S02-C02 · BUSINESS & ENTREPRENEURSHIP

Local Business Growth with AI

Build a practical lead intake, qualification and follow-up automation with Make, Google Sheets, Gmail and human-reviewed AI—without handing critical customer decisions to a black box.

8 substantive modules15 nominal learning hours1.5 ARQS Mastery CreditsWorkbook + 20-question assessmentPractical capstone

Join ARQS AI Academy Open Student Portal Master Catalogue

WHAT YOU BUILD

A revenue-ready lead response system.

The course moves from workflow selection and data design to rule-based scoring, safe AI triage, Gmail draft creation, failure handling, measurement and controlled rollout. Learners work with synthetic data first and preserve a human review path for consequential or ambiguous cases.

MODULE 1

Choose the Right Growth Workflow

Use the R-D-R-R test—repetitive, digital, rule-driven and reversible—to identify an automation candidate worth building.

MODULE 2

Design the Lead Data Contract

Create clean fields, controlled values, ownership and synthetic test records before connecting any automation.

MODULE 3

Build the Make Scenario Backbone

Watch new lead rows, map fields, test with Run once and establish the base workflow.

MODULE 4

Validate, Score and Route Leads

Build transparent scoring and HIGH, MEDIUM, LOW and REVIEW routes with a fallback path.

MODULE 5

Add Human-Reviewed AI Triage

Use AI for bounded summarization and classification while preserving source text and uncertainty.

MODULE 6

Draft Follow-Up with Gmail

Create route-specific customer drafts using validated data and a draft-first approval pattern.

MODULE 7

Make the Automation Reliable

Handle retries, incomplete executions, duplicate prevention, validation failures and rate limits.

MODULE 8

Measure, Govern and Scale

Run a controlled pilot, compare response metrics, version changes and modularize reusable components.

CAPSTONE

Build and demonstrate the full lead-response system.

The final project requires a working intake-to-follow-up workflow using synthetic records, a manual-review route, transparent lead scoring, draft creation, write-back status, duplicate protection and tested failure recovery.

Five mandatory test records, including missing and ambiguous data.
Evidence of expected routing and safe fallback behaviour.
Pilot scorecard with baseline and target metrics.
One-page operator SOP naming the workflow owner and recovery steps.

Credential truth: ARQS Mastery Credits are internal, non-academic learning units. They do not represent college or university credit, licensure, accreditation or government-recognized degree authority.