QuillectAgentic document processing & extraction
From any document, any source — to validated, structured data at machine speed.
Inbound documents are a quiet, compounding cost. They arrive in every format, from every source — and most of the work is still manual re-keying that adds no insight and surfaces errors weeks later. Quillect is a managed, agentic platform that turns any document, from any source, into clean, structured, validated data at machine speed — with a human in control of the exceptions. A coordinating Agent delegates to specialised sub-agents that receive, classify, extract, validate, and deliver, while every value stays traceable to its exact place on the page and every action is recorded in an immutable audit log.
Invoices · POs · contracts · KYC · shipping · forms
Email · drives · S3 / Blob · scanners · API
Confidence score + link to its source region
Immutable audit log · secure archive
Capabilities
What Quillect does.
Intake Agent
Watches every source — inbox, shared drive, cloud storage, scanner, or API — retrieves documents, captures provenance, and prepares each one for reading. No forwarding, no shared folders, no copy-paste.
Classification Agent
Identifies what each document is — invoice, PO, contract, KYC form, shipping doc — and routes it to the right extraction logic.
Extraction Agent
Reads the document and returns every field with a confidence score and a link to its exact place on the page.
Validation Agent
Runs rule checks — math, dates, entity match, duplicates — and decides auto-approve or human review.
Distribution Agent
Files the original to secure object storage with metadata and delivers validated data downstream as CSV, JSON, or direct ERP write-back.
Learning Agent
Feeds every reviewer correction back, so the platform gets sharper with every document — the hundredth is better than the first.
How it works
4 stages, one accountable loop.
- 1
Receive
Documents from any designated source are picked up automatically — email, shared drives, cloud storage, scanners, or API.
- 2
Understand
Each document is read, classified, and its key fields extracted — with a confidence score against every value.
- 3
Verify
Confident extractions flow straight through. The rest go to a reviewer, with each value linked to its place on the page.
- 4
Deliver
Validated data reaches downstream systems as CSV, JSON, or ERP write-back. Originals are archived, audit-ready.
Benefits
Why teams choose it
- Recover the hours your team loses to re-keying — they move to judgement and exceptions
- Accuracy you can trust — consistently better than manual, every value traceable to source
- Inbox-to-validated-data in near real-time, so approvals can run in flight
- Straight-through rate climbs as the Learning Agent absorbs corrections
- Duplicates flagged before they reach finance or downstream systems
- Always-on retrievability — any historical document on demand, by entity, date, or reference
Use cases
Where it fits
- Accounts payable — invoices, purchase orders, receipts, statements
- Onboarding & compliance — KYC, AML, and identity documents
- Contracts & legal — agreements, NDAs, amendments
- Logistics & trade — bills of lading, shipping and customs documents
- Insurance & claims — forms, claims packets, supporting evidence
- Any structured or semi-structured document, from any source
Integrations
How it compares
A vendor-agnostic alternative
vs. Traditional OCR
Reads the page like a person using vision-language models — no brittle character-matching that fails the moment a layout changes.
vs. Template-based IDP
No per-vendor templates to build and maintain; it generalises to any format from any source.
vs. RPA screen-scraping
Understands documents and confidence rather than replaying fixed UI clicks that break when screens change.
vs. Manual data entry
Machine-speed extraction with every value traceable to source — people handle only the exceptions.
What is intelligent document processing?
Intelligent document processing (IDP) turns unstructured and semi-structured documents — invoices, contracts, forms, identity documents — into structured, validated data that downstream systems can use. Traditional IDP relies on rigid templates and OCR that break the moment a layout changes or a new supplier appears. Quillect replaces that brittleness with a coordinating Agent and specialised sub-agents built on vision-language models, so it reads documents the way a person would — by understanding the page, not matching a fixed template — and works across any format, from any source, with a confidence score against every value.
Agentic, not a fixed OCR pipeline
A fixed pipeline bolts AI onto a brittle, monolithic process. Quillect is agentic, which buys three properties a pipeline cannot match. Specialisation: each sub-agent has one job and a clear definition of done, so quality and observability are easy to reason about. Parallelism: independent documents and jobs run concurrently, so the platform scales horizontally without bottlenecking on any one step. Learning: every reviewer correction feeds back into behaviour, so the system that processes the hundredth document is measurably better than the first.
Any document, any source — with people in control
Quillect is the system of record for inbound documents from the moment they arrive — not a tool layered on a broken process. It surfaces to your people only where judgement adds value: confident extractions flow straight through, while low-confidence values and exceptions route to a reviewer who confirms on-screen, each value linked to its exact place on the page. Built on AWS with documents in Amazon S3 and AI in Amazon Bedrock, it supports region-pinning for data residency, encryption in transit and at rest, RBAC, and full audit logging — deployable in your own cloud account or operated by humaineeti, and model-agnostic so you inherit better models without migration risk.
FAQ
Common questions
What is agentic document processing?+
Agentic document processing uses a coordinating AI agent that delegates to specialised sub-agents — intake, classification, extraction, validation, distribution, and learning — to take a document from arrival to validated, structured data. Unlike a fixed OCR pipeline, the agents specialise, run in parallel, and improve from every human correction.
Which document types and sources does Quillect support?+
Any structured or semi-structured document — invoices, purchase orders, contracts, KYC and identity documents, shipping and customs paperwork, claims and forms — from any source: email, SharePoint, Google Drive, Amazon S3, Azure Blob, scanners, REST APIs, and webhooks.
Is there human review?+
Yes. Confident extractions flow straight through; low-confidence values and exceptions route to a reviewer who confirms on-screen, with each value linked to its exact place on the page. People stay in control of the exceptions.
How is it deployed and is it secure?+
It runs on AWS with documents in Amazon S3 and AI in Amazon Bedrock, deployable in your own AWS account or operated by humaineeti. It supports region-pinning for data residency, encryption in transit and at rest, RBAC, and an immutable audit log.
Does Quillect replace OCR?+
It replaces brittle, template-based OCR with vision-language models that understand the page. Every extracted value is traceable to its precise region, and the platform is model-agnostic — you inherit accuracy and cost improvements as better models ship, without migration risk.
More accelerators
Eval@Core
A continuous evaluation framework for AI agents and LLM apps — trace, verify, score, retrain.
ExploreMarketing AIApeXintel
Coordinated marketing agents across paid, SEO, campaigns, and revenue — under human oversight.
ExploreVoice BIInVocIQ
Query live enterprise data with your voice — governed by your semantic layer and warehouse security.
ExploreData MigrationRekonAIDe
Agents scan, evaluate, and plan database migrations — while your DBA stays in command of execution.
ExploreReady to deploy Quillect?
We’ll map Quillect to your stack, constraints, and compliance requirements — and keep humans in command.
Talk to humaineeti