incident
Chatbots made promises firms had to honor
Air Canada was forced to grant a refund its bot invented, and a Chevrolet dealer’s bot “sold” a $76k SUV for $1—showing how customers and regulators treat AI statements as binding.
Financial Copilot
Automate regulated support.
Keep decisions auditable.
Protect banking, lending, and insurance AI with approved disclosure language, policy bounds, and evidence for regulated reviews.
solution workbench
incidents
4
products
2
evidence
full trace
failure modes
Chatbots made promises firms had to honor
Air Canada was forced to grant a refund its bot invented, and a Chevrolet dealer’s bot “sold” a $76k SUV for $1—showing how customers and regulators treat AI statements as binding.
Bias in automated pricing and eligibility
NBC News reporting shows Black drivers still pay higher premiums even when risk factors match, and regulators warn that AI can recreate modern redlining without strong fairness tests.
Regulators expanding AI risk rules
Colorado’s DOI is extending its AI risk management rule to auto and health insurers, signaling that explainability, fairness tests, and audit trails will be scrutinized.
controls
Runtime Security
Automated Red Teaming
Tamper-evident decision logs
Disclosure enforcement
Protect banking, lending, and insurance AI with approved disclosure language, policy bounds, and evidence for regulated reviews.
Test the realistic attack paths
4 field failure modes become adversarial campaigns tailored to this deployment.
Convert findings into controls
Runtime Security, Automated Red Teaming keep the workflow bounded after launch.
Built for this workflow
Controls that match
the deployment.
- Account assistants that cite product terms, fees, and policy rules before responding.
- Lending or underwriting copilots that assemble applications, flag missing documents, and route approvals to humans.
- Advisor copilots that draft meeting notes, disclosures, and suitability checklists for review.
financial-copilot.yaml
# Apply the solution playbook. # $ ga solutions apply financial-copilot deployment: financial-copilot assets: - product terms - pricing engines - advisor notes test_against: - Chatbots made promises firms had to honor - Bias in automated pricing and eligibility - Regulators expanding AI risk rules runtime_controls: - AI Runtime Security - Automated AI Red Teaming evidence: traces,citations,owners
Field evidence
Failure modes worth testing.
Financial Copilot deployments fail when the model gets more trust than the workflow can safely absorb. These examples become concrete tests, not generic awareness copy.
incident
Bias in automated pricing and eligibility
NBC News reporting shows Black drivers still pay higher premiums even when risk factors match, and regulators warn that AI can recreate modern redlining without strong fairness tests.
incident
Regulators expanding AI risk rules
Colorado’s DOI is extending its AI risk management rule to auto and health insurers, signaling that explainability, fairness tests, and audit trails will be scrutinized.
incident
Prompt injection turned copilots into fraud tools
Brave’s research into Perplexity’s Comet browser showed how hidden instructions in documents can make an AI execute malicious commands—exactly the kind of exploit fraud rings could use against claims or policy bots.
How General Analysis helps
Product controls for this use case.
The playbook connects discovery, automated red teaming, and runtime protection so controls stay specific to the deployment instead of becoming a generic policy layer.
General Analysis
AI Runtime Security
Bind assistants to approved terms and pricing engines, detect outlier offers, and log every decision with reasons compliance teams can audit.
General Analysis
Automated AI Red Teaming
Attack financial workflows with fraud-like payloads, prompt injections, and policy traps to ensure malicious users cannot game outcomes or expose customer data.
How the playbook runs
Map
Identify the assets and owners
Inventory product terms, pricing engines, advisor notes and the identities, tools, and data paths attached to the workflow.
Attack
Replay the relevant incidents
Turn field failures into adversarial prompts, multi-turn tests, tool-use probes, and policy traps for this deployment.
Enforce
Ship controls into production
Apply disclosure enforcement, licensed-human gates, and escalation rules where the workflow needs them.
Prove
Keep evidence attached
Tamper-evident decision logs
FAQ
Questions teams ask before launch.
Practical answers for deploying financial copilot with controls that security, legal, and operators can inspect.
Runtime controls bind every customer-facing response to your approved terms, product sheets, and pricing engines. The copilot cannot generate rate quotes, approval commitments, or fee disclosures that deviate from the authoritative data sources you configure. If a customer question would require the model to reference terms outside the approved bounds—a product not yet launched, a rate not yet filed, or a commitment the business has not authorized—the system blocks the response and routes the conversation to a licensed representative for manual handling.