What is AI worth to your shop?
No vendor stats, no inflated percentages. Put in your own numbers and see a directional result — then scroll for real before/after examples. You decide if it's real.
Estimating — takeoff time & bid volume
How this is figured
- Hours back / month = hours per takeoff × bids × time taken off
- Extra bid capacity = hours back ÷ the new (faster) hours per takeoff
Directional result
~17 hrs
back every month
~202 hrs
back every year
~3.2
more bids/mo of capacity
Read this before you quote it
A directional estimate from your own inputs — not a guarantee. The hours and dollars only count if you actually reclaim them. AI drafts; you still own pricing, safety, technical sign-off, and every customer decision.
Proof examples
Real before/after framing from trades workflows — assumptions on every card, because honest ROI shows its work.
Faster takeoffs, more bids out the door
AI drafts scope/inclusions and sanity-checks takeoff quantities; the estimator verifies every number.
Before · Per takeoff
~8 hrs · 6 bids/mo = 48 hrs
After · Per takeoff
~5 hrs · ~18 hrs/mo back
≈18 hours a month reclaimed — roughly 2–3 more bids out without adding headcount.
- Assumes ~35% of takeoff prep is draftable/checkable by AI — you verify every quantity.
- Hours only count if you reinvest them; AI never changes a number on its own.
24-hour bid turnaround
AI assembles proposal cover, scope, and follow-up so first drafts go out same-day.
Before · Turnaround
~5 days to first draft
After · Turnaround
~24 hrs to first draft
Faster, more complete bids tend to win more — track your own win rate before/after.
- Win-rate lift is not guaranteed and depends on your market and pricing.
- Pricing and final scope stay yours — AI drafts, you decide.
Missed calls stop going cold
Missed-call textback auto-replies so the lead doesn't dial your competitor next.
Before · Recovered
12 missed calls/wk · $0 captured
After · Recovered
~30% booked × $450 ticket
≈$80k/yr in recoverable work from leads that used to vanish after hours.
- Your booking rate and average ticket — not every missed call is a real job.
- The text buys time; a human still books the job and confirms the price.
Catch overruns weeks earlier
Weekly AI job-cost / P&L drift review flags variances while the job is still open.
Before · Caught at
job close (too late)
After · Caught at
weekly review
One 5% overrun caught early on a $200k job ≈ $10k saved — directional, you verify the cause.
- AI surfaces drift from numbers you supply; it doesn't source or invent figures.
- Causes are hypotheses to confirm in your job-cost data, not findings.
Shorter AR cycle
Tiered, age-appropriate follow-ups are AI-drafted and human-sent, so reminders never slip.
Before · DSO
~52 days
After · DSO
~45 days
7 days faster on $300k of AR frees ≈$5.7k of working capital — and it compounds.
- Amounts and due dates come from your accounting tool — AI never invents them.
- Disputed/large balances escalate to a human; collections keep a person in the loop.