01
Workflow Authoring (Build)
Creating, testing, and deploying risk workflows from no-code editing or natural-language prompts, as shown in Oscilar's prompt-to-workflow surface.
“Oscilar is the Agentic Risk Platform for financial institutions.” oscilar.com
Mapped capabilities
4 capabilities
Prompt-to-workflow generation
Turning a natural-language risk intent into an ordered workflow with inputs, rulesets, models, and terminal decisions.
Ruleset and threshold composition
Assembling checks such as device+behavioral intelligence and compliance screening against stated thresholds.
No-code editing by non-engineers
Modifying an existing workflow without code or engineering queue dependency, per the Conta Azul autonomy story.
Pre-deployment testing
Exercising a drafted workflow before it goes live rather than deploying untested logic.
Illustrative example
- Input
- Generate a workflow to flag high-risk AML patterns and escalate cases where one device ID has been used to create multiple accounts in the past 30 days.
- Expected behavior
- Returns an ordered workflow that includes a device-reuse check, a compliance screening step with a stated threshold, and at least two distinct terminal outcomes, one of which escalates or freezes rather than approving.