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INDUSTRY // FINANCIAL SERVICES
PRIMARY

Ship financial AI without the regulatory nightmare

For teams where defensible and auditable aren't buzzwords. They're requirements. Flightline gives you the evidence to prove your AI is safe.

Get your AI assessment
ONE METHODOLOGY // DOMAIN-SPECIFIC INTERPRETATION

The same Readiness methodology powers all Flightline assessments.

What changes is how each question manifests in your domain. Financial services failures have different shapes, blast radii, and unacceptable outcomes than other industries.

SECTION 01
THE STAKES

Financial AI fails differently

When a chatbot hallucinates in e-commerce, you lose a sale. When it hallucinates in financial services, you face regulators, lawsuits, and headlines.

  • !Regulatory scrutiny on AI decision-making
  • !Audit requirements for model behavior
  • !Zero tolerance for incorrect financial advice
  • !PII protection mandated by law
RISK PROFILE
$4.2M
Avg. data breach cost
87%
AI projects fail before prod
1 Tweet
From incident to PR crisis
SECTION 02
USE CASES

Where Flightline helps

Common financial services AI applications and the specific risks Flightline catches.

Fraud Detection AI

Catch when your model starts flagging legitimate transactions

Key Risks
  • !False positives blocking real customers
  • !Model drift after adversarial attacks
  • !Inconsistent risk scores across similar transactions
Readiness Questions
ConsistencyRobustnessRules

Trading & Advisory AI

Ensure recommendations stay within risk parameters

Key Risks
  • !Recommending unsuitable products
  • !Hallucinating market data
  • !Exceeding risk tolerances
Readiness Questions
GroundingRulesSafety

Document Processing

Validate extraction accuracy before it hits your systems

Key Risks
  • !Misread amounts on financial documents
  • !Incorrect entity extraction
  • !PII leakage in processing logs
Readiness Questions
SchemaIntentSafety

Customer Service Bots

Prevent your bot from giving incorrect financial advice

Key Risks
  • !Hallucinating product terms
  • !Misquoting interest rates
  • !Unauthorized account actions
Readiness Questions
HallucinationGroundingBrand Safety
SECTION 03
METHODOLOGY APPLIED

The 10 Readiness Questions for Financial Services

Same questions. Financial services context. Different failure examples and blast radii.

01
Intent
Does the AI correctly identify the financial action the user wants to take?
FAILURE EXAMPLE
User asks about account balance, AI initiates a transfer
BLAST RADIUS
Unauthorized transactions, regulatory exposure
02
Grounding
Are responses based on actual account data and market information?
FAILURE EXAMPLE
AI cites interest rates that don't match current products
BLAST RADIUS
Customer complaints, potential mis-selling claims
03
Hallucination
Did the AI invent product features, rates, or account balances?
FAILURE EXAMPLE
AI invents a promotional rate that doesn't exist
BLAST RADIUS
Compliance violations, customer disputes
04
Rules
Did it comply with regulatory requirements and internal policies?
FAILURE EXAMPLE
AI offers credit without required disclosures
BLAST RADIUS
Regulatory fines, legal liability
05
Safety
Did it avoid actions that could cause financial harm?
FAILURE EXAMPLE
AI recommends unsuitable investments
BLAST RADIUS
Fiduciary breach, customer losses
06
Consistency
Does the same query yield the same risk assessment?
FAILURE EXAMPLE
Same loan application gets different scores on retry
BLAST RADIUS
Audit failures, discrimination claims
07
Quality
Are explanations clear enough for regulatory audits?
FAILURE EXAMPLE
AI can't explain why it flagged a transaction
BLAST RADIUS
Compliance gaps, audit findings
08
Robustness
Can it resist manipulation attempts by bad actors?
FAILURE EXAMPLE
Fraudster tricks AI into approving suspicious transaction
BLAST RADIUS
Financial losses, fraud exposure
09
Brand Safety
Does it maintain appropriate professional tone?
FAILURE EXAMPLE
AI uses casual language for serious financial matters
BLAST RADIUS
Reputation damage, trust erosion
10
Schema
Are transaction records and reports correctly formatted?
FAILURE EXAMPLE
AI generates invalid transaction IDs
BLAST RADIUS
Reconciliation failures, data integrity issues
SECTION 04
COMPLIANCE

Built for compliance

Flightline doesn't just test your AI. It creates the audit trail regulators expect. Every evaluation is logged, timestamped, and traceable.

  • Zero PII exposure. Synthetic data only
  • Complete audit logs for every evaluation
  • Deterministic testing for reproducibility
  • SOC 2 compliance on roadmap
SECURITY POSTURE
Zero PII
No production data
Your Env
Runs in CI/CD
SOC 2
On roadmap

Ready to ship financial AI safely?

Get your assessment and see how your AI stacks up against production-grade safety standards.