Blueprint · not a client result
Request and document triage
A traceable queue that receives requests and documents, validates their contents, proposes a route, and keeps ambiguous or sensitive cases with the right human owner.
- Client
- Internal operations teams
- Industry
- Businesses handling requests and documents
- Loop
- Records
The challenge
What was getting in the way
Staff open attachments, check missing information and forward requests before the actual work can begin. Each request needs a responsible person, without sensitive or unclear documents being sent to the wrong team.
An operations team receives requests through email, uploads, and internal forms. Each request may include attachments, missing fields, or sensitive content, and the next step depends on both policy rules and document meaning.
Operators repeatedly open, rename, classify, and forward files before useful work begins. Requests can stall without an owner, yet an unconstrained AI classifier could misroute sensitive or unsupported cases.
- A request arrives in a shared inbox, form, or upload folder.
- An operator checks completeness and identifies the request type.
- Files are renamed, stored, and linked to a spreadsheet or ticket.
- Missing information is requested manually and the case is forwarded to an owner.
Approach
How the system works
A proposed intake queue checks files, extracts key details and routes supported requests. Unclear, sensitive or unfamiliar cases pause for human review, with a record of each decision.
- 01
Secure intake
Approved channels feed a single queue with malware checks, access policy, identifiers, and retention metadata.
- 02
Validation and proposal
Rules establish file and field validity before bounded extraction and classification propose the next route.
- 03
Review and execution
Confidence, sensitivity, and exception rules decide whether the route executes or pauses for an operator.
Get each request to the right team with key details
- 01Fields extracted
- 02Format checked
- 03Request type
Rules handle
- Accept only supported file types, sizes, and intake sources.
- Run security checks and attach retention and access policy.
- Validate identifiers, required fields, dates, and known formats.
- Apply confidence and sensitivity thresholds to every proposed route.
- Create the destination record only after all required gates pass.
AI handles
- Extract agreed fields from supported document layouts.
- Propose a request category and explain the evidence used.
- Summarize the request for the receiving operator.
- Draft a missing-information message without sending it automatically.
People decide
- Review low-confidence, conflicting, sensitive, or unknown request types.
- Correct extracted fields while preserving the original proposal.
- Approve external requests for missing information.
- Decide retention, deletion, and access exceptions under company policy.
Typical stack
What it connects to
We connect the tools you already run.
Request channels
Shared inboxes, controlled upload forms, and approved internal forms.
Document storage
Existing secure storage with permissions and retention controls preserved.
Work management
Tickets, owners, service levels, and destination workflow states.
Identity and audit
Company authentication, roles, access events, and operational logs.
Tools it is commonly built on
- n8n
- Claude
- Gmail
Limits
Limits of this case
- Extraction quality depends on document quality and supported layouts.
- Unknown request types pause for review instead of being forced into a category.
- Security, retention, and data-processing choices require the client's policy and legal review before implementation.
Possible next phase
After one high-volume request class is stable, add adjacent classes one at a time using reviewed examples, explicit thresholds, and separate acceptance criteria.
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