
Audit & Sovereignty
  • • Monitoring and reporting cadence
  • • Incident and regulatory response ready
  • • Periodic reverification enforced
  • • Jurisdictional containment
  • • Data sovereignty attested
BOTTOM LINE

Frameworks tell you what to document. ZDG helps you prove what actually happened.

ABOUT

AI is now an operational risk domain.

Systems act. Workflows trigger. Decisions propagate. Zero Day Governance™ exists to install operational control above that authority so institutions can govern execution, not just describe it.

We make autonomy defensible.

OPERATING PRINCIPLE
Telemetry, not reconstruction
  • • Authority is defined before execution
  • • Actions are tagged and logged at runtime
  • • High-impact outputs require escalation where appropriate
  • • ZDG-FR Developer Edition is the standalone developer entry point for teams that need evidence before they need a full governance console
  • • Evidence is retrievable, bounded, and review-ready
FRAMEWORK ALIGNMENT

We map operational control artifacts directly to framework obligations so review cycles accelerate instead of stall.

NIST AI RMF
Ownership, controls, monitoring, and decision records become evidence artifacts backed by runtime proof.
ISO/IEC 42001
Process execution, scope, review, and accountability become audit-ready artifacts tied to actual control operation.
EU AI Act
Traceability, oversight, and incident readiness become operational evidence, not retrospective narrative.

INITIATE

Request Exposure Scan

We respond within one business day with scope confirmation, timeline, and delivery outline. No system access is required for initial scoping.

DATA HANDLING NOTICE

Transmission encrypted. Handling rules and retention limits are defined before sensitive artifacts are shared.

  • • Response within 1 business day
  • • No system access required for scoping
  • • Defined artifact delivery schedule
  • • Fixed-fee structure confirmed before work begins
SCOPE REQUEST

By submitting, you agree we may contact you about the requested package and related implementation options.