Bretton AI

What Bretton AI does

Bretton AI runs AI-native operations for the financial back office, replacing BPOs with efficient agentic operations. It provides a platform for OCC, Fed, and FDIC regulated banks to manage compliance, risk, fraud, and operations on a single platform, utilizing their own data and policies. Every output is traced, cited, and audit-ready, supported by Bretton's proprietary Trust Infrastructure for model validation, governance, and auditability in regulated workflows. The platform includes tools for building custom agents, pre-built skill templates, and a workbench for case management, aiming to improve efficiency, defensibility, and durability in back-office operations.

Products

• Bretton AI platformAn agentic platform for the financial back office to build, run, and govern AI agents across various workflows, audit-ready from day one.
• TemplatesPre-built skills and agents for deployment in minutes, including 30+ skill templates and 180+ data sources for back-office workflows like EDD, monitoring, sanctions, SAR drafting, KYB, HMDA, and CRA.
• BuilderAllows users to use natural language to build custom agents on their data and policies for regulated work, capturing and scaling analysts' judgment.
• WorkbenchAn AI workspace where teams work alongside agents, trained on back-office workflows and connected to tools, integrations, and sources.
• Bretton AI Trust InfrastructureA proprietary system of model validation, governance, and auditability guardrails that enables AI use in key regulated workflows, ensuring every decision is logged with reasoning, evidence, and model version.
• Bretton AI Managed ServicesServices to help organizations fully transition to agentic infrastructure, providing dedicated teams to build and deploy solutions.
• Alerts AIA component of the Bretton AI platform specifically designed to automate L1 AML alert handling, reduce false positives, and speed up alert resolution.

Key capabilities

• AI-native operations
• Agentic operations
• Layered over customer data and policies
• Audit-ready by construction
• Every decision logged with reasoning, evidence, model version
• Intensive QA / QC using modern agent-as-a-judge methodology
• Works with existing systems, software, and tools
• Independent model validation
• Zero-data retention
• SOC 2 type II compliant
• GDPR compliant
• Virtual private clouds
• Enterprise deployment infrastructure
• Compounding intelligence (agents get sharper with every case)
• Native connectors for document reviews, alert handling, customer reviews, due diligence, case narratives, and core systems
• SOPs become configuration
• Production traces become eval sets

Use cases

• Compliance operations
• Risk management
• Fraud investigations
• Lending operations
• AML (Anti-Money Laundering)
• KYC (Know Your Customer)
• Customer Due Diligence (CDD)
• Enhanced Due Diligence (EDD)
• Sanctions screening
• Transaction monitoring
• Identity verification
• Loan origination
• SAR (Suspicious Activity Report) drafting
• KYB (Know Your Business)
• HMDA (Home Mortgage Disclosure Act) validation
• CRA (Community Reinvestment Act) compliance
• Scam and authorized fraud reviews
• SBA Loan Review
• Merchant Risk Review
• Third-party and vendor risk (TPRM) assessment
• Product Line Assessment
• Underwriting (spreading financials, pulling borrower data, assembling credit files)
• Automating L1 AML alert handling
• Periodic reviews

AI approach

Bretton AI provides an AI-native platform with proprietary Trust Infrastructure for financial back-office operations. It uses AI agents to automate compliance, risk, fraud, and lending workflows, layered over a client's data and policies. The platform includes templates, a builder for custom agents, and a workbench for human-AI collaboration. The Trust Infrastructure ensures model validation, governance, and auditability, with every decision logged, cited, and explainable.

Tech named: AI Agents, Trust Infrastructure, model validation, governance, auditability, agent-as-a-judge methodology, model risk management, continuous evaluations, generative AI

Industries served

• Financial Services
• Banking
• Global payments platforms
• Global payroll platforms

What it says sets it apart

• AI-native operations for the financial back office
• Proprietary Trust Infrastructure for model validation, governance, and auditability
• Audit-ready by construction, built to federal banking guidelines
• No rip and replace of existing systems, works as an overlay
• Runs on customer's own data and policies
• Compounding intelligence: agents get sharper with every case
• Dedicated teams for deployment and transition (Managed Services)
• Bank-grade from day one with rigorous QA and continuous evaluations
• Focus on defensibility and regulatory requirements
• Ability to grow into new markets, products, and customers without adding operational load

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.