Turn purchase orders, invoices, delivery challans and quality reports into structured, reviewable data with AI and LLMs. Validate the details, surface exceptions and prepare an approved handoff to your existing systems.
Request a discovery callStart where repeated document checks slow a team down. The fields, business rules and approval step are specific to your operation.
Capture item codes, quantities, dates and commercial fields from agreed supplier formats. Flag missing or inconsistent details for the procurement team.
Compare delivery notes and packing lists with expected quantities. Bring shortages, damage and document mismatches into a review workflow before a receipt is approved.
Extract batch references, measurements and test results into structured records. Check them against agreed specifications and route exceptions to a quality reviewer.
Prepare invoice data for review and compare agreed fields with purchase orders and receiving records. Keep mismatches visible before an approved handoff to finance.
We review representative samples and the current process, then scope a pilot around agreed document types, fields and one destination. Your team reviews the results before a rollout decision.
How we workWarehouse receiving example · Structured synthetic data for exploring validation and review.
Validation component demo
Change the structured sample counts, review the calculated checks, and explicitly approve a local sample export.
Example Supplier → Example Warehouse
| Item | Source quantity |
|---|---|
| Product A | 60 cartons |
| Product B | 40 cartons |
Structured synthetic values · no document uploaded
Review required
Export is blocked until all checks pass and you approve.
Working validation component · synthetic data only. This demo runs deterministic checks in your browser. It does not perform AI extraction, verify document authenticity, authenticate a reviewer, or connect to a warehouse system. No sample values are uploaded. See the reproducible validation evidence.
Fit the work to your existing systems
See what you can try here and what needs project work. Choose a file export or one bounded integration after checking your current tools.
Scoped for your project
Agree an inbox or upload route, approved document samples and the fields to extract with AI or an LLM.
Try the validation demo
Check that carton quantities are complete and consistent. The browser demo runs these rules on structured sample values.
Local demonstration
Correct the sample values and explicitly approve them. A production review queue, user access and audit history are scoped separately.
Sample CSV available
Download an approved sample CSV from the demo. A WMS or ERP connection needs agreed mapping, system access and testing.
A receiving-process owner, approved sample documents and expected values, plus a system owner if a destination needs access.
Field mapping, exception rules, approval steps, export format or API scope, data handling and pilot acceptance criteria.
Test against your system and representative documents. Agree access controls, duplicate handling, retries, review history and support.
The browser demonstration covers structured-value validation and a local sample export. AI extraction, business-system connections and durable approval records require implementation and evaluation.
Start with your workflow
Estimate the capacity a document workflow could release. Then evaluate cash costs separately, using evidence from your own operation.
Agree access, hosting and retention for camera feeds, documents and model providers before implementation.
Preserve source evidence, validate outputs and review exceptions before records reach your business systems.
Keep important decisions with your team, with defined review steps for AI alerts and generated outputs.
Agree the documents, the controls and the evidence needed for a useful pilot.
Choose one recurring workflow: supplier onboarding, purchase order checks, warehouse receiving, quality documentation or invoice review. We evaluate representative layouts, scan quality, languages and required fields before agreeing the document types and extraction scope.
We review your system, API or import options and permissions during scoping. A pilot targets one agreed destination: a file export or a bounded sandbox integration. Production access, error handling and rollout are agreed separately.
The workflow uses explicit validation rules and a review step for missing, inconsistent or ambiguous values. Reviewers can compare the draft with the source and correct it before approval. Pilot evaluation includes errors and exceptions, alongside successful documents.
Before sample evaluation, we agree access, hosting, retention, deletion and model-provider handling. The design defines who can see source documents, change extracted fields and approve records. Source references, correction history and destination permissions are evaluated for the selected environment.
The warehouse receiving example uses structured synthetic values. It runs quantity-validation rules and prepares an approved local CSV export. It does not perform AI extraction or connect to your ERP or WMS. Its evidence page explains the implemented checks and their limits.
Describe one document workflow, its owner, approximate volume and current handling effort. Tell us which system receives the final record. Please do not send confidential documents through the enquiry form; we agree sample handling separately. Pilot scope, fees and any cloud or model charges are agreed before work begins.
