Ingest and classify
Accept approved PDFs, scans, images, email attachments, and repository files, then identify document type and routing rules.
Delivery platform
A delivery platform for RAG, OCR, and controlled AI workflows.
Move documents through one governed path from ingestion and extraction to cited retrieval, review, integration, and measurable operational use.
This page describes delivery capability: the components we assemble for every engagement. BlueMouse.ai brings together OCR workers, validation rules, document storage, vector search, permission-aware RAG, model orchestration, human approvals, monitoring, and integrations, each adapted to the workflow and deployment boundary. For sector requirements see Industries, and for a system you can open see Applications.
IngestOCR, classify, validate
RetrieveSearch, rerank, cite
ControlReview, act, audit
Document pipeline
One controlled route from a source file to a useful outcome.
The platform is designed for document-heavy work. Teams can extract structured values, ask questions against approved knowledge, assemble evidence, and route proposed actions without losing the source context.
Extract with OCR
Capture text, tables, and key fields while retaining page references, confidence signals, and the original document.
Validate and review
Apply schemas, business rules, duplicate checks, confidence thresholds, and human exception queues before downstream use.
Index approved knowledge
Prepare documents for permission-aware retrieval with suitable chunks, metadata, embeddings, indexes, and update policies.
Retrieve and cite
Search, rerank, assemble context, and return answers with evidence that users can trace back to an approved source.
Approve, act, and measure
Send outputs to people or connected systems through explicit controls, then monitor quality, exceptions, latency, and cost.
Connected workflow
Combine OCR and RAG before adding controlled action.
A useful document workflow often needs extraction and retrieval together. OCR reads the incoming file, RAG checks it against approved policy or history, and an agent can prepare the next step for a person to approve.
Supplier invoice exception review
- A supplier invoice arrives by email.
- OCR extracts supplier, totals, dates, purchase-order references, and line items.
- Validation rules flag missing fields and numerical mismatches.
- RAG retrieves the applicable payment policy and supporting supplier information.
- An agent prepares an evidence-backed exception summary for human approval.
Structured, auditable progression
Each stage receives only the information and tools it requires. Extracted values, retrieved evidence, proposed actions, exceptions, and approvals can be logged against the source document.
Explore security controlsKnowledge and systems
Connect approved knowledge without giving every user every document.
Permission-aware knowledge access
RAG can search approved procedures, policies, reports, contracts, manuals, drawings, and support knowledge while filtering results around the requester's identity and scope.
Purpose-limited system access
Connect only the required operations in document stores, CRMs, ERPs, ticketing systems, email, databases, and custom APIs, with approvals around consequential changes.
Build a document system
Start with one document flow and a measurable quality target.
Prove extraction accuracy, retrieval quality, evidence, review handling, and operating value before extending the architecture to more documents and teams.