Launch intelligent, customer-ready experiences that create new revenue streams and deepen engagement — each one acting like a domain expert, backed by enterprise-grade reliability.
The constraints that stop most AI platforms at the bank's front door are the ones PHTN.ai was designed around.
The platform deploys into your own cloud subscription or data center. All data remains inside your boundary — with air-gapped deployment for the strictest environments.
Every agent, tool call, and decision is logged with cost, context, and outcome. Compliance-officer and read-only auditor roles are built into the access model.
Human decision gates are first-class workflow nodes — high-risk cases pause for review and resume exactly where they stopped.
Pentest reports, SBOMs, red-team results, and remediation history — packaged for your cybersecurity team's review.
The bank's supplier-verification process required coordinating document collection, identity verification, anti-money-laundering screening, risk scoring, and human review — across systems, at volume, under regulatory scrutiny.
On PHTN.ai, the workflow became a single compliance super agent: nine agents across eight sequential streams, from request intake through risk completion. Identity and AML screening run in parallel; risk scoring grounds itself in the bank's own compliance policies through retrieval; high-risk cases pause at a human decision gate.
The entire orchestration was built and remains editable on a visual canvas — no code — with every interaction scored in real time across 25+ quality and safety metrics and a complete audit trail on every assessment.
Dimension
Detail
Deployment
Bank's own cloud landing zone, deployed from the marketplace into its subscription
Identity
Bank SSO federated via SAML/OIDC, with roles mapped from the bank's IdP groups
Governance
Tenant hierarchy, policies, guardrails, and ontologies configured before the first agent ran
Security review
Full evidence package — SAST, DAST, SCA, pentest, SBOM — reviewed by the bank's cybersecurity team under NDA
Output
Structured risk assessments with citations, confidence scores, and full audit trails
Engagements at different stages of maturity, spanning all three adoption patterns.
AI in Technology
Converting legacy platforms and languages — including decades-old core estates — into cloud-native architectures at major US banking institutions.
Agent-driven conversion with automated test generation, run as wave-based migrations that keep legacy and modern systems in coexistence.
Automated test design and execution embedded in the delivery pipeline of financial-technology providers.
AI in Operations
A risk-scoring agent aggregates results, retrieving compliance policy from the knowledge base to ground its assessment.
High-volume support-mail triage, extraction, and routing for lending and servicing operations.
Document-heavy origination and servicing workflows orchestrated end to end, with auditability at every step.
Because we've answered them — in writing, under NDA, for some of the most demanding security organizations in banking.
By default, no. Every service runs inside your cluster, in your VPC. The only external traffic is the model call — and only if you choose a hosted model rather than self-hosting.
Real-world attack simulation against live platform instances — authentication and session weaknesses, access-control bypasses, misconfigurations, and API-specific issues.
Restrict which of the 148 catalog models are available per tenant, team, or project. Every interaction is scored by a Panel of Judges, with configurable thresholds that trigger retry, human review, or a kill switch.
Yes — read-only auditor roles, exportable audit trails, policy-enforcement logs, and an exportable role-permission matrix are built in.
0 minutes, a live super-agent walkthrough — with the audit trail on screen.
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