KQ Alignment
KQ Alignment

AI Governance Operations

Do you know what AI is running, what data it touches, who owns it, and how it is controlled?

KQ Alignment identifies the gaps and puts the right governance, controls, and accountability in place.

Schedule a Strategy Call

AI Governance Posture Check

Answer 4 questions to uncover potential gaps in AI visibility, ownership, data exposure, and controls.

THE RISK

The AI you cannot see is the AI you cannot govern.

Embedded AI can be activated inside tools your organization already uses, often before ownership, data exposure, approval paths, cost, and controls are fully understood.

  • Sensitive data can be processed by AI features that were never formally reviewed.
  • Duplicate AI capabilities can increase spend while creating inconsistent controls and ownership.
  • Security, privacy, contractual, policy, and regulatory obligations can still apply even when AI specific rules are evolving.

KQ Alignment helps organizations identify where AI is operating, what data it can touch, who owns it, and what guardrails are in place. We translate security, risk, policy, and regulatory requirements into practical approvals, controls, evidence, oversight, and accountability.

FragmentationAlignment

Enterprise experience

Backed by 20+ years inside complex enterprise environments.

KQ Alignment brings 20+ years of experience across technology risk, cybersecurity, audit, cloud security, AI governance, control design, and enterprise transformation.

That experience was built in roles within leading organizations such as AWS, Verizon, Morgan Stanley, and KPMG. These are the environments where the experience was earned, not KQ Alignment clients, endorsements, or case studies.

Enterprise Risk Perspective

Connect AI, technology, data, vendors, controls, and business operations across the enterprise.

Control Design & Implementation

Translate security, risk, policy, and regulatory requirements into practical approvals, workflows, evidence, and accountability.

Operational Transformation

Turn fragmented governance and operating processes into repeatable ways of working.

What we do

AI Governance Operations

Know what AI you have. Know what it can touch. Know who owns it. Know how it is controlled.

  1. 01

    Establish

    Build the AI estate and control baseline.

  2. 02

    Operationalize

    Define ownership, approvals, oversight, vendor controls, escalation, and evidence.

  3. 03

    Implement

    Turn findings into working processes, controls, workflows, and remediation.

  4. 04

    Maintain

    Keep inventory, controls, exceptions, and evidence current through regular reviews.

What We Review

AI assetsDataOwnersControlsEvidence
  • AI and embedded AI inventory
  • Business ownership
  • Data exposure and flows
  • Access and permissions
  • Vendor and third party AI risk, controls, and change review
  • Human oversight and approvals
  • Control design and evidence
  • Technology duplication and cost exposure
  • Exceptions and remediation
  • Review cadence and accountability

Leadership

Who This Is For

The leaders accountable for AI visibility, risk, vendor oversight, controls, and transformation.

  • Visibility and technology ownership

    CIO / CTO / Transformation leaders

    Accountable for knowing where AI operates and who owns it.

  • Risk, security, and assurance

    CISO / Chief Risk Officer / Internal Audit / Compliance / Privacy

    Accountable for control design, data exposure, and evidence.

  • Vendor and third party oversight

    Procurement / Vendor Management

    Accountable for vendor AI risk, contract terms, and change review.

  • Clear visibility across AI assets, ownership, data exposure, vendors, and controls.

  • Stronger accountability through defined approvals, evidence, escalation, and review cycles.

  • Structured remediation that converts assessment findings into accountable operating processes and measurable action.

Engagement

What a KQ Engagement Delivers

A scoped AI Estate and Control Baseline that gives leadership a current view of priority AI use, ownership, data exposure, vendor risk, control gaps, and remediation priorities.

  • Executive AI Governance Brief
  • AI Asset and Control Register
  • Ownership and Approval Model
  • Vendor AI Risk and Change Review
  • Priority Control Gaps
  • 90 Day Remediation Roadmap
  • Recommended Governance Review Cadence

Scope is agreed before the engagement begins. Coverage reflects the agreed scope and priority areas, not exhaustive discovery of every AI asset.

Next step

Bring us the AI governance problem you need to solve.

We will help you identify the risk, define the right scope, and determine the most practical path forward.

Schedule a Strategy Call