enterprise ai
your board can defend.
An independent practice for Fortune 500 organizations deploying agentic AI in regulated environments. Every system delivered with audit evidence, regulatory documentation, and board-ready assurance.
most enterprise ai never reaches production.
Not because the technology fails. Because the governance, evidence, and independent oversight expected at enterprise scale are missing from day one.
compliance becomes the blocker
Models sit in risk and legal review for quarters, not weeks — because the artifacts those committees require were never produced.
opaque systems fail internal audit
Internal audit and model risk teams need explainability, reproducible evaluations, and complete lineage. Most enterprise AI programs cannot produce them.
third-party risk moves onto your balance sheet
Enterprise AI vendors rarely disclose training data, evaluation methodology, or adversarial performance. That risk transfers to you at deployment.
governance before the first model
runs in production.
readiness
Portfolio review, model risk baseline, governance gap assessment aligned to NIST AI RMF, SR 11-7, and the EU AI Act.
deliver
Agentic systems built with evaluation harnesses, human oversight models, and incident response from the first iteration.
govern
Policy frameworks, model inventories, monitoring infrastructure, third-party oversight, board reporting.
assure
Independent assurance: evidence for internal audit, attestation materials, and supervisory response packages.
a tri-part practice.
agentic AI &
enterprise automation
Production agentic systems with evaluation, oversight, and audit lineage by default. Customer operations, compliance automation, claims intelligence, document and contract processing.
AI governance &
independent assurance
Policy frameworks, third-party oversight, model inventories, and independent audit. Program-level governance for the enterprise AI portfolio.
enterprise
AI strategy
Portfolio prioritization, executive alignment, and investment cases — grounded in regulatory reality, positioned for boards and operating committees.
three shapes
of engagement.
Designed for how Fortune 500 organizations actually buy AI work — with clarity on scope, governance, and board-level accountability.
conversation.
A working session on your AI portfolio, governance posture, and regulatory exposure.
- —Portfolio review against peer benchmark
- —Governance posture diagnostic
- —Regulatory exposure map
- —Written summary within 72 hours
system, governed.
One production agentic system, delivered with full governance artifacts and independent evaluation.
- —Discovery, design, and risk register
- —Build, evaluate, and shadow-mode validation
- —Governance pack & model card
- —Independent assurance opinion
record.
Dedicated teams, governance infrastructure, continuous independent assurance, and board reporting.
- —Embedded delivery and assurance teams
- —Model inventory & risk telemetry
- —Quarterly independent audits
- —Board & regulator reporting cadence
a global bank moved an agentic AML portfolio through independent assurance.
Transaction-monitoring backlogs were running at nine figures in at-risk exposure. Internal audit would not sign off on the existing third-party model. We delivered a governed agentic system with full model documentation under SR 11-7 and NIST AI RMF.
read the anonymised casewe had four AI vendors in pilot for eighteen months and nothing operating in production. axys brought a governed system through model risk in a single quarter — with documentation our regulators and internal audit could actually work with.
frameworks for boards and risk committees.
The Enterprise AI Governance Benchmark
How Fortune 500 organizations are operationalizing NIST AI RMF, SR 11-7, and the EU AI Act.
Independent assurance for agentic systems
A practical model for third-line oversight of agentic AI — scope, evidence, and attestation patterns.
What your regulator is actually reading
A plain-language guide to the supervisory guidance shaping AI risk conversations in financial services, insurance, and healthcare.
how does a Fortune 500 engagement actually start?
Almost always with an Executive Briefing — a structured working session with practice leadership on your AI portfolio, governance posture, and regulatory exposure. It ends with a written summary your risk committee can work from, and a clear recommendation on whether a Pilot Program or Enterprise Partnership is the right next step.
how is this different from our existing consulting partners?
We are narrow by design. Agentic AI, governance, and independent assurance in regulated environments — that is the practice. Engagements are led by senior practitioners, not staffed off a bench. Every deliverable is designed to be defensible to internal audit, model risk, and regulators on day one, not during a remediation cycle.
what frameworks do you align to?
NIST AI Risk Management Framework, SR 11-7 model risk guidance, the EU AI Act, ISO/IEC 42001, and the relevant sectoral regulators across financial services, insurance, and healthcare. Engagements map to the frameworks your organization is already governed under — we do not introduce a bespoke methodology that your audit function then has to reconcile.
can you work inside our security and procurement environment?
Yes. We are routinely onboarded through enterprise procurement, third-party risk management, and information security review. We work within your SSO, data residency, model hosting, and privileged access constraints — and we expect to. Where required, engagements run inside your cloud tenancy and against your existing model infrastructure.
who owns the governance artifacts when an engagement ends?
You do — unconditionally. Model cards, risk registers, evaluation harnesses, monitoring pipelines, and policy frameworks are handed over in machine-readable form, in the formats your internal audit and model risk functions already operate. We do not retain custody, and we do not license our frameworks back to you.
where does the practice operate?
Globally, from offices in Port of Spain, New York, and London, with senior delivery coverage across the Americas and Europe. We have deep regional depth in the Caribbean — particularly Trinidad and Tobago, where the practice is headquartered — and run global engagements for financial services, insurance, and healthcare organizations.
enterprise ai
your board can defend.
A structured conversation with practice leadership — and a written summary your risk committee can work from.