Build the Operational Backbone for the AI Act
The EU AI Act asks for AI inventories, risk management, human oversight, and record-keeping. Get ready by putting the operational backbone in place - inventory, oversight on consequential actions, and tamper-evident logs.
Why this is hard
The AI Act is a lot to absorb, but much of what it asks for is operational: know what AI you run, manage its risk, keep a human meaningfully in the loop on higher-risk AI, and keep records. Legal teams determine which obligations apply; the practical work is standing up the capabilities that make those obligations real rather than aspirational.
- You cannot manage the risk of AI you have not inventoried
- Human oversight has to be enforced, not just stated
- Record-keeping is hard to retrofit if logging was an afterthought
- Obligations vary by system, so the operational backbone must be flexible
The approach, step by step
From AI Act text to operational readiness
- 1
Inventory your AI
Build an AI-BOM cataloging the models, agents, MCP servers, and dependencies your AI runs on.
- 2
Manage risk per action
Score each AI action for risk with explainable factors, and red-team the systems to surface failure modes.
- 3
Enforce human oversight
Hold consequential AI actions for step-up or human review rather than executing them autonomously, and surface the riskiest to a person.
- 4
Log everything
Record every governed AI action to a tamper-evident, reproducible ledger with the actor, decision, and factors.
- 5
Work with legal on scope
Have legal and compliance determine which obligations apply to which systems; the capabilities support them but do not certify conformity.
How SentriAI does the work
SentriAI provides the operational backbone: the AI-BOM inventories your AI, per-action scoring and red-teaming support risk management, step-up and human-review verdicts deliver oversight, and the tamper-evident ledger handles record-keeping. This supports AI Act obligations but is not legal advice or a conformity certification.
What you get out of the box
- An AI-BOM for the AI system inventory
- Per-action risk scoring and red-team testing
- Human oversight enforced on consequential actions
- Tamper-evident record-keeping as a byproduct of governing
Avoid the common pitfall
Frequently asked questions
How do I get ready for the EU AI Act?
Build the operational backbone: inventory your AI with an AI-BOM, manage risk with per-action scoring and red-teaming, enforce human oversight by holding consequential actions for review, and keep tamper-evident records - while legal determines which obligations apply.
How is human oversight enforced?
As a default posture: consequential AI actions are held for step-up or human review rather than executed autonomously, and the riskiest decisions are surfaced to a person, so oversight is an enforced verdict rather than a stated intention.
Does SentriAI certify AI Act conformity?
No. It provides operational capabilities that support AI Act obligations and produces the evidence they call for, but it is not legal advice and does not certify conformity. Your legal and compliance teams determine which obligations apply.
How does it handle record-keeping?
Every governed AI action is recorded to a tamper-evident, reproducible ledger with the actor, decision, and factors, so logging happens as a byproduct of governing the action rather than as a separate task.
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