Seva AI meets documents wherever they live. Instead of forcing your team to manually download, scan, or relay files, Seva AI connects directly to the channels your referral partners and physicians already use.Curasev accepts incoming medical documents from:

• Google Drive and Google Workspace
• Dropbox and OneDrive
• Gmail and Outlook inboxes
• Inbound fax lines
• Direct portal and API submissions

Every document — regardless of origin — enters the same intelligent intake pipeline, is processed identically, and is delivered to your workflow with the same accuracy and speed. Your team never needs to go looking for files again.

Seva AI reads every incoming document and immediately identifies what it is and what it contains. No manual labeling. No folder sorting. The AI classifies the document type — referral, prescription, prior authorization, discharge summary, clinical note, CMN, or insurance card — and extracts all relevant data fields in seconds.Extracted data includes:

• Patient demographics and insurance identifiers
• Referring and ordering physician NPI
• ICD-10 diagnosis codes
• HCPCS product and equipment codes
• Order completeness indicators
• Prior authorization numbers and requirements
• Patient eligibility indicators

Each extracted field is structured and validated before it ever reaches your DME software — eliminating transcription errors at the source.

Once Seva AI extracts document data, it immediately analyzes every order against the applicable CMS coverage framework — before any human touches the file.The system evaluates:

• Local Coverage Determination (LCD) and National Coverage Determination (NCD) compliance
• Medical necessity documentation sufficiency
• HCPCS code accuracy and alignment with diagnosed conditions
• Prior authorization triggers and requirements by payer
• ICD-10 diagnosis code validity and LCD alignment
• Order completeness and physician signature presence
• Patient eligibility and active coverage indicators

This is not a rules engine with static lookups. Seva AI reads clinical language contextually, interpreting physician notes and documentation the way a trained compliance reviewer would — and flags compliance gaps before they become denials.

After classification, extraction, and compliance analysis, Seva AI doesn't stop at surfacing data — it moves it. The system automatically routes patient, referral, and provider information into the correct DME workflow based on document type, payer, product category, and order status.Seva AI workflow routing ensures:

• Complete orders flow directly to fulfillment and billing queues
• Incomplete or non-compliant orders are flagged and held for resolution
• Prior authorization requirements trigger the appropriate approval workflow
• Referral source and provider data populate patient records without manual entry
• Secondary payer documents are correctly associated to existing orders

The result is a fully connected intake-to-billing pipeline where patient data flows in the right direction — accurately and automatically — from the moment a document arrives.

Every document processed by Seva AI receives a real-time intake accuracy score. This score reflects the completeness, compliance, and billing readiness of each incoming referral based on extracted data and payer policy matching.

If documentation meets all coverage and completeness requirements, Seva AI automatically advances the order. If gaps exist, the system generates a precise deficiency report identifying exactly what is missing — whether that's a physician signature, a clinical note supporting medical necessity, a missing HCPCS code, or an expired authorization.

This proactive gap detection prevents your billing team from discovering problems after claim submission. Issues are caught and resolved at intake — before they cost you a denial, a delay, or a resubmission cycle.