Two different jobs

Runtime is the AI agent harness for payment teams. From payment ops to risk, compliance, and support, anyone on the team can build agents that work their queues on their own computers inside your cloud, called from Slack, Teams, email, SMS, or voice, with approvals and a full audit trail.

Bretton AI (formerly Greenlite) builds AI agents for financial crime operations. Its agents handle KYC and KYB reviews, AML and sanctions investigations, and ongoing monitoring, built on what it calls Trust Infrastructure: regulatory guidance, model risk management, and continuous evaluation. Banks regulated by the OCC, FDIC, and Federal Reserve use it, along with platforms like Robinhood, Mercury, and Gusto. In 2026 it raised a $75M Series B and launched managed services, where its own team runs compliance operations for customers.

The biggest difference is scope and ownership. Bretton goes deep on financial crime and can run that work for you. Runtime is software your own team uses across every operational team, with a forward-deployed engineer helping you roll it out.

Why payment teams choose Runtime

Built for money movement

Payment work is mostly exceptions: a held payout, an ACH return with an odd code, a dispute where the evidence contradicts the claim. Runtime agents reason through those cases on their own computers, across your ledger, processor, bank files, and tickets, and stop for a person before anything moves money.

Your data stays yours

Agent computers run in your AWS, GCP, or Azure account, or you self-host the whole platform. Card numbers, SSNs, and secrets are masked before any prompt or log, and you can serve open-weight models locally for PCI and PII work.

One harness for every team

Support, payment ops, finance, risk, and compliance all build on the same harness, so one stuck payment is one investigation, not four. Every run is stored with its evidence, approvals, and cost, ready when an auditor or sponsor bank asks.

An engineer, not an account executive

A forward-deployed AI engineer who has built payment infrastructure maps your processes, builds the first agents with your team, and sets up guardrails.

When Bretton AI makes sense

Financial crime compliance (AML, KYC, sanctions) is the only scope
You want purpose-built compliance agents with model risk management included
You'd rather have a vendor run compliance operations for you
Your regulator relationship benefits from a specialist compliance vendor

When Runtime makes sense

You run payments, banking, or lending operations and the queue keeps growing
The work needs judgment on exceptions, not just a fixed sequence of steps
Card data or PII has to stay in your environment
You need approvals on money movement and an audit trail your sponsor bank will accept
You want one platform for every team that touches a transaction

See Runtime on your busiest queue

Bring one SOP. A forward-deployed AI engineer builds the first agent with your team, inside your cloud.

Book a demo

Feature	Runtime	Bretton AI
What it is	Agent harness for every payment team	AI agents for financial crime compliance
Teams covered	Compliance, risk, payment ops, finance, support, onboarding	AML, KYC, sanctions, and fraud
Financial crime depth	You build agents from your SOPs	Purpose-built agents and regulatory guidance
Model risk management	Evals on your own resolved cases	Built-in trust infrastructure and evaluation
Managed operations option	Software your team runs, with FDE support	Managed services that run compliance ops for you
Shared memory across teams	One governed memory for every team	Within financial crime operations
Runs in your cloud	Yes, or fully self-hosted	Vendor platform
Bring your own models	Any model, including local open models	Vendor-managed
Approvals on money movement	Built in, from Slack, Teams, or the dashboard	Not the focus