Build accountability
into everyday AI.
Governance built into delivery, and assurance that tests it.
Controls designed in, and tested by someone who did not build it.
AI governance & compliance
Policies, risk, and regulatory readiness.
A governance framework your organization can run.
A working framework, not a binder.
- Policy library and risk register
- Controls mapped to your obligations
- Oversight roles: who acts, who approves
Accountability at every decision.
- Policies
Define what is allowed
- Checks
Evaluate before acting
- Approvals
Route to the accountable person
- Evidence
Record what happened and why
Controls are reused across routines and agents.
- Policy + evidence
- Automated check
- Human authority
Who acts, who approves, who owns the outcome.
Reusable checks and records, built into the workflow.
Measure: approval and evidence preparation timeAI security & assurance
Testing, evaluations, and AI security.
Find the weaknesses before someone else does.
Red teaming, security review, and evaluations, with a remediation plan.
- Adversarial testing of agents and routines
- Prompt-injection and leakage testing
- Evaluation report with priorities
Four lenses on every AI system.
- Evaluations
Model and agent behaviour
- Security review
Access, tools and data paths
- Red teaming
Adversarial testing
- Evidence
Findings and remediation
Assurance stays independent from delivery.
Independent testing finds weaknesses and assigns owners.
Measure: issues caught before releaseRules we work by
Assurance stays independent.
Separate from delivery
Safeguards apply when we assess systems we built.
No implied certification
We reference ISO/IEC 42001 and NIST AI RMF. We do not imply certification or guaranteed compliance.
Evidence, not assertions
Every finding says how to fix it.
Questions
Common questions.
Can you assess a system another vendor built?
Yes. Services are vendor-neutral, and assurance work does not require the Amplent Platform.
How does this connect to the platform?
When the platform is in use, policies and checks live in Governance & policies and run every time. The service designs them; the platform enforces them.
How long does a governance foundation take?
A typical AI Governance Foundation runs three to six weeks: inventory, policies, risk classification, accountability, and readiness. Scope is confirmed before any date is.
Design controls
into delivery.
Tell us what you run, or plan to, and we will propose the work.
Get started