AI governance readiness

You’re using AI. Can you prove it’s governed?

We help growing companies find AI governance gaps, understand their risk, and build the controls and evidence needed to demonstrate responsible AI use.

Assess your AI readiness ↗ See what you receive
NIST AI RMF aligned ISO/IEC 42001 readiness Practical remediation
Readiness assessment
AI Governance Profile
SB / 024
62
Developing foundationsPriority gaps require action
GovernanceDefined
AI inventoryGap
Vendor riskDeveloping
DocumentationGap
Human oversightDeveloping
3critical gaps
8priority actions
90day roadmap
The governance gap

Basic questions shouldn’t require archaeology.

When a customer, auditor, board member, insurer, or regulator asks how your AI is governed, you need answers backed by evidence—not scattered spreadsheets and institutional memory.

01

What AI are we using?

Including employee tools, product features, embedded services, models, and third-party vendors.

02

Who is accountable?

Every use case needs a named owner, a clear approval path, and defined human oversight.

03

What data is exposed?

Know where customer, company, and sensitive information flows through AI systems.

04

Which uses create risk?

Classify AI based on impact, context, autonomy, and the people or decisions it affects.

05

Are vendors reviewed?

Evaluate providers, model dependencies, contractual terms, controls, and change risks.

06

Can we prove it?

Retain the policies, assessments, approvals, tests, monitoring, and incident records that matter.

Flagship engagement

AI Governance Readiness Assessment

A focused review of how your organization uses, manages, and documents AI—ending with a practical plan, not a theoretical report.

2–3weeks
7core deliverables
90day roadmap
Start your assessment ↗
View a sample readiness report ↓
✓
AI system & use-case inventoryA structured record of tools, models, vendors, data, owners, and business uses.
✓
Governance gap assessmentReview of policies, accountability, approvals, oversight, monitoring, and training.
✓
AI risk registerMaterial risks identified, classified, prioritized, and assigned.
✓
Framework mappingRelevant requirements mapped to NIST AI RMF and ISO/IEC 42001.
✓
Policy & documentation reviewExisting governance artifacts tested for practical coverage and clarity.
✓
Prioritized remediation roadmapWhat to address now, what can wait, and what evidence to create.
✓
Executive readoutA clear briefing on readiness, major risks, and recommended next steps.
What we assess

One practical view of your AI risk.

Our methodology connects the people, systems, data, controls, and evidence that determine whether governance works in practice.

Governance

Ownership, policies, approvals, roles, training, and oversight.

Systems

Models, tools, vendors, use cases, dependencies, and lifecycle.

Data

Sensitive inputs, access, retention, flows, sources, and outputs.

Risk

Reliability, privacy, bias, transparency, security, and impact.

Evidence

Assessments, testing, approvals, monitoring, incidents, and records.

Framework-aligned

Standards translated into operating controls.

We use recognized frameworks as reference points, then turn them into governance your team can actually run. One control can support multiple requirements—without creating a separate program for every acronym.

SmartBuzz AI provides governance and readiness advisory services. Legal conclusions should be made with qualified legal counsel. Certification is performed by independent accredited certification bodies.
Internal control
NIST AI RMF
ISO 42001
Evidence
AI use-case inventory
MAP 1.6
A.4.2
System register
Risk ownership
GOV 2.3
Clause 5.3
RACI + approvals
Impact assessment
MAP 5.1
Clause 8.4
Assessment record
Human oversight
MANAGE 2.4
A.9.3
Review procedure
Performance monitoring
MEASURE 2.6
Clause 9.1
Test + monitoring log
A clear path forward

Assess. Remediate. Maintain.

Start with clarity. Build only what you need. Keep governance useful as your systems and obligations change.

Assess

Inventory AI, review current controls, identify material risks, and document the gaps.

Remediate

Build the policies, workflows, registers, assessments, and evidence that close priority gaps.

Maintain

Review new uses and vendors, update documentation, and keep readiness current over time.

Why SmartBuzz

Governance grounded in how AI actually works.

Policy templates are not enough. Our technical background helps us evaluate what your documents say—and how AI is actually designed, connected, and used.

Model APIs & vendorsRAG & data pipelinesAgent workflowsEvaluation & loggingHuman-in-the-loopProduction architecture
Experience
User interaction · disclosures · human review
Application
AI feature · workflow · decision logic · monitoring
Model
Provider · version · evaluations · limitations
Data
Sources · retrieval · prompts · outputs · retention
Evidence
Inventory · risk record · approval · testing · logs
Know where you stand

Be ready before someone else asks.

Know what you use. Know your risk. Know what to fix.

Assess your AI readiness ↗