We put the policies, controls, and evidence in place so your AI passes an audit, satisfies your board, and keeps running inside the rules.
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NIST AI RMF
ISO 42001
GDPR
HIPAA
SOC 2
01
What we build
As AI moves into real decisions, governance is what keeps it defensible. We build the policies, controls, and evidence that satisfy regulators and your own risk team.
We stand up governance aligned to NIST AI RMF, ISO 42001, and the EU AI Act.
NIST AI RMF
ISO 42001
EU AI Act
A live inventory of models with the controls and approvals each one requires.
inventory
controls
approvals
Ongoing checks on bias, drift, and misuse, with evidence ready for audit.
bias
drift
audit trail
Usage policy and training so teams adopt AI inside the guardrails, not around them.
policy
training
enablement
first
Set the framework
Who can use which models, what data they can touch, and how decisions get logged.
then
Policies and controls
AI policies your teams will follow, with technical controls behind them.
Throughout
Evidence trail
Every model gets a record, so an audit becomes a file, not a scramble.
02
Governance Scope
Governance is the difference between an AI program your legal and risk teams can defend and one they quietly block. We build the framework: who can use which models, what data they can touch, how decisions get logged, and how you prove all of it later. The work maps to the NIST AI Risk Management Framework, ISO 42001, and the EU AI Act, so you are building against recognized standards rather than inventing your own.
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03
Compliance-Ready
We work with healthcare, financial services, energy, and government, where an AI mistake is a compliance event, not just a bug. Governance is built into how the AI is deployed, not added after an incident. Around one in five enterprises has already had a serious problem from AI, and the ones who avoided it governed first.
A compliance event
In regulated industries, an AI mistake is a compliance event, not just a bug.
Govern first
One in five enterprises has already had a serious AI problem; the ones who avoided it governed first.
Governance is the difference between an AI program your teams can defend and one they quietly block.
FRAMEWORK CONTROLS
ON SHIP
NIST AI RMF
AI risk management framework
ISO 42001
AI management system standard
GDPR
EU data protection
HIPAA
Protected health information
SOC 2
Trust services criteria
04
How we deliver
One team owns governance end to end, so AI oversight is built in from the start, not bolted on after a finding.
01
Risk thesis
We start with the risk thesis: where AI touches real decisions and regulation.
02
Design framework
We design the governance framework and controls aligned to NIST AI RMF and ISO 42001.
03
Build controls
We build the model inventory, controls, and audit trail into how teams ship AI.
04
Enable teams
We train your teams to adopt AI inside the guardrails, not around them.
05
Monitor & audit
We stay on to monitor bias, drift, and misuse and keep evidence audit-ready.
One team, end to end.
Strategy, build, and support under a single owner.
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05
INDUSTRIES
Financial
Auditable, resilient, compliant platforms.
Healthcare
HIPAA-bound, patient-data-first systems.
Enterprise
Modernization and security at scale.
Government & Defense
Mission-ready, CMMC-compliant systems for agencies and contractors.
06
FAQ
Questions buyers ask before a build
ON CALL
Have a different question?
We’re always on call to help you and provide the answer.
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Build it once, build it to pass audits.
Tell us what you are building, what you are modernizing, or what you inherited. We will scope the work and the security model in the same conversation.
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