Validation component demo

A small discrepancy.
A clear next step.

Change the structured sample counts, review the calculated checks, and explicitly approve a local sample export.

Fictional delivery note

DEMO–014

Example Supplier → Example Warehouse

Original structured sample values, preserved while review values are edited
ItemSource quantity
Product A60 cartons
Product B40 cartons
Source printed total98 cartons

Structured synthetic values · no document uploaded

Review values

Edit the sample below. Original source values stay above. Use whole carton counts from 0 to 1,000,000; zero is an explicit value, not evidence of delivery.

Line quantities total 100 cartons, but the printed total is 98. A reviewer must resolve the 2-carton difference.

Any edit or example change clears your approval.

02 / CHECK & REVIEW

Review required

Reviewed line-item total
100 cartons
Reviewed printed total
98 cartons
Line total minus printed total
2 cartons
  • Line quantities total 100 cartons, but the printed total is 98. A reviewer must resolve the 2-carton difference.
03 / APPROVE A SAMPLE EXPORT

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

A clear path.
Defined responsibilities.

See what you can try here and what needs project work. Choose a file export or one bounded integration after checking your current tools.

  1. Bring in the document

    Scoped for your project

    Agree an inbox or upload route, approved document samples and the fields to extract with AI or an LLM.

  2. Check the values

    Try the validation demo

    Check that carton quantities are complete and consistent. The browser demo runs these rules on structured sample values.

  3. Resolve and review

    Local demonstration

    Correct the sample values and explicitly approve them. A production review queue, user access and audit history are scoped separately.

  4. Prepare the destination

    Sample CSV available

    Download an approved sample CSV from the demo. A WMS or ERP connection needs agreed mapping, system access and testing.

Your team brings

A receiving-process owner, approved sample documents and expected values, plus a system owner if a destination needs access.

We agree together

Field mapping, exception rules, approval steps, export format or API scope, data handling and pilot acceptance criteria.

Before production

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

Put the assumptions
in the open.

Estimate the capacity a document workflow could release. Then evaluate cash costs separately, using evidence from your own operation.

Your inputs stay in this browser. Nothing is sent or saved by this worksheet.

Changes the label only. No exchange-rate conversion is applied.

01 Workflow and staff capacity

Use a comparable case mix. Time means total staff handling across all people involved, including checking and correcting the output.

For example, delivery notes processed in a typical month.

Minutes, including entry, checking and corrections today.

Enter 0–100. Other cases keep their current handling time.

Minutes, including review, corrections, exceptions and any remaining manual work. Validate this assumption in a pilot.

Used only to value capacity; it does not imply a reduction in payroll.

02 Add a separate cash-cost scenario Optional

Complete all three cost fields, using 0 where appropriate. Leave the entire section blank to calculate capacity only. Closing this section keeps its entered values.

Include setup, integration and one-time internal delivery costs.

Include model usage, hosting, licences, support and monitoring. Count each cost once.

Only costs you can actually remove, such as a cancellable processing fee or evidenced overtime. Enter 0 if none.

Required for a positive cash reduction. Record the source and which cost can be removed. Do not include sensitive information.

The worksheet cannot verify this evidence. Capacity value is never added to cash benefit, so the two are not counted twice.

One scenario, based on your assumptions. No guaranteed outcome.

The first paid engagement

Clarity before
implementation.

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.

Understand the current work

  • Map the receiving workflow and its owner
  • Establish volume, handling effort and exception patterns
  • Check what your existing tools already solve

Evaluate representative samples

  • Agree document types, fields and business checks
  • Review variability and where staff decisions are needed
  • Identify data-handling and integration requirements

Leave with a delivery decision

  • Define measurable pilot acceptance criteria
  • Set the scope, prerequisites and responsibilities
  • Receive findings and a separately priced pilot proposal

What we need from your team

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

Small enough to test.
Useful enough to decide.

Agree the scope and the evidence needed before building. Planning range: 4–6 weeks, subject to complexity, access and client review time.

01 workflow
One team and one receiving process.
Up to 02 document types
Agreed layouts, fields and validation checks.
01 destination
A scoped system integration or export.

What the pilot can include

Source-linked extraction, explicit checks, an exception-review queue and one constrained AI assistant behaviour where useful. Staff approve operational updates.

What we measure together

Correctness, exception handling, staff effort, turnaround and operating cost. Compare the results with the baseline and agreed acceptance criteria.

What comes after

Use the evidence to decide on rollout. Production access, monitoring, failure handling, training and support are scoped separately.

AI & LLM assistance

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.

Data security

Agree data access, hosting, retention, and model-provider handling before implementation. Define who can view documents and approve actions within the scoped workflow.

Data integrity

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 few practical answers.

A useful fit is a recurring document workload, a clear operational consequence and a team able to review the results.

Will this work with our WMS or ERP?

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.

Which documents can we start with?

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.

What should we bring to the first call?

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.

How do you handle data security and LLM providers?

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.

What happens when the AI output is wrong or incomplete?

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.

What does the first engagement cost?

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.

Start with one workflow.

Request a discovery call