Structural
AI Governance.
Built to Protect
What You've Built.
Most U.S. mid-market companies are running AI. Almost none are governing it. We change that — with three precisely scoped services that turn AI risk into resilience.
Safety isn't a feature you add later. It is the architecture you start with.
Why AI Governance Fails at the Mid-Market Level
The risks are real. The gap is structural. Most mid-market AI programmes fail before they start — because they were never built to govern AI at scale.
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.
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.
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.
Governance lives in spreadsheets.
Ad hoc policy, undocumented controls, no monitoring cadence. When the auditor asks for evidence, you cannot produce it. When a risk materialises, there is no playbook.
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.
Governance, Precisely Scoped.
Each service works independently. Combined, they form a complete AI governance programme — from first inventory to audit-ready certification.
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
- Prioritised remediation roadmap
- Board-ready executive summary
- NIST AI RMF alignment mapping
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 from procurement to decommission
- Monitoring cadence and reporting templates
- Alignment to NIST AI RMF and/or ISO/IEC 42001
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
- Prioritised gap-closure roadmap
- Audit-ready policies and evidence packs
- ISO/IEC 42001 and NIST AI RMF alignment
Not Sure Where to Start?
A 30-minute discovery call is all it takes to get a clear, reasoned estimate — scoped to your AI systems and timeline.
Governance Services,
Precisely Scoped.
Risk assessment → framework setup → standards readiness → ongoing sustain. Every service works independently. Combined, they form a complete AI governance programme — from first inventory to audit-ready certification.
Where Does Your Company Stand?
Select every statement that applies. We will tell you exactly where to start.
We cannot name every AI system we run
Vendors embed AI, teams build models — nobody has the full picture.
If something went wrong, nobody knows who is accountable
No defined ownership, no escalation path, no governance structure.
Regulators or auditors are asking about our AI
NIST AI RMF, EU AI Act, or ISO 42001 compliance is now on the table.
Our governance lives in email threads and spreadsheets
No formal policy set, no AI lifecycle controls, no monitoring cadence.
Enterprise clients are asking for AI governance evidence
RFPs include AI governance clauses. We do not have an evidence pack.
We adopt new AI tools every quarter
No formal intake process, no way to assess each new system's risk.
Select your situation above to see your recommended starting point.
Four Services. One Path.
Standalone or bundled. Built around how your business runs.
- Full AI system inventory and risk profiles
- Plain-language risk register
- Risks ranked by likelihood and severity
- Prioritised remediation roadmap
- Board-ready executive summary
- NIST AI RMF alignment mapping
- Customised AI governance policy set
- Defined roles, responsibilities, escalation paths
- AI lifecycle controls: procurement to decommission
- Monitoring cadence and reporting templates
- Implementation support for your team
- NIST AI RMF and ISO/IEC 42001 alignment
- KneuraLens™ readiness assessment
- Complete gap register with ownership assigned
- Prioritised gap-closure roadmap
- Audit-ready policies and evidence packs
- Alignment to NIST, ISO/IEC 42001, UK AI Essentials
- Quarterly governance health reviews
- Policy updates as regulations change
- New AI system intake: up to 4 per quarter
- Annual KneuraLens™ reassessment
- Priority ad-hoc risk access
- Board-ready quarterly governance report
Configure Your Programme.
Mix and match services. See your timeline update in real time. Bundle discounts are automatically applied.
Select services to include
S1 · AI Risk Assessment
2–4 weeks · See what you are running and the exposure
S2 · Governance Framework
4–8 weeks · Build the policies, roles, and controls
S3 · Standards Readiness
4–10 weeks · Prove you meet your target standard
S4 · Governance Retainer
Annual · Sustain governance as your AI evolves
Bundle discounts are automatically applied. Prices shown are indicative starting points based on 5–15 AI systems.
Your Sector. Your Requirements.
Regulatory exposure, AI risk profile, and governance requirements differ by sector. Our services are calibrated to the realities of each.
Healthcare
HIPAA · FDA AI/ML · Section 1557 · NIST AI RMF
- AI-assisted clinical decision support is a high-risk system under the EU AI Act
- Algorithm bias in patient prioritisation creates HIPAA and civil rights exposure
- Vendor AI embedded in EHR and billing platforms is routinely ungoverned
Our healthcare engagements are scoped around clinical AI risk, vendor contracts, and FDA Software as a Medical Device (SaMD) guidance.
NIST AI RMF
The primary voluntary framework for AI risk management in U.S. healthcare — now referenced by HHS and CMS procurement.
ISO/IEC 42001
The international standard for AI management systems — increasingly required in healthcare enterprise contracting and M&A due diligence.
Financial Services
ECOA · FCRA · SR 11-7 · OCC Model Risk · NIST AI RMF
- Credit decisioning AI carries ECOA and FCRA exposure if outcomes are disparate
- OCC model risk guidance (SR 11-7) applies to AI-driven models used in lending
- Fraud detection and AML systems require ongoing monitoring and bias audits
NIST AI RMF
Alignment to NIST AI RMF is now standard in FDIC, OCC, and Fed-supervised institution AI governance expectations.
ISO/IEC 42001
Enterprise banking and insurance clients require ISO/IEC 42001 evidence from technology vendors as a condition of procurement.
Professional Services
ABA Rules · Client Confidentiality · NIST AI RMF
- Legal AI tools carry ABA Rule 1.1 (competence) and 1.6 (confidentiality) implications
- Client data processed by GenAI tools is a confidentiality risk not yet addressed in most firms
- Enterprise clients increasingly require AI governance evidence from service providers in procurement
NIST AI RMF
The framework underpins AI governance structures for legal, accounting, and consulting firms serving regulated-industry clients.
ISO/IEC 42001
Used in enterprise RFPs to demonstrate that AI is governed, auditable, and aligned with international standards — particularly in BigLaw and Big Four adjacencies.
Technology
the EU AI Act · NIST AI RMF · ISO/IEC 42001 · SOC 2 AI
- Technology companies deploying high-risk AI in EU markets must comply with the EU AI Act
- Enterprise SaaS procurement now routinely includes AI governance questionnaires
- ISO/IEC 42001 certification is a differentiator in enterprise software contracting
the EU AI Act
Extraterritorial reach means U.S. technology companies serving EU markets, using EU data, or operating EU subsidiaries are within scope.
ISO/IEC 42001
The leading certification for AI management systems — a commercial differentiator in enterprise SaaS, and a prerequisite in many government technology contracts.
Estimate Your Exposure.
Adjust the inputs below to see a calibrated estimate of your regulatory and commercial risk exposure. This is a directional model, not a legal assessment.
This is a directional risk model for illustrative purposes, not legal or financial advice. Actual exposure depends on jurisdiction, regulatory circumstances, and specific AI system characteristics.
Get a proper scoped assessment →Not Sure Where to Start?
A 30-minute discovery call is all it takes to get a clear, reasoned estimate.
The KneuraLens™ Methodology.
A four-stage, evidence-first assessment framework. Where generic checklists produce generic outputs, KneuraLens™ produces a governance programme calibrated to your systems, your industry, and your target standard.
How We Work.
Every Kneuralabs engagement follows this sequence — from full AI inventory through audit-ready evidence production.
Full AI System Inventory
We conduct structured interviews across IT, legal, operations, HR, and business unit leads. We review procurement records, vendor contracts, SaaS subscriptions, and internal build logs. Every AI system — built, bought, or embedded — is surfaced and catalogued.
Risk Assessment and Scoring
Each AI system is assessed against five governance dimensions: accountability, transparency, risk controls, monitoring, and third-party oversight. Risks are scored by likelihood and severity. Nothing is assumed. Everything is evidenced.
Governance Framework Architecture
We design your governance infrastructure around how your business actually works — not a generic template. Policy suite, RACI matrix, lifecycle controls, and monitoring cadence are built to your sector, scale, and regulatory context.
Implementation and Handover
We install the governance programme with your team — not for them. Every deliverable is documented for operational continuity. Every process is designed for handover. We build capability, not dependency.
Standards Alignment and Audit Readiness
We assess your governance posture against your target standard — NIST AI RMF, ISO/IEC 42001, or the EU AI Act — identify every gap, and produce the evidence packs, documented controls, and audit-ready dossiers that certifying bodies require.
Four Stages. Every Gap Found. Every Gap Closed.
Our proprietary assessment framework works in four sequential stages — each building on the last — to produce a governance programme that is defensible, operational, and audit-ready.
Map every AI system
What We Map
- Built AI — internal models and data pipelines
- Bought AI — licensed SaaS tools with embedded AI
- Embedded AI — AI features inside CRMs, HR platforms, cloud providers
- Shadow AI — tools adopted by teams without procurement approval
How We Work
- Structured discovery interviews across departments
- Vendor contract and SaaS subscription review
- Technical environment scan
- Final inventory validated with your team
Evaluate governance maturity
What We Evaluate
- Governance maturity scored against your target standard
- Risk exposure by system — likelihood × severity
- Standards alignment gaps — NIST, ISO 42001, EU AI Act
- Third-party AI risk from vendors acting on your data
Our Scoring Model
- Weighted scoring built from 200+ mid-market engagements
- Gaps ranked by risk profile — not treated equally
- Industry-specific calibration — healthcare, finance, B2B
- Plain-language output your board can read
Build a prioritised roadmap
What We Build
- Prioritised remediation roadmap calibrated to your target standard
- Ownership assigned to every action item
- Quick wins separated from structural changes
- Timeline and resource estimates per workstream
How We Calibrate
- Maps to your selected standard — NIST, ISO 42001, UK AI Essentials
- Regulated industry requirements layered on top
- Validated against enterprise procurement requirements
- Board-ready executive summary included
Hand over audit-ready documentation
What You Receive
- Complete audit-ready documentation pack
- Clear ownership assigned to every document
- Evidence pack structured for your target standard
- One round of consolidated revisions included
What This Enables
- Regulatory review or audit preparedness
- Enterprise procurement questionnaire responses
- Board and investor briefing materials
- Foundation for ongoing retainer engagement (S4)
Frameworks We Work Within.
Every Kneuralabs engagement is aligned to the standards your regulators, clients, and certifying bodies use.
Ready to Start?
Every engagement begins with a 30-minute discovery call, scoped to your sector and AI systems.
From First Inventory to Audit-Ready. Here Is the Path.
A clear, sequenced programme that builds governance from the ground up — or closes the gaps in what you already have.
Discovery Call
30 minutes. No commitment. We scope the engagement, identify which services apply, and provide a transparent estimate. Most clients have everything they need to proceed after this call.
S1 · AI Risk Assessment
Full AI system inventory. Risk register. NIST AI RMF mapping. Board-ready executive summary. The governance foundation every subsequent programme builds on.
S2 · Governance Framework Setup
AI governance policy suite, RACI matrix, lifecycle controls, and monitoring cadence. Aligned to NIST AI RMF and/or ISO/IEC 42001. Built for your sector, your team, your workflows.
S3 · AI Standards Readiness
KneuraLens™ readiness assessment against your target standard. Gap register. Closure roadmap. Audit-ready evidence packs. ISO/IEC 42001 and NIST AI RMF alignment.
S4 · AI Governance Retainer
Run your governance programme independently as AI and regulation continues to evolve. Quarterly reviews, policy updates, new AI system intake, and an annual KneuraLens™ reassessment.
How Engagements Work.
On SOW execution and receipt of first payment. No delays, no onboarding overhead.
50/50 split — first instalment on signing, second on final deliverable. No surprise invoices.
One revision round per deliverable, included. Scope changes are priced separately, in advance.
Three-year mutual confidentiality post-engagement. All client information handled under our MSA.
Structural Thinking on AI Governance.
Perspectives from the Kneuralabs team on AI governance, regulatory developments, and the commercial case for structured AI risk management. Published on LinkedIn and mirrored here as they are published.
AI Governance: A Strategic Imperative for Modern Enterprises
Artificial intelligence is no longer a technology experiment — it is business infrastructure. For mid-market enterprises in the United States, the shift from AI as a competitive advantage to AI as an operational dependency has happened faster than governance structures have been able to follow. The result is a growing structural gap: organisations that are deeply reliant on AI systems that are not formally inventoried, not governed by documented controls, and not aligned with the regulatory standards that are now shaping procurement, contracting, and regulatory oversight.
AI governance is not a compliance checkbox. It is the structural layer that allows organisations to demonstrate accountability for the decisions their AI systems make — to regulators, to enterprise clients, and to the board. Organisations that treat AI governance as a project — something to be completed and filed — consistently find that their governance does not survive contact with real regulatory scrutiny or enterprise procurement requirements. Governance must be designed as infrastructure: monitored, maintained, and updated as AI systems and the regulatory environment evolve.
The NIST AI Risk Management Framework and ISO/IEC 42001 are not aspirational documents. They are the reference points that auditors, procurement teams, and regulators are now using to evaluate whether an organisation's AI programme is defensible. Organisations that delay alignment are not just behind on compliance — they are losing contracts to competitors who have already built the evidence pack that procurement teams are asking for.
New articles published on our LinkedIn page are reflected here automatically. Follow Kneuralabs on LinkedIn to receive them in your feed as they are published.
Structural AI Governance for the Companies Building America's Future.
Headquartered in Manchester, Connecticut, Kneuralabs LLC delivers AI governance advisory services built for the realities of the U.S. mid-market — companies with complex AI landscapes, limited governance infrastructure, and real regulatory exposure.
Every U.S. Mid-Market Business That Uses AI Deserves Governance That Is Clear, Defensible, and Built to Last.
Kneuralabs was built on a simple observation: AI governance has historically been the domain of large enterprises with dedicated compliance teams and seven-figure budgets. Mid-market companies — the backbone of the U.S. economy — are running the same AI risks with a fraction of the governance infrastructure.
We combine deep regulatory expertise in NIST AI RMF, ISO/IEC 42001, and the EU AI Act with a pragmatic, business-first approach to governance. We do not write policies that sit in drawers. We build governance programmes that run.
Every engagement is scoped with precision — no generic outputs, no wasted effort. We spend more time on scoping than most consultancies spend on delivery.
Plain language outputs. No jargon. No inflated complexity. AI governance should be understood by every person who owns a piece of it.
Governance built to withstand regulatory scrutiny and enterprise audit. Defensibility is not a feature. It is the baseline.
Governance your team can run independently, long after we leave. We build capability, not dependency.
Driving the Future of
Accountable AI.
Our leadership team brings together governance strategy, regulatory expertise, and operational execution — built specifically for the realities of the U.S. mid-market.
Piyal Gupta
A former AI risk leader with 15+ years building governance strategy for Fortune 500 companies, Piyal founded Kneuralabs on the conviction that structured AI governance should not be the exclusive domain of large enterprises. He leads every client engagement strategy and oversees the KneuraLens™ methodology development.
Piyali Dhar
Piyali drives operational excellence and regulatory alignment across every Kneuralabs engagement. She architects governance frameworks that integrate seamlessly with existing business workflows — ensuring that governance additions do not create operational friction. Her background spans financial services compliance and enterprise risk management.
Gautham Dhar
A trusted voice on AI ethics, policy, and international standards alignment, Gautham guides Kneuralabs' strategic direction and ensures our methodologies remain current with the rapidly evolving AI regulatory landscape. He brings deep expertise in cross-jurisdictional AI policy and enterprise technology governance.
Based in Connecticut.
Built for the U.S. Mid-Market.
Kneuralabs LLC is headquartered at Manchester, CT 06042. We serve mid-market companies across the United States, with particular depth in healthcare, financial services, professional services, and technology sectors.
All engagements are governed under Connecticut law, with disputes resolved through AAA arbitration in Hartford, Connecticut.
We're Building the Governance Layer for America's AI Economy.
We are looking for governance strategists, AI ethics specialists, regulatory policy experts, and client engagement leads who believe accountable AI is the foundation of trustworthy business. If that sounds like you, we want to hear from you.
Applications opening soon. Join the talent community to be notified first.
Express interest → hello@kneuralabs.comLet's Talk About Your AI Governance Programme.
A 30-minute discovery call is all it takes. No commitment, no sales pressure — just a clear, reasoned scoping of what your engagement would involve.
Address
Manchester, CT 06042
Response time
Within 1 business day. All enquiries go directly to a strategy lead.
Ready to Govern
Your AI? Let's Go.
Pick a service or bundle. We'll scope your engagement with transparent pricing, a clear timeline, and a team that builds governance around how your business actually works — not a generic template.
Three Entry Points. One Clear Path Forward.
AI Risk Assessment
The fastest path to governance visibility. We inventory every AI system you run, score the risks, and hand you a board-ready action plan in 2–4 weeks. Most clients start here.
Governance Framework Setup
Design and install the policies, roles, and controls that govern every AI decision in your organization. The infrastructure layer that makes ISO/IEC 42001 and NIST AI RMF alignment achievable.
Complete Governance Programme
The full Kneuralabs engagement — from first AI inventory through audit-ready certification readiness. The engagement for companies serious about AI leadership.
Not Sure Which Service Fits?
A 30-minute discovery call is all it takes to get a clear, reasoned estimate — scoped to your specific AI systems, sector, regulatory exposure, and timeline. No commitment, no sales pressure. Just clarity.
Schedule a discovery call →hello@kneuralabs.com · Manchester, CT 06042
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1. Who We Are
Kneuralabs LLC ("Kneuralabs", "we", "us", or "our") is a limited liability company incorporated under the laws of the State of Connecticut, with its principal place of business at Manchester, CT 06042. We provide AI governance advisory services to U.S. mid-market businesses.
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9. Contact
Kneuralabs LLC · Manchester, CT 06042 · hello@kneuralabs.com
Terms of Service
1. Acceptance of Terms
By accessing the Kneuralabs website, you accept these Terms of Service.
2. No Legal Advice
Website content is for informational purposes only. It does not constitute legal, regulatory, or compliance advice.
3. No Certification or Audit
Kneuralabs prepares clients for regulatory reviews and third-party audits. We do not conduct certification audits or issue certificates of conformance.
4. Intellectual Property
KneuraLens™ is a proprietary methodology owned by Kneuralabs LLC. All website content is the property of Kneuralabs LLC.
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These Terms are governed by Connecticut law. Disputes shall be subject to the exclusive jurisdiction of Hartford County courts, Connecticut.
6. Contact
Kneuralabs LLC · Manchester, CT 06042 · hello@kneuralabs.com