Product type · ai-agent-bankEXPERIMENTAL · BETAFINTECH

Generate a AI-Agent Bank
in 30 minutes.

AI-native bank where AI agents are first-class customers (β). 9-framework compliance pack (AI_Act · DORA · NIS2…) generated automatically.

Generate now →See pricing
5
Domain agents
9
Frameworks
4
Best practices
$0.50–$2
Avg cost / build
~30 min
Time to ship
Compliance frameworks · auto-applied

Generates an audit pack covering 9 frameworks.

AI_Act · EUDORA · EUNIS2 · EUGDPR · EUAML5 · EUAML6 · EUMiCA · EUTFR · EUSOC2 · US

Primary regulatorsEU AI Office · EBA · ESMA · BaFin

Why it matters: AI Act high-risk system non-compliance → up to 35M€ or 7% turnover. DORA ICT third-party risk breach → up to 1% daily turnover until remedied.

Domain agents · 5 specialists

Not a generic LLM. Specialists with hard-coded domain knowledge.

agent_identity_managerheavy

Agent Identity Manager

Design DID/VC identity layer for AI agents in a regulated bank.

did_designverifiable_credentialskey_managementeidas2
agent_kycheavy

Agent KYC Specialist

Design tiered KYC for non-human (AI agent) account holders.

agent_provenancecapability_attestationbehavioural_kyc
agentic_payment_routerheavy

Agentic Payment Router

Design payment rails for agent-to-agent transactions (stablecoin/CBDC/SWIFT).

stablecoin_settlementtravel_rulesanctions_screeningatomic_swap
agentic_risk_enginedeep

Agentic Risk Engineer

Design risk model for AI-specific financial-loss scenarios.

prompt_injection_defenseagent_drift_detectionai_side_channels
agentic_governancedeep

Agentic Governance Officer

Design multi-sig + kill-switch governance over AI-agent decisions.

multisig_designtimelock_governanceaudit_immutability
Stack · curated SDKs and connectors

The integrations the agents know how to wire up.

W3C DID + VCdid:web / did:ionCircle USDCMonerium EUReTRISA Travel RuleOpenID4VP
Knowledge base · best practices injected at runtime

Proven patterns the agents use to write your code.

agent_identity_patterns.md

AI-Agent Bank: Identity & Verifiable Credentials Patterns

Pros: No blockchain dependency, simple HTTP resolution, widely supported. Resolves to /.well-known/did.json on the bank's own domain. Auditable by regulators via standard HTTPS inspection. eIDAS 2.0 compatible. Cons: Trust anchored on DNS/TLS — susceptible to domain hijack.…

agentic_payment_rails.md

AI-Agent Bank: Agentic Payment Rails Patterns

Sender agent KYC tier (0.0–1.0) — higher tier = lower risk weight 2. Receiver agent KYC tier (0.0–1.0) — unknown receiver = 0.0 3. Amount normalised by daily limit — fraction of daily cap consumed 4. Velocity — transactions in last 1h / 24h vs baseline 5. Novelty — first…

ai_specific_risks.md

AI-Agent Bank: AI-Specific Risk Scenarios

Description: Untrusted input (user message, third-party API response, email content) contains embedded instructions that cause the agent to initiate a payment not intended by the legitimate principal. Detection: Input sanitizer checks for role-bearing strings in non-system…

competitor_landscape.md

AI-Agent Bank: Competitor Landscape (Q4-2026)

Position: First fully AI-native regulated bank with AI as the customer Capital: $18M seed (a16z crypto others) Founders: Sean Neville (Circle / USDC co-founder) Key differentiator: Pending "agent banking primitives API" — KYC-for-agents, agent-to-agent stablecoin rails via…

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