Scale AI with
Guardrails & Trust.

Move beyond “AI pilots.” We engineer enterprise AI operating models—strategy, governance, policy frameworks, and auditability—so teams ship quickly while staying compliant, traceable, and resilient on Day 2.

Request Scoping

Policy + Controls

Risk + Safeguards

Audit Trails

Governance Systems Trusted in Regulated Environments

30-60%
Liability Exposure Reduction

Fewer untracked changes, clearer accountability.

2-4wk
Time-to-Governance Baseline

Policies + controls ready for build teams.

24/7
Auditability + Evidence

Logs, approvals, lineage, and traceability.

$0.
Vendor Lock-In

Own your controls, evidence, and workflows.

Beyond the Policy PDF.
Operational Controls, Not Slides.

Governance fails when policies aren’t executable, accountability is unclear, and evidence can’t be produced on demand. We build controls, approval flows, and audit trails that match how teams actually ship.

The Governance Failure Pattern

What most “policy efforts” produce:

  • Static Documents

    Policies that don’t translate to controls or team workflows.

  • No Evidence Pipeline

    Audits become scramble-mode: logs and approvals are missing.

  • Unclear Ownership

    Risk is shared by everyone, owned by no one.

The Coretus Governance Standard

Executable governance for delivery teams:

  • Policy → Controls Mapping

    Policies become checks, approvals, and enforceable gates in your pipeline.

  • Evidence + Audit Trails

    Decision logs, lineage, and proofs that are queryable anytime.

  • Risk Ownership + Operating Model

    Clear RACI, review boards, and accountable escalation paths.

Faster Delivery. Lower Exposure. Stronger Trust.

Strategic Capabilities.

Moving from AI Experiments to Enterprise Trust.

AI Strategy + Operating Model

Define decision rights, ownership, funding, and AI delivery lanes aligned to business outcomes.

  • Roadmap + RACI
  • Portfolio Controls

Policy + Control Framework

Translate principles into enforceable controls for data, models, and GenAI use cases.

  • Controls Library
  • Gate Definitions

Model Risk Management

Classification, review standards, testing, and approvals for high-impact AI systems.

  • Risk Tiering
  • Validation Checks

Access + Approvals

Role-based access, change control, and review workflows integrated into how teams ship.

  • RBAC + SoD
  • Approval Flows

Audit Trails + Evidence

Decision logs, lineage, and proofs that are queryable and exportable for audits.

  • Evidence Store
  • Lineage + Logs

Observability + Guardrails

Monitoring, drift alerts, safety signals, and incident response playbooks for production AI.

  • Drift + Alerts
  • Incident Runbooks
/// Governance Stack

Controls That
Ship with the Code.

Policy Registry + Controls

Executable Rules

A versioned policy library mapped to controls and review gates—designed for fast delivery and clear accountability.

Controls Catalog
Gate Definitions
Versioning + Owners
PolicyControlsOwners

Approvals + Access Control

Change Control

RBAC, segregation of duties, and approval flows aligned to risk tiers—so high-impact changes can’t slip through.

RBAC + SoD
Review Boards
Change Approvals
RBACApprovalsReviews

Evidence + Audit Trails

Traceability

Decision logs, lineage, review artifacts, and reproducible runs—organized as an evidence pipeline for audits.

Decision Logs
Lineage + Provenance
Exportable Evidence
LogsLineageEvidence

Monitoring + Incidents

Ops Readiness

Production AI needs signals and playbooks: drift alerts, safety flags, incident triage, and retraining triggers.

Drift + Safety Alerts
Incident Runbooks
Retraining Triggers
AlertsRunbooksTriggers
/// Governance Accelerator

Move Fast.
Prove Control.

We deploy the Coretus Governance Kernel™—a pre-hardened foundation for policies, controls, approvals, and audit evidence.

Your teams focus on delivery impact and product outcomes, not reinventing governance.

4-8 Wk

Audit Readiness Saved

1 Model

Unified Control Plane

Built for policy enforcement, evidence capture, and incident readiness.
Kernel Hardened

Your AI Reality

GenAI • ML • Data • Risk • Ops

Coretus Governance Kernel v1.0

Policy

  • Controls
  • Owners

Approvals

  • RBAC
  • Boards

Evidence

  • Logs
  • Lineage

Ops

  • Alerts
  • Runbooks
/// Pre-Configured Governance Pods

Deploy AI Governance Delivery Squads.

Integrated units specialized in policy, controls, risk validation, and auditability—so you scale AI safely without slowing down.

Governance Lead

Defines AI operating model, policy-to-control mapping, and governance lanes aligned to delivery velocity.

Operating ModelControlsBoards

Controls Engineer

Implements approvals, RBAC, change control, and enforceable gates inside your delivery workflow.

RBACApprovalsGates
≤48h
Evidence Retrieval Target
Controls + Evidence Included

Pods arrive with policy templates, control mapping, approval flows, and an evidence pipeline—built-in from day one.

Audit & Evidence Engineer

Builds decision logs, lineage, attestations, and exportable proofs aligned to your audit requirements.

LineageLogsEvidence Store

Risk Ops Lead

Monitoring, incident response, control exceptions, and retraining triggers—so AI stays safe over time.

AlertsRunbooksExceptions
/// Architectural Integrity

The Governance Blueprint.

Governance is a pipeline: classify, control, approve, observe, and audit—built to survive organizational change.

01. Inventory & Risk Tiering

Catalog use cases, tier risk, define ownership, and set decision rights.

Tech Stack:
InventoryRisk TiersRACI

02. Policy → Controls

Convert principles into enforceable controls, gates, and review requirements.

Tech Stack:
ControlsGatesApprovals

03. Evidence + Audit

Capture decision logs, lineage, attestations, and proofs aligned to audits.

Tech Stack:
LogsLineageEvidence
Audit-Ready

04. Observe + Respond

Monitor drift and safety signals, manage exceptions, and run incident playbooks.

Tech Stack:
AlertsRunbooksExceptions
Controlled Delivery
Policy Gates
Audit Evidence
/// Delivery Framework

The Road to AI Trust.

A phased model that prevents policy theater: scope, controls, automation, then operate.

Phase 01

Governance Audit + Scoping

Inventory AI use cases, define risk tiers, ownership, and decision rights.

Output: Governance Baseline Blueprint
Phase 02

Policy → Controls Design

Build controls library, gate definitions, review boards, and approval workflows.

Output: Executable Controls Framework
Phase 03

Implement + Evidence Pipeline

Ship decision logs, lineage, attestations, and exportable evidence aligned to audits.

Output: Audit-Ready Evidence System
Phase 04

Operate, Improve, Scale

Add monitoring, incident playbooks, exceptions management, and continuous governance refinement.

Output: Sustainable AI Trust
/// Governance Outcomes

Proven Trust Outcomes.

Governance Case Archives
4wk
Audit Readiness

Governance for
Regulated GenAI Rollout

Teams shipped pilots with no approvals, inconsistent access controls, and missing evidence.

Implemented policy gates, approvals, and an evidence pipeline for audit queries.

"We moved faster once governance became a system—not a document. Audits stopped being panic-driven."

GL
Governance Lead
Financial Services
3.0x
Faster Approvals

Model Risk Controls for
Enterprise ML

Reviews were manual and inconsistent across teams and regions.

Deployed tiered controls, standardized evidence, and approval workflows aligned to risk.

"Approvals became predictable. We could see what was required, who owned it, and where evidence lived."

MR
Model Risk Manager
Enterprise Ops
/// Delivery Models

Governance Partnership Models.

Choose the engagement aligned with your delivery velocity, risk profile, and accountability requirements.

/// Trust & Controls

Governed
AI Delivery.

Enterprise AI must balance speed with risk control. We embed governance, auditability, and operational guardrails so AI remains trustworthy in production.

Controls + Review Gates

Policy mapped to enforceable checks and approvals—so risk is managed by design.

Access + Change Control

RBAC, segregation of duties, and change approvals for regulated delivery.

Audit Trails + Evidence

Decision logs, lineage, attestations, and exportable proofs—ready when auditors ask.

Evidence

Exportable Proofs

Controls

Policy Gates

HITL

Review Boards

Monitoring

Drift + Incidents

/// Governance Briefing

See the Governance System.

A 100-second breakdown of policy-to-control mapping, approvals, audit trails, and evidence capture.

Coretus AI Strategy & Governance Briefing
Governance Lead
Principal Advisor
AI Governance Lead
01:40 • CONTROL MODE

Policy

Controls + review gates.

Approvals

RBAC + workflows.

Evidence

Audit trails + lineage.

/// Governance FAQs

Frequently Asked
Governance Specs.

Service Identity
AI Strategy & Governance

Policy-to-Control Mapping?

Yes. We translate policies into enforceable controls, gates, and approvals integrated into delivery.

Access Controls + Approvals?

RBAC, segregation of duties, and review workflows are built-in and aligned to risk tiers.

Audit Trails + Evidence?

Decision logs, lineage, and attestations are captured as an evidence pipeline—exportable anytime.

Monitoring + Incident Response?

We implement drift and safety signals plus incident playbooks and exception handling.

GenAI Governance Included?

Yes. We cover prompt/agent workflows, sensitive data handling, and human review gates where needed.

Governance Baseline Audit?

We can deliver a fast baseline audit to inventory use cases, risk tiers, and immediate control gaps.

Request Governance Briefing

Control Your AI Risk.

Stop shipping AI without guardrails. We build enterprise governance—strategy, policies, risk controls, and auditability—so you can scale AI with confidence, reduce regulatory exposure, and keep 100% ownership of your operating model.

AI Policy + Control Framework

Audit Trails + Accountability

100% Operating Model Ownership