04 Systems Lab  Demonstration

Working systems, shown with their workings.

The Lab shows how proposed workflows behave on example data. Everything here runs on synthetic data describing a fictional business. Simulation is labelled simulation, in the headings and in the numbers, and nothing in this room is a client result.

Invoice follow-up is one example in the operations toolbox. The production and inventory prototype is a separate local synthetic demonstration.

System 01

Invoice follow-up, operated end to end.

This demonstration explores a common billing task: deciding which unpaid invoices need attention and preparing a follow-up list. The system reads the invoice register, stages every unpaid balance by how late it is, prepares the appropriate follow-up as a draft, and stops. In this simulation, nothing is sent. Any real deployment requires owner review and current payment checks.

This browser simulation demonstrates invoice classification, partial balances and repeat-run handling. Operate it: open the Register, mark INV-2409 paid, run the cycle again and open Drafts. Its simulated draft is removed from the active list and the totals change. In the current workflow code, old email drafts are flagged for the owner to inspect and remove manually. The simulation does not control Gmail or prevent manual sending.

SYSTEM 01 · OPERATING DEMONSTRATION Synthetic data only
Not run yet

The register: Danforth Mechanical Services, synthetic

Thirteen synthetic invoices for a fictional Toronto mechanical services business, invented for this demonstration. The run date is fixed at November 7, 2026, the date of the verified test run, so the figures reconcile to the dollar. Use Mark paid to record a payment, exactly as the business's own register would change between weekly runs, then run the cycle again.

InvoiceClientDueAmountPaidBalanceStatusRecord a payment

All names, addresses, and figures on this page are synthetic. The .example addresses use a reserved example domain and are not delivery addresses.

VERIFIED RESULTS · REFERENCE IMPLEMENTATIONSynthetic data only

The figures below are the tested reference implementation's own results on this same register, verified in its test report, and reproduced here exactly. The operating demonstration above runs the same rules in your browser and reconciles with them. Eleven invoices carried unpaid balances totalling $14,525; eight balances totalling $11,350 were past due at the run date, including one disputed invoice of $2,275.

Measure (simulated)ResultNote
Drafts prepared for owner approval8Covering balances of $10,090
Overdue money placed under active follow-up$9,075The disputed $2,275 is deliberately excluded
Phone tasks created3One with no email address, two at the final-notice stage
Follow-ups correctly not prepared3Two already paid, one disputed
Owner time per weekly cycle, manual process154 minEstimate on stated assumptions: 4 min per invoice check, 10 min per written follow-up, calls in both
Owner time per weekly cycle, with the system52 minEstimate: 6 min reading the summary, 2 min per draft approval, same calls
Simulated difference102 minAbout two thirds of the follow-up administration, roughly 7.4 hours a month. An estimate, not a measurement

What this simulation does not show: that customers pay faster. The dataset is static, so no payment behaviour changes inside it. Whether follow-up discipline shortens the wait for payment at a real business is measured during a real engagement, against that business's own baseline, over sixty days.

Further workflow concepts

Inquiry intake and follow-up.

The second system in the toolkit addresses the missed inquiry: messages arriving by form, email, and phone, answered late or not at all, with no single record of who asked what. The design mirrors the first system's discipline: capture everything into one queue, classify it, draft responses for approval, and flag whatever waits too long.

Status: demonstration in development. Inquiry intake remains a development concept here. No live intake automation or client result is presented on this page.

What remains untested, stated plainly

  • The local reference and Google Apps Script code have offline tests. The revised Google script has not yet been executed and verified inside the intended Google account. A Make scenario has not been built.
  • Real ledger reconciliation. The synthetic data is clean except where testing deliberately dirtied it. A real engagement begins by reconciling the client's actual list, and that work is untested at scale.
  • Real-world delivery: sending behaviour, deliverability, customer response, and any change in how fast real invoices get paid. None of that exists yet, because no client engagement has taken place.
  • Inquiry intake has not been delivered to, or measured at, a real business in the evidence presented here.