Super AI

super.AI automates business processes end-to-end with guaranteed results using super.AI Intelligent Document Processing (IDP). The super.AI IDP advantage starts with one belief: extraction is just the beginning. The tool targets teams handling hard documents across industries, offering a pathway from drop to production workflow where documents are read, fields are extracted, and structured data is produced. It emphasizes transparency by showing the work and enabling corrections that inform future runs. The platform supports multi-page and messy documents, expanding beyond simple extraction to include orchestration and automation, aimed at enterprise-scale document processing workflows.

The system operates by letting a user drop a document and describe what is needed. It then builds an end-to-end workflow that selects models, structures the output, and surfaces every decision made, including which model was used, what prompt was applied, and the routing logic. The flow is fully editable, and corrections are absorbed to improve future results. Users can run on single documents or scale to large volumes, with audit-ready logs recorded for each execution and an option to iterate by conversation as the workflow evolves.

Key capabilities include the ability to render a visual graph of every produced flow, enable versioning and rollback, and provide audit-ready logs. The product offers integration points with ERP and other tools, allowing extracted data to be synced into existing systems. It supports plain-language requirements converted into executors, schemas, routing logic, and validators wired into production flows. The platform emphasizes human-in-the-loop review and crowd-sourced data processing on request to bolster accuracy.

Super.AI is enterprise-ready with auditable, secure design and plug-in integrations. It highlights a production-ready architecture with deterministic workflows and secure credentials, alongside REST APIs, webhooks, S3, Drive, email, and database write-back capabilities. The solution also notes its emphasis on allowing teams to build production flows through conversation, real-time flow updates, and a changelog attached to each flow for traceability.

Use cases

• Before super.AI we could only get through about 50% of our documents. Now we process 100% quickly, accurately, and with confidence.