Practical AI intelligence for service businesses

Make the AI decision before the AI purchase.

Inquory publishes practical AI intelligence, tools, and operating guidance for Canadian service businesses. Every recommendation is designed to show its assumptions, evidence, limits, and next test.

Test an AI workflow See how the evidence works

Published practical tool

Model the economics before committing to the automation.

The AI Automation ROI Calculator models recovered leads, gross-profit opportunity, labour capacity value, recurring and setup cost, sensitivity, and fixed-cost break-even from values you control. It runs in the browser without a login, analytics, database, or share state.

Published 2026-08-10 · Estimates, not guaranteed outcomesOpen the ROI calculator

New practical guide

Choose the workflow before choosing the model.

Screen a first AI automation for bounded inputs, checkable output, reversibility, contained failure, minimal data, and a fair non-AI comparison. Then use the fictional walkthrough and no-data worksheet to define a test—or reject it.

Published 2026-09-09 · Canadian context · No product recommendationRead the first-workflow guide

Operating questions

Three checks before an AI workflow earns a place.

Start with economics, inspect how the conclusion was produced, and keep accountability visible when facts change.

01 · EconomicsCan the workflow clear a transparent break-even test?Use the calculator 02 · EvidenceWhat supports the claim, and what remains untested?Inspect the editorial method 03 · AccountabilityWhat happens when a material fact or formula is wrong?Review the corrections process

Methodology

The evidence stays attached to the decision.

Inquory distinguishes calculation from observation, labels AI assistance, records important limitations, and does not turn a draft, vendor claim, or model output into proof.

Inspect the assumptions

Inputs, formulas, and evidence boundaries remain visible instead of disappearing behind a score.

Separate evidence from inference

Documentation, testing, calculation, and unverified operating assumptions receive different labels.

Keep the correction path open

Material errors have a monitored public channel and a documented review-and-correction process.

Editorial method How Inquory uses AI Publisher accountability Corrections

New operations guide

AI Lead Qualification for Service Businesses: An Intake Checklist With Human Review

A proposed intake checklist for service businesses: review extracted facts, apply explicit rules and reconcile CRM writes.

Operations guide

AI Appointment Scheduling for Field Services: Constraints Before Conversation

A proposed booking method for home-service businesses: check constraints, reconcile uncertain writes and confirm only a verified appointment.