Your team brings
A receiving-process owner, approved sample documents and expected values, plus a system owner if a destination needs access.
For warehouse & 3PL operations
Use AI and LLM assistance to capture agreed fields, check quantities and bring discrepancies to your receiving team. Keep staff approval and your existing system at the centre of the workflow.
A focused starting point: one receiving workflow, agreed document types and one destination.
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.
The first paid engagement
A workflow assessment turns the operational problem into an agreed delivery decision. You receive findings, a process map and a bounded proposal for what comes next.
Planning range: 1–2 weeks, subject to scope and sample availability. Deliverables and fees are agreed before work starts.
A process owner, representative samples approved for use, expected correct values, and a route to system access and budget. Sample handling is agreed separately from the discovery call.
Then, a bounded pilot
Agree the scope and the evidence needed before building. Planning range: 4–6 weeks, subject to complexity, access and client review time.
Source-linked extraction, explicit checks, an exception-review queue and one constrained AI assistant behaviour where useful. Staff approve operational updates.
Correctness, exception handling, staff effort, turnaround and operating cost. Compare the results with the baseline and agreed acceptance criteria.
Use the evidence to decide on rollout. Production access, monitoring, failure handling, training and support are scoped separately.
Use artificial intelligence and large language models to extract information and assist with agreed tasks. Evaluate outputs against representative samples and keep staff approval in the workflow.
Agree data access, hosting, retention, and model-provider handling before implementation. Define who can view documents and approve actions within the scoped workflow.
Keep source references, check missing or inconsistent fields, and review exceptions before updates. Define reconciliation steps for failed or incomplete transfers.
Before we talk
A useful fit is a recurring document workload, a clear operational consequence and a team able to review the results.
We evaluate the system and its access options during assessment. The first pilot targets one agreed destination: a file export or a bounded integration. Existing software configuration may be enough; we check that before recommending new development.
Delivery notes, challans and packing lists are a starting point for receiving conversations. The pilot covers up to two agreed document types. We evaluate representative layouts, scan quality, languages and required fields before committing to extraction scope.
Bring one recent receiving case, a rough sense of document volume and handling effort, and the name of the system your team uses. Describe the problem first. Please do not send confidential documents through the enquiry form; we agree sample handling separately.
Before sample evaluation or implementation, we agree access, hosting, retention, deletion and model-provider handling for the engagement. We identify what information a provider would receive and who can view or approve records. Deployment choices and contractual requirements are evaluated for your workflow.
The pilot defines explicit checks and review rules using representative samples. Missing, inconsistent or ambiguous values go to staff review. Source references remain available, and staff approve consequential actions. The pilot measures both correctness and the effort of reviewing exceptions.
The first call is a 30-minute fit conversation. A paid assessment is a separate engagement, with deliverables and fees agreed before work starts. Pilot delivery and any hosting, model or software usage costs are scoped and priced separately.