Turn unstructured insurance documents into clean, usable data your teams can act on.
The rules, the stakes, the accountability — generic AI was built to avoid that complexity. Notch was built to handle it.
The rules, the stakes, the accountability — generic AI was built to avoid that complexity. Notch was built to handle it.
Deploy where it matters most.
Add workflows without adding complexity.
Deploy where it matters most.
Add workflows without adding complexity.
Insurance workflows still depend on documents that arrive in different formats, channels, and levels of completeness. A single submission can include an application, SOV, loss runs, supplemental forms, schedules, photos, certificates, and emails with important context.
Before work can even begin, someone needs to open every attachment, understand what each file contains, extract the relevant details, check for missing information, and decide where it should go.
That manual intake layer slows down underwriting, creates operational bottlenecks, and makes it harder to track why a file was delayed, rejected, or escalated.
Deploy where it matters most.
Add workflows without adding complexity.
Deploy where it matters most.
Add workflows without adding complexity.
The Notch Document Ingestion AI Agent acts as the first layer of intelligence across your document-heavy workflows.
It receives incoming files, identifies document types, extracts the fields your business cares about, validates the information against your rules, and triggers the next step. When something is unclear, missing, or outside policy, the agent routes it to the right person with context.
Instead of asking teams to manually prepare work, Notch prepares the work for them.
Notch’s AI Agents are pre-trained for banking and work around the clock with a 99% accuracy rate:
Identify what each file is, even when documents arrive with unclear names, mixed attachments, or multiple forms in one packet.
Pull the fields your team needs, such as insured name, address, effective date, limits, class codes, exposure data, etc.
Route files to the right underwriter, operations queue, service team, or escalation path based on document type and confidence.
Send uncertain cases to a person with a clear summary of what the agent found, what is missing, and what action is recommended.
Detect missing forms, unanswered questions, inconsistent values, expired documents, or data that does not match your underwriting requirements.
Maintain a defensible record of what was received, what was extracted, what was flagged, and what action was taken.
A submission lands in a shared inbox. Seven structured steps later it’s a decision-ready file on an underwriter’s desk.
Reduce the operational load around document-heavy workflows while improving consistency and traceability — grouped by what the team actually feels.
Traditional OCR tools extract text. Notch builds AI agents that understand the workflow around the document.
Notch’s operating layer, ADAM, helps identify where document workflows break down. It analyzes exceptions, detects recurring intake issues, and surfaces opportunities to build or improve agents.
*ADAM - AI Dialogue and Automation Mindframe
Always on agents drive more sales and automates tasks end-to-end.
Back-office automation and internal co-workers keep your team focused on the important work.
Whether seasonal surges or expanded coverage, you can scale output without scaling headcount.
%20(1).avif)
.avif)
Deployed in weeks. Autonomous in months. Compounding for years.
.png)
.png)
