Precise Document Workflows Without AI Errors

Text and Data from transcripts, intake forms, SOPs, and other documents → Extracted, organized and instantly verifiable and auditable, with zero hallucinations.

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Manual Processes

Clinics, hospitals and payers are still drowning in transcripts, forms, EOBs, labs, referrals, discharge summaries, claims, and policy docs. Manual processing is a burden on admin and takes away resources from patient care.

AI Errors

No matter what is promised, even the best AI-tools aren't able to process complex unstructured content or long tasks without errors or hallucinations. This is unacceptable when patient data, billing, or compliance is on the line.

Always verbatim

Intellean extracts only content that exists in source documents, then organizes, structures and surfaces every fact directly. The original content always available to be compared for immediate verification. Nothing is left out or missed, ever.

Outputs for your processes

Any inputs from ASR, transcripts, meeting notes, EoBs, SOPs, or simply copy-pasted text, is turned into precise zero-hallucination outputs for reports, workflows, templates, or external systems - fully auditable.

Verify

Every item, every datapoint, every character, letter and number can be verified in real-time, for Quality Assurance, compliance and auditing. Nothing is ever left out or generated.

Visual hierarchy

Visual hierarchies are proven by cognitive science to be 2-5x better for comprehension and retention of information. Can be used to help users understand and learn complex concepts or navigate relevant related items.

So what about existing AI solutions?

Traditional Intelligent Document Processing tools and LLM-based systems promise automation, but deliver probabilistic outputs that frequently hallucinate, misinterpret clauses, invent fields or lose critical nuances. This is especially dangerous when dealing with, e.g. patient details or medication dosages, or insurance claims.Moreover, these tools often lack proper provenance, version control, and deterministic mapping between incompatible systems, e.g. private vs public healthcare platforms, while raising serious concerns around data residency, compliance (PHIPA, PIPEDA, HIPAA, etc.), and auditability.

Heavy LLM / agentic tools require constant verification, guardrails, and human oversight. Cost and liability stay high. Intellean architecture deliberately uses minimal AI to understand context of content, but the outputs are deterministic.The outcome of using heavy AI systems, is spending significant time and money on AI that still can't be fully trusted for high-stakes work, leading to persistent manual fallback, increased liability exposure, and slow ROI and unexpected costs. All the while the underlying probabilistic foundation remains fundamentally unreliable for regulated environments where even small errors can have severe consequences.