Built into every module
AI methods on documents, scores, imports, forms, messages, reports, and queues — configured with templates, not custom code.
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QBO Platform · Agentic orchestration
AI agents in QBO are steps in your workflow. QBO decides when a model runs, on what data, under whose security, and where the result goes, and results land as QBO data in your audit trail.
AI where you trust it. People where you need them. Your rules decide which.
A case’s workflow calls the model; the answer comes back to the case. Choose Claude, Gemini, OpenAI, or Amazon Bedrock by configuration.
What it does
AI methods on documents, scores, imports, forms, messages, reports, and queues — configured with templates, not custom code.
Classify, label, transcribe, and extract data with per-field and weighted confidence scores, including from original PDFs and images.
Turn a document into records — including nested ones — complete forms, and update fields from AI output.
Draft review memos and email replies for people to check before anything moves forward.
Questions become a single read-only SELECT, validated against your schema without running it; drafts that fail validation come back flagged for review.
Provider batch processing through QBO’s queue, context caching where supported, and token costs posted to ledgers by type.
An AI agent can have its own user account and receive work through the same assignment rules as your people. Results carry a confidence score, so a worklist can send anything below your bar to a person for review, and worklist audits spot-check what the agent completed.
Agent instructions can pull live QBO data at run time, and QBO agents can use tools from external MCP servers.
Building blocks
| AI engines | AI methods across documents, scores, imports, forms, messages, reports, and queues |
| Model providers | Chosen per agent by configuration |
Integrations
More of the platform