§ ▢ · SPECIMENPublic sample

What a SnapReport
actually looks like.

Below: a fictional Montreal plumbing company, the answers they gave the form, and the full report our team produced for them. Same process you'll go through. Same kind of report you'll get back.

Note: Acme Plumbing is invented for demonstration. No real customer data shown.
§ A

Company profile

Business
Acme Plumbing
Location
Greater Montréal · QC
Years operating
8 years operating
Team
12 employees · 2 owners
Industry
Residential plumbing & emergency repair
Approx. revenue
≈ $1.1M annual
§ B

The 10 answers they gave

Q01What does your business do, and how long have you been operating?+

We're a residential plumbing company in the Greater Montréal area. Mostly emergency repairs (leaks, blocked drains, water-heater failures) and some scheduled installs. Eight years in, second-generation family business — my dad started it.

Q02How many employees do you have? Are they local or remote?+

12 people total. Two of us own it (myself and my brother). Five field techs in service trucks, three apprentices, two office staff handling dispatch and billing, plus my brother who runs the field side.

Q03Walk us through a typical customer journey — from first contact to final delivery.+

Customer calls our main line OR fills out our website form. Office staff (Sylvie) takes the info, decides if it's an emergency or scheduled. For emergencies she radios the nearest tech. For scheduled jobs she books in Jobber. Tech arrives, diagnoses, gives a price verbally or via printed quote. Customer approves, work happens, tech logs hours in Jobber, then we invoice through QuickBooks two days later. Follow-up call from Sylvie a week after for satisfaction.

Q04What software or tools does your team use daily?+

Jobber for scheduling and tech dispatch. QuickBooks for billing and accounting. Google Workspace for email and calendar. A WhatsApp group for the field guys to coordinate. Excel for tracking inventory of parts in the trucks. Sylvie also keeps a paper notebook for callbacks.

Q05Where do most of your leads or customers come from right now?+

About 50% word of mouth — long-time customers and referrals. 30% Google search (we rank #2 for 'plombier Montréal urgence'). 15% Facebook ads my nephew runs for us. 5% the Yellow Pages still, somehow.

Q06What are your biggest bottlenecks?+

Answering the phone is the worst. We lose maybe 4-6 calls a day to voicemail when Sylvie is on another line, and a chunk of those don't call back. Sending quotes also drags — techs handwrite them and Sylvie retypes into Jobber later. Following up on unpaid invoices is a constant headache. Inventory in the trucks is a black box — techs run out of parts, drive back, lose half a day.

Q07Have you tried using AI or automation in your business before? What happened?+

Tried ChatGPT to write Facebook ad copy — works fine, saves time, but feels hit or miss. My brother tried a robo-call answering service last year that was terrible (customers hated it). Nothing else.

Q08On a scale of 1–10, how comfortable is your team with new technology?+

Office staff: 6. Owners: 7. Field techs: range from 3 to 8 depending on age. As a team, I'd say 5.

Q09What does success look like for you in the next 12 months?+

Hit $1.5M in revenue, hire 2 more techs without me working 60-hour weeks. Stop missing calls. Get our quote-to-cash cycle from 5 days down to 2.

Q10If you could automate one thing in your business tomorrow, what would it be?+

The back-and-forth scheduling with customers. Sylvie spends maybe 2 hours a day on phone tag — 'is Tuesday at 2pm good? no? how about Wednesday?'. If a customer could just book a slot online with the right tech, that's gold.

↓ Below: what our team produced and emailed them
SnapReport · AI Readiness
Issued · 2026.05.13

Acme Plumbing

Greater Montréal · QC · Residential plumbing & emergency repair
§ C

Executive summary

ES.01

Acme is well-positioned for AI: clear processes, an existing software stack (Jobber, QuickBooks, Google), and ownership that's already experimenting with ChatGPT.

ES.02

The single biggest leak is the phone — missed calls = lost emergency revenue. An AI receptionist + online booking pays for itself inside a month.

ES.03

Quote-to-cash cycle compression is the next-largest opportunity. Going from handwritten quotes to AI-drafted PDFs from the truck cuts admin time by ~50%.

§ D

AI Readiness score

Overall
62/100
Above SMB average (54)
Breakdown
Digital foundation70/100
Process maturity65/100
Team readiness55/100
Data quality50/100
Leadership buy-in75/100
§ E

Top 3 quick wins (≤30 days)

QW.01

AI receptionist for after-hours and overflow calls

Plug a voice agent (Retell, VAPI, or similar) into your main line as overflow. Triages emergencies, books slots in Jobber via API, transcribes the rest. Captures the 4–6 missed calls/day at roughly $200 average ticket.

Impact
High
Effort
Medium
Cost
≈ $80/mo + $0.08/min
ETA
2–3 weeks
QW.02

Auto-generate quote PDFs from tech voice notes

Tech speaks the job + parts into their phone after diagnosis. AI transcribes, generates a branded PDF quote, emails it to the customer and Sylvie within 90 seconds. Eliminates handwriting + Sylvie's retype step.

Impact
High
Effort
Low
Cost
≈ $20/mo (Anthropic API)
ETA
1–2 weeks
QW.03

Online booking embed on the website

Replace the contact form with a Cal.com (or Calendly) embed that respects tech availability + service area. Cuts the phone-tag scheduling that costs Sylvie ~2h/day.

Impact
Medium
Effort
Low
Cost
Free–$15/mo
ETA
3 days
§ F

Top 3 strategic plays (3–6 months)

SP.01

Predictive truck inventory from past job patterns

Mine 3 years of Jobber + QuickBooks data to predict what parts each tech needs to restock weekly. Cuts return-trips to the warehouse — recovers ~5h/week per tech.

ROI
≈ $30K/yr in recovered labor
ETA
2–3 months
SP.02

AI-drafted invoice follow-ups

Auto-draft polite collection emails based on invoice age + customer history. Owner approves with one click. Closes 60-day receivables ~2× faster.

ROI
≈ 8% improvement in cash-flow cycle
ETA
3–4 weeks
SP.03

French-language SEO content engine

Agent writes ~4 service-area landing pages per month ("plombier urgence Laval", "chauffe-eau Brossard"). Pairs with existing Google ranking; long-tail organic should 2× over 6 months.

ROI
Organic leads +50–100%
ETA
Month 2+
§ J

Effort × Impact

↑ Impact
Quick-win zone
QW.02Auto-generate quote PDFs from tech voice notes
QW.01AI receptionist for after-hours and overflow calls
SP.01Predictive truck inventory from past job patterns
SP.02AI-drafted invoice follow-ups
SP.03French-language SEO content engine
QW.03Online booking embed on the website
Low
Medium
High
Effort →
HighMediumLow
Quick WinStrategic Play
§ K

Financial impact

Run the math
$5,947
Net monthly value / mo
Hours/week reclaimed
14
h/sem
Hourly rate assumed
$100
/h
Monthly tool cost
$115
/mo

(Weekly hours × 4.33 × hourly rate) − monthly tool cost. We use a blended $100/hr unless you tell us otherwise.

§ L

4-day quick-win plan

Each day is one specific action — no more, no less. By Friday you've shipped your first quick win.

Day01

Create a Cal.com account and embed a basic booking widget on acmeplumbing.ca. Sylvie reviews on day 2.

Day02

Sign up for Retell AI trial. Set up an overflow agent to receive calls Sylvie can't answer in 3 rings.

Day03

Forward 3 missed calls from yesterday into Retell. Review the transcripts — sanity-check the bookings it tried to make.

Day04

Pick the most tech-comfortable tech, install a voice-quote app on his phone, do 2 real-world quotes with it.

§ G

Risk flags + mitigations

Sev
Flag
Mitigation
Medium
Field-tech adoption (3 of 5 score themselves under 5/10 on tech comfort).
Roll out voice-quote tool only after a 2-week pilot with the most tech-comfortable tech. Have him demo to the others. Voice-driven UX (no typing) lowers the barrier.
Medium
Customer pushback on AI receptionist (your brother's previous robo-call attempt failed).
Position it as 'overflow assistant', not the primary line. Sylvie still picks up first. AI only after 3 rings. Use a natural voice (11labs or similar), not a robo voice.
Low
Data hygiene — quotes are handwritten, not all flowing into Jobber.
QW.02 (voice-to-quote) fixes this structurally. Once quotes are AI-drafted they land in Jobber automatically.
§ H

Recommended tool stack

Tool
Purpose
Cost
AI receptionist + booking voice agent
$0.08/min
Voice-to-quote generation + email drafts
$0.50/quote avg.
Online booking, embeds in website
Free–$15/mo
Glue layer: Jobber ↔ QuickBooks ↔ AI tools
$9–29/mo
Invoice follow-up drafts, owner-approves-then-sends
$30–50/mo
§ I

Next steps

This week
  1. 01Pick one field tech (the most tech-comfortable) for the voice-to-quote pilot.
  2. 02Set up a Cal.com account and add a basic booking embed to acmeplumbing.ca this week.
  3. 03Forward the next missed call to a Retell trial agent. Listen to the transcript.
Within 30 days
  1. 01Wire Retell as Jobber-aware overflow. Measure missed-call recovery rate.
  2. 02Voice-to-quote rolled out to all 5 techs after pilot validates.
  3. 03AI invoice follow-ups running on 30–60 day buckets.
// END OF SPECIMEN

This was Acme's.
What would yours say?