Your AI pilot works.
Is your business ready to let it act?
Practice the decisions that matter before an agent can change financial records, touch customer data or affect critical operations. Know what to request, what approval really means and who owns the remaining risk.
Self-guided learning. About 20 minutes. No account or AI system connection needed.
Four questions.
Four different kinds of proof.
A security finding is not a deployment approval. An approved operation is not automatically protected at runtime. And neither removes the need for an accountable decision about residual business risk.
Take the seat of the accountable executive.
Each scenario represents a fictional enterprise decision. Read the qualified facts, choose four responses and see the evidence boundary behind the recommended answer.
Full workshop: all three cases and twelve decisions, with an exportable memo.
Choose a tile to inspect what this educational case establishes.
These are authored teaching facts, not actual HAIEC customer findings.
Facilitator prompt: Ask the group what single authoritative source could change its conclusion, then name the person who owns that source.
What changes when the evidence changes?
A new log, an approved policy or a blocked request changes only the claims it can genuinely support. It must not turn unrelated unknowns into established facts.
Four proportionate executive responses.
A decision should address the consequential operation and the strength of its proof, not simply declare the entire AI system safe or unusable.
These are training recommendations and commercial decision pathways, not HAIEC's canonical assurance states or a substitute for the customer's formal approval process.
Evidence should persuade without exaggerating.
HAIEC's public Kestrel sample demonstrates what can be established from a qualified repository analysis, and what cannot yet be concluded without independent policy, access and operational evidence.
Frozen public source example. This does not mean 44 incidents, vulnerabilities, completed mutations or customer deployment approvals.
Examine the actual report ↗Source-backed paths to consequential operations, within the evaluated code snapshot.
Policy or delegated choice cannot be inferred from reachable code.
Actual principal grants require qualified permission evidence.
The report does not establish that any described target mutation took place.
Public sample details are source-referenced. Workshop cases are deliberately fictional. A valid report or verification receipt does not by itself certify safety, current protection or a human deployment decision.
Turn judgment into a decision record.
Capture one scoped operation, the source-limited facts, the response, accountable owners, permitted and prohibited actions, and the evidence required before expansion. Your inputs stay in this browser session.
This is an unsigned educational draft. A downloaded brief is not a HAIEC Decision Receipt, real deployment approval, independent audit opinion or proof that controls operated.
Executive AI Deployment Decision Brief
One consequential system. One accountable decision.
HAIEC can help bound the source-backed action paths, qualify available evidence, document missing proof and support an enterprise review of what comes next.
Which sources do we need?
Use the Integration & Evidence Field Guide to select source, policy, permission, telemetry and target-side witnesses.
Explore HAIEC agent integration ↗What does the actual report prove?
Inspect HAIEC's bounded findings, report identity, limitations and evidence gaps before using it for a business decision.
Read the public Kestrel sample ↗
EXECUTIVE DECISION LAB