AI Governance · U.S. Mid-Market · 2026

Structural AI Governance.
Not a feature you
add later.

Most U.S. mid-market companies are running AI. Almost none are governing it. We change that — with precisely scoped services that turn AI risk into resilience.

NIST AI RMF ISO/IEC 42001 EU AI Act It is the architecture you start with.
04
Precision services
S1 · S2 · S3 · S4 — independent or combined
NIST
AI RMF aligned
The de facto reference standard
42001
ISO/IEC readiness
Audit-ready pathway
2–20 wks
Engagement range
Scoped transparently up-front
The governance gap

Why AI governance fails at the mid-market level.

The risks are real. The gap is structural. Most mid-market AI programs fail before they start — because they were never built to govern AI at scale. Five patterns we see, repeatedly.

01

No inventory.
No visibility.

Vendors embed AI. Teams build models. Cloud tools silently add it. Nobody has the full picture of what's running, where, or what decisions it's making.

02

Accountability gaps at every level.

When AI makes a wrong call — in hiring, lending, pricing, or care — who is responsible? Without RACI, roles, and escalation paths, the answer is: nobody.

03

Regulators and auditors are arriving.

The NIST AI RMF, ISO/IEC 42001, and the EU AI Act are reshaping procurement, contracting, and regulatory expectation. Most mid-market companies are not ready.

04

Governance lives in spreadsheets.

Ad hoc policy, undocumented controls, no monitoring cadence. When the auditor asks for evidence, you cannot produce it. When risk materialises, there is no playbook.

05

Enterprise clients are asking for proof.

RFPs now include AI governance clauses. Procurement teams require evidence packs. Without documented, auditable AI governance, you cannot win the contract.

Four services. One path.

Governance, precisely scoped.

Each service works independently. Combined, they form a complete AI governance program — from first inventory to audit-ready certification and AI-ready modernization.

Service 012–4 wks
S1

AI Risk Assessment

See what you're running. Know what it could cost you. Full AI system inventory, plain-language risk register, NIST AI RMF mapping, and a board-ready executive summary.

  • Complete AI system inventory across all business units
  • Risk register ranked by likelihood and severity
  • Prioritized remediation roadmap
  • Board-ready executive summary
  • NIST AI RMF alignment mapping
2–4 weeksExplore →
Service 02 · Featured4–8 wks
S2

Governance Framework Setup

Install the infrastructure. Define who owns what. AI governance policy suite, RACI matrix, lifecycle controls, and dual-standard alignment to NIST AI RMF and ISO/IEC 42001.

  • Sector-specific AI governance policy suite
  • RACI matrix and escalation paths
  • AI lifecycle controls — procurement to decommission
  • Monitoring cadence and reporting templates
  • Alignment to NIST AI RMF and/or ISO/IEC 42001
4–8 weeksExplore →
Service 034–10 wks
S3

AI Standards Readiness

Close every gap. Walk into the audit ready. KneuraLens™ readiness assessment, gap register, closure roadmap, and audit-ready evidence packs for ISO/IEC 42001 and NIST AI RMF.

  • KneuraLens™ readiness assessment
  • Complete gap register with ownership assigned
  • Prioritized gap-closure roadmap
  • Audit-ready policies and evidence packs
  • ISO/IEC 42001 & NIST AI RMF alignment
4–10 weeksExplore →
Service 046–16 wks
S4

IT Modernization

Re-platform legacy systems for an AI-ready operating model. Architecture review, cloud & data foundation, integration patterns, and a phased modernization roadmap that retires risk without halting the business.

  • Legacy system & tech-debt assessment
  • Target architecture & cloud-data foundation
  • AI-ready integration & identity patterns
  • Phased migration & decommission plan
  • Build-vs-buy & vendor evaluation
6–16 weeksExplore →
Not sure where to start?

A 30-minute
discovery call is all
it takes.

Scoped to your AI systems and timeline. You walk away with a clear, reasoned estimate — whether or not you engage.