Sample Report. Example Only.
AI Business Assessment Report

ABC Plumbing Melbourne

A fictional example demonstrating the depth, clarity, and practical recommendations included in a Santai Labs assessment.

Prepared by
Santai Labs
Clarity Before Investment
01
Executive Summary

The clearest opportunities are in response speed, follow-up, and operational visibility.

ABC Plumbing Melbourne is an established plumbing business serving residential and commercial customers across Greater Melbourne. The business has a capable team, steady enquiry flow, and a strong local reputation, but growth is being constrained by manual coordination and inconsistent lead management.

The assessment identified avoidable leakage between the first customer enquiry and confirmed booking. Missed calls, incomplete website submissions, manual quote follow-up, and limited source tracking make it difficult to respond consistently and understand which activities produce profitable work.

The highest-impact opportunities are to recover missed calls, centralise enquiry and quote follow-up, improve customer information capture, and introduce simple retention workflows. These improvements should be addressed before investing in more advanced AI.

02
Business Snapshot

An established service business preparing for more controlled growth.

Industry
Residential and commercial plumbing
Team size
12 people
Revenue range
AUD $1.5M–$2M
Service area
Greater Melbourne
Business goals
Improve lead conversion, reduce admin, and grow maintenance revenue
03
Lead Generation Findings

Good enquiry volume is not yet supported by a reliable capture and response system.

Missed calls are not consistently recovered

After-hours and peak-period calls rely on customers leaving a voicemail. There is no immediate SMS response or structured callback workflow, increasing the risk that urgent enquiries contact another provider.

Website enquiries lack context

The current form captures basic contact information but not job type, urgency, suburb, or preferred appointment time. Staff must gather these details manually before triage can begin.

Lead sources are not visible

Phone, website, referral, and paid campaign enquiries are not consistently tagged. This limits the business's ability to compare lead quality and marketing return.

04
Sales Conversion Findings

The largest conversion gap appears after the initial enquiry and before a confirmed booking.

Quote follow-up depends on individual memory

Larger quotes are followed up inconsistently, with no shared schedule or alert when a customer has not responded.

No clear view of conversion by job type

The business cannot easily compare conversion rates for emergency work, maintenance, installations, and larger quoted projects.

Booking friction creates avoidable delays

Customers often move between phone, email, and SMS before an appointment is confirmed. A more structured booking process would reduce back-and-forth communication.

05
Customer Retention Findings

The existing customer base could generate more repeat work, reviews, and referrals.

Repeat work is largely reactive

Customer records exist, but there is no consistent process for maintenance reminders, hot-water service follow-up, or seasonal outreach.

Review requests are inconsistent

Technicians may ask satisfied customers for reviews, but the timing and wording vary and completion is not tracked.

Referrals are valuable but unmanaged

Word-of-mouth is a strong source of work, yet customers are not systematically prompted or thanked for referrals.

06
Administrative & Operational Findings

Manual coordination is consuming capacity that could support customers and growth.

Job information is re-entered

Customer and job details are copied between enquiry notes, calendars, technician messages, invoices, and spreadsheets.

Scheduling requires frequent manual coordination

Office staff spend significant time confirming technician availability, customer access, job urgency, and changes throughout the day.

Management reporting is assembled manually

Weekly visibility into enquiry volume, quote status, response times, and job outcomes depends on information being collected from multiple systems.

07
AI & Automation Opportunities

Prioritise simple, measurable improvements before more advanced automation.

Opportunity
Missed-call recovery workflow
Business impact
Respond immediately by SMS, capture job details, and alert the office team so fewer urgent enquiries are lost.
Estimated effort
Low
Priority
High
Opportunity
Central enquiry and follow-up pipeline
Business impact
Create one view of new leads, booked work, open quotes, follow-ups, and outcomes across phone and website channels.
Estimated effort
Medium
Priority
High
Opportunity
Automated quote follow-up
Business impact
Prompt customers at appropriate intervals and notify staff when a quote requires personal attention.
Estimated effort
Low–Medium
Priority
High
Opportunity
Review and referral workflow
Business impact
Increase review consistency and create a repeatable referral request after successful job completion.
Estimated effort
Low
Priority
Medium
Opportunity
Customer maintenance reminders
Business impact
Generate repeat work through service reminders for eligible customers and installed equipment.
Estimated effort
Medium
Priority
Medium
Opportunity
AI-assisted enquiry triage
Business impact
Classify job urgency and type from submitted information to help staff prioritise responses during busy periods.
Estimated effort
Medium–High
Priority
Future
08
Quick Wins

Practical actions for the next 30 days.

01

Add job type, suburb, urgency, and preferred contact time to the website enquiry form.

02

Create an immediate missed-call SMS response with a clear callback expectation.

03

Introduce a shared quote follow-up list with owners and due dates.

04

Standardise the review request message and send it after successful job completion.

05

Tag every enquiry by source and record whether it became booked work.

09
90-Day Improvement Roadmap

A staged plan that fixes leakage before adding complexity.

Days 1–30

Fix immediate lead leakage

Improve enquiry capture, activate missed-call recovery, standardise quote follow-up, and begin tracking lead sources.

Days 31–60

Create operational visibility

Consolidate the enquiry pipeline, define job and quote stages, assign ownership, and introduce a simple weekly performance view.

Days 61–90

Build repeatable growth systems

Launch review, referral, and maintenance reminder workflows, then assess where AI-assisted triage provides a practical return.

10
Estimated Impact

Indicative improvement potential if the priority actions are implemented.

8–12 hrs
Potential time saved per week

Across enquiry handling, follow-up, scheduling coordination, and reporting.

10–20%
Potential lead improvement

Through faster response, missed-call recovery, and more consistent follow-up.

$75k–$150k
Indicative annual revenue opportunity

From recovered leads, improved quote conversion, and additional repeat work.

Disclaimer: All estimates are indicative only and are not guaranteed. Actual outcomes depend on implementation quality, team adoption, lead volume, market conditions, pricing, capacity, and other business factors.

11
Recommended Next Steps

Focus first on the systems that protect revenue and create visibility.

  1. 1

    Implement missed-call recovery and improve website enquiry capture.

  2. 2

    Create a central pipeline for enquiries, bookings, quotes, and follow-up.

  3. 3

    Define ownership, timing, and escalation rules for every open opportunity.

  4. 4

    Introduce consistent review, referral, and maintenance reminder workflows.

  5. 5

    Review results after 60–90 days before considering advanced AI triage.

Clarity Before Investment

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