A summary is not a decision. We build the whole pipeline.
Most document AI stops at a summary. The value is in turning a document into structured fields, a routed task, and a decision someone can stand behind.
CarbonSilicon Labs builds document pipelines that triage intake, extract what matters, check it against policy, and route it for review and approval — with an audit trail the whole way.
AI document processing turns a pile of documents into structured, routed, reviewable work. Every engagement answers:
Classification, routing, and duplicate detection the moment a document arrives.
Structured fields pulled out of unstructured documents.
Documents compared against your policies, contracts, and rules.
Prioritized queues with a reviewer experience built for speed.
The right document to the right approver, with the context attached.
A record of every extraction, check, and decision.
We pick one document workflow worth automating, with a clear measure of success.
We define the intake, extraction, checks, and review paths.
We engineer the pipeline and test it against your real documents.
We launch with review queues, approvals, and logging in place.
We tune the extraction, tighten the checks, and add document types as accuracy proves out.
Turning documents into structured, routed, reviewable work: triaging intake, extracting the fields that matter, checking against policy, and routing for review and approval — with an audit trail the whole way. It is the pipeline, not just a summary.
Summarization gives you a shorter version of the document. Processing turns the document into action: extracted data, validation, exception routing, and approvals. The value is in what happens after the summary.
The first step: classifying each incoming document, routing it to the right queue, and catching duplicates the moment it arrives — so nothing piles up unsorted.
Yes. It pulls the fields you care about out of unstructured documents and into structured records your systems can use, so a contract or invoice becomes data, not just a file.
Yes. We build prioritized review queues and approval routing, so the right document reaches the right reviewer or approver with the context attached.
Contracts, invoices, forms, policies, applications, and similar structured-but-varied documents. We scope the document types in the first workflow and add more as accuracy proves out.
Accurate enough to do the heavy lifting, with human review on the decisions that carry risk. We measure extraction accuracy and tune it, and route the uncertain or high-stakes cases to a person rather than guessing.
On anything high-value, hard to reverse, or governed by policy — the risk tiers we define up front. Routine extractions can flow through; consequential decisions stop for a person.
Yes. It checks a document against your policies, contracts, and rules, and flags where it deviates — so review starts from the exceptions instead of reading everything line by line.
Every extraction, check, and decision is logged, so any document's path through the pipeline can be reviewed and reproduced. The audit trail is built in, not added after the fact.