Every Document In.Sorted, Matched and Routed.
Letters, forms, email, faxes and multi-file submission packages arrive in one queue. Agents read each one with its index and cover forms, apply your coding logic, check it against the history on file and route it to the right office with its deadline. Staff review anything that does not fit a rule.
Received from
Routed to
A sample submission intake. All names, applications and numbers are made up.
Every Field Found, Then Confirmed by a Person
Agents read the whole document and suggest what it is, what it is about, the case it belongs to, any personal information, the reply deadline and who to contact. Staff accept the suggestions or correct them.
Constituent Inquiry
Received March 18, 2026
FromU.S. Senate officeAI
RegardingBenefits claim BX-448120AI
ConstituentElena MarshAI
Dear Director: Our office was contacted by a constituent whose benefits claim has been pending for 14 monthsAI. She reports that she has sent the requested documents twice.
We ask that your office review the claim and respond to our office by April 1, 2026AI. Please contact Dana Whitfield, Caseworker, (202) 555-0187AI with any questions.
Reads Any Format
Scanned mail, PDFs, email, web forms and faxes are read the same way, with OCR where it is needed.
Shown on the Page
Every suggestion is highlighted where it was found, so checking takes seconds.
Personal Information Flagged
Names, numbers and health details are marked before the document moves on.
Every Submission Checked Against Its History
Complex triage depends on what came before. Agents crosswalk each submission against the record on file: earlier submissions, renamed products, changed contacts and missing sequences. A submission is coded in context, not in isolation.
The Full History on File
Prior submissions, approvals, correspondence and changes are matched to the new package.
Names and Numbers Reconciled
Renamed products, merged companies and reformatted numbers are linked to the same record.
Gaps and Conflicts Flagged
Missing sequences and facts that disagree with the record are flagged before routing.
Matched to the Right Case, Routed by Deadline
A whole batch is read at once. Each document is matched to an existing case and routed to the right office with its deadline, and the queue is sorted by when a reply is due.
Matched to Existing Cases
Names, case numbers and claim IDs are matched to your records, so nothing starts over.
Deadlines Never Buried
Response dates are read from the document or set by your rules, and the queue is sorted by them.
Routing Rules You Own
Offices, priorities and exceptions are settings your administrators can change.
Every Code Comes With Its Reason
Agents do not just return an answer. Every rule they evaluate is logged, matched or not, with the field it read and what it added. Every coded value keeps its reasoning and the exact passage behind it, so reviewers and auditors can see why a package was coded and routed the way it was.
Why: The cover letter states this is a new application.
cover.pdf, p. 1: “RE: New Application for Corvexa”Why: A fee coversheet is attached, found through the package index.
index.xml, entry 9Why: Rule new_applications.rare_condition matched.
Form 3, field 15, box checkedWhy: Rule new_applications.prior_file matched.
Form 3, field 22A Log of Every Rule
Each rule shows whether it matched, the field it read and the value it added to the output.
Reasoning With the Evidence
Each coded value carries its reason and the passage, form field or index entry that supports it.
Exported for Audit
Decision logs and structured output export as JSON for your records, reviewers and assessors.
Built for Government Correspondence
Agents run in your environment, keep your people in charge of every decision, and keep your data out of model training.
People Confirm What Matters
Agents read, classify and route. Staff confirm anything uncertain, and every decision is recorded under a name.
Your Data Never Trains a Model
Documents, tickets, conversations and contract data are used to do the work and nothing else.
Runs Inside Your Boundary
GovCloud, on-premises or air-gapped, with no external dependencies.
Evidence for Your ATO
Every agent action and human decision is recorded and maps to your control families.
The AI Provider You Approve
The model connection sits behind one interface, so you can use the provider your agency approves.
Configured, Not Coded
Rules, routes, sources and thresholds are settings your administrators can read and change.
Related Modules
The platform modules these solutions are built on.
Frequently Asked Questions
Common questions about ThinkTrends Document Triaging AI.
What is ThinkTrends Document Triaging AI?
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ThinkTrends Document Triaging AI is an agentic intake pipeline for government correspondence. It reads letters, forms, email, faxes and scans, works out what each document is and what it needs, matches it to an existing case and routes it to the right office with its deadline. Staff review anything uncertain.
How is ThinkTrends different from OCR or intelligent document processing tools?
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OCR and document processing tools extract text and fields. ThinkTrends also classifies each document, matches it to a case in your records, applies your routing rules and deadlines, holds uncertain documents for a person and records every step for audit.
Which document formats can ThinkTrends read?
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Scanned mail, faxes, PDFs, email with attachments, web forms and images, including handwriting where it is legible. Every format follows the same rules.
What happens when the ThinkTrends agent is unsure about a document?
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The document waits for a person, with the uncertain fields highlighted on the page. Nothing is routed on a guess.
Can we change where ThinkTrends routes documents?
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Yes. Offices, document types, priorities and deadlines are routing rules your administrators can read and change without code.
How does ThinkTrends match a document to an existing case?
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It compares names, case numbers, claim IDs and addresses with your case management system through a connector, and shows the match for review before routing.
Is our data used to train AI models?
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No. ThinkTrends uses documents only to do the work, inside your own environment. Your data is never used to train, tune or evaluate a model.