Platform Agent

Custom AI Agent

Custom AI reasoning, embedded anywhere in a decision workflow.

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Where it Helps

Custom AI Agents let risk teams drop a configurable AI reasoning node directly into any Oscilar decision workflow, alongside rules, scorecards, and data calls, with no separate integration required. Each task is scoped to a single purpose, classify, summarize, extract, or recommend, with its own prompt, inputs, and output schema. Workflow builders compose AI logic the same way they compose any other step: drag it in, configure it, and let it read live workflow data as the case moves through the flow.

Key Capabilities

Drop-In Workflow Node

Add an AI task anywhere in a decision flow, upstream or downstream of rules and scorecards.

Configurable Prompt and Scope

Admins define the task's instructions, input fields, and expected output structure per use case.

Structured Output Contracts

Task output is typed and validated so downstream steps consume it like any other workflow variable.

Native Case Data Access

The task step reads live workflow variables directly, no manual data mapping required.

Confidence Scoring

Every output includes a confidence indicator so downstream logic can branch on certainty.

Version-Controlled Configuration

Prompt and schema changes are versioned, testable, and rollback-ready before deployment.

Full Audit Logging

Every task invocation, input, and output is logged to the workflow's audit trail.

How it Works

Admin Defines the Task

Configure the prompt, inputs, and output schema in AI Agent Hub.

Task Is Placed in a Workflow

Drag the AI Task Step into any point in the decision flow.

Workflow Executes the Task

Live case data feeds the task step automatically as the workflow runs.

Output Feeds Downstream Logic

The structured, confidence-scored output is consumed by subsequent rules or steps.

Popular Use Cases

Free-Text Classification

Categorize unstructured application notes or dispute narratives into structured risk categories mid-workflow.

Signal Summarization

Condense multiple upstream data pulls into a single plain-language summary field for downstream rules.

Custom Risk Scoring Logic

Apply bespoke AI judgment at a specific decision point without building a standalone agent.

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