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See What Runtime AI Governance Looks Like

Every example below shows the same AI workflow running with and without AxonFlow. See exactly what gets blocked, redacted, and logged.

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Travel Booking with AI Governance

A trip planner powered by LLMs. AxonFlow enforces oversight on high-value transactions and redacts PII before it reaches the model.

A user books a €8,500 first-class flight from Auckland to Paris. Their passport number is included in the booking context.

Without AxonFlow
Passport number LA987654 sent to LLM in plaintext
Transaction processed immediately — no human review
No record of why the booking was approved
No oversight on high-value AI-assisted decisions
With AxonFlow
AxonFlow detects amount > €5,000 — flags for oversight
Passport number redacted before AI processing
Human approval required before transaction completes
Full audit trail: policy triggered, decision recorded, approval chain logged
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Banking with AI Governance

Fraud detection and loan processing powered by AI. AxonFlow redacts SSNs, enforces ECOA/FCRA/TILA compliance, and maintains audit trails.

A loan application is submitted with SSN "123-45-6789". The LLM evaluates creditworthiness and returns an assessment.

Without AxonFlow
SSN visible in application logs and LLM context
SSN persisted in response payload and backups
No compliance checks on the assessment logic
No audit trail for regulatory review
With AxonFlow
AxonFlow wraps the LLM call — one line of code
SSN automatically redacted from all logs: "[REDACTED:ssn]"
Loan assessment completes normally — applicant sees no difference
Full compliance audit trail: ECOA, FCRA, TILA checks recorded
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Healthcare with AI Governance

Clinical decision support and patient data access governed by AxonFlow. Four HIPAA scenarios show PHI redaction, restricted record blocking, data residency enforcement, and emergency access auditing.

A nurse queries patient records including SSN. A researcher requests medical records that include a substance abuse case protected by 42 CFR Part 2.

Without AxonFlow
SSN and home address returned in query results
Substance abuse records accessible without patient consent
No check on minimum necessary data for nurse role
No audit trail for HIPAA compliance reporting
With AxonFlow
AxonFlow enforces HIPAA Minimum Necessary — SSN redacted, care-relevant fields kept
42 CFR Part 2 records blocked automatically — requires explicit consent
Clinical AI routed to AWS Bedrock — PHI never leaves covered entity infrastructure
Every access logged with user identity, policy decision, and HIPAA rule reference

Governance Across Industries

The same runtime control layer adapts to healthcare, financial services, and commerce — enforcing the policies each industry requires.

E-Commerce

GDPR

An EU analyst queries: "Show all customers." The AI generates a database query.

Without AxonFlow
Query returns customers from EU, US, and APAC
Cross-region data access — GDPR violation
No consent check before data retrieval
Analyst sees data they should not have access to
With AxonFlow
AxonFlow auto-injects WHERE region = 'EU'
GDPR consent check enforced before query executes
Only EU customers returned — regional isolation maintained
Query, filter applied, and result scope logged

How It Works

AxonFlow sits in the execution path. Every LLM call passes through policy evaluation before the response is delivered.

1

SDK Wraps the LLM Call

One function call in your code. The SDK sends the request through AxonFlow before it reaches the model.

2

Policies Evaluated in <10ms

PII detection, role checks, compliance rules, and cost limits — all evaluated before the LLM processes the request.

3

Response with Audit Trail

The response is delivered with a complete decision record: what was checked, what was enforced, and why.

Python SDK — Add governance in a few lines
from axonflow import AxonFlowClient

client = AxonFlowClient(client_id="your-id", client_secret="your-secret")

response = client.audit_llm_call(
    prompt="Show all patients with diabetes",
    llm_response=llm_output,
    token_usage={"input": 50, "output": 200},
    latency_ms=340,
)
# response.policy_info.policies_evaluated → ["sys_pii_ssn", "sys_hipaa_phi"]

Ready to add governance to your AI workflows?

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