Honey Badger launches no code risk workflow builder

Nov 2, 2026
Risk Playbooks lets fraud and risk teams combine data sources, rules and scoring in a visual builder, then publish the workflow through a single API.

Honey Badger announced in a press release the launch of Risk Playbooks, a visual builder for fraud and risk workflows. The tool lets teams configure checks, rules, thresholds and scoring without writing code.

Users can select from more than 150 data feeds, determine the order of checks and define pass, refer or decline outcomes. Risk Playbooks publishes each workflow as a single API endpoint with generated documentation, and saved changes take effect immediately.

An optional feedback loop uses confirmed outcomes to update scorecards and recommend rule changes. Risk Playbooks is available now through the Honey Badger portal for customers in financial technology, lending and payments.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI in Finance AI Brief AI Brief (X)
Free newsletter

Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

Guide
23 AI meeting assistants for financial advisors

23 AI meeting assistants for financial advisors

What each one captures, what it keeps and which records it changes, from standalone apps to the AI built into advisor CRMs.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.