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Zero Data Entry

18–22 hrs
weekly admin in a typical trades shop
Estimates, invoices, follow-ups, scheduling, and CRM updates consume nearly half a workweek before the real work starts
75%
CRM adoption failure rate
Three-quarters of implementations collapse because data entry becomes a second job — field teams stop using the system
4–5 clicks
to log a single field update
"Every action taking 4–5 clicks when they should be one" — Salesforce SMB reviewer on why complexity kills adoption

AI & Automation Design — Last Updated: 2026-05-15

The CRM should update itself.

The #1 reason CRMs fail is that nobody fills them in. Field crews don't have time to type between jobs. The software becomes a ghost — paid for, opened occasionally, trusted by nobody.

The solution isn't better training. It's removing the requirement to enter data at all. Every signal the field generates — location, photos, time, audio, receipts — is already enough to keep the CRM current. The tech does the job. The system watches, interprets, and records. The human only touches it when the machine isn't sure.


Automatic Signals & What They Determine

Every action a field tech takes emits a signal. Here's what each signal determines automatically — and what the fallback is when confidence is low.

Signal SourceWhat AI Determines AutomaticallyFallback (low confidence)
Phone GPS (live) — Always-onWhich project the tech is currently at. When they arrived. When they left. Total time on site.GPS matches multiple nearby projects → notify tech to confirm which one.
Photo EXIF GPS — Per photoWhich project a photo belongs to. Whether it's inspection, progress, or completion based on project stage.GPS doesn't match any known project → show 2–3 nearest projects → tech taps one.
Photo AI Vision — Per photoPhoto type (roof, interior, exterior, receipt, material). Project stage (before/during/after). Damage or condition visible. Materials present.Low-confidence classification → tagged as "unclassified" for review. Tech can relabel in one tap.
Receipt Photo (OCR) — On demandVendor name, amount, line items, date. Cross-referenced with GPS at photo time → matched to nearest active project as an expense.GPS not near any project (e.g., supply store off-route) → show list of active projects → tech selects one.
Geofence Entry/Exit — Always-onClock-in when tech enters a job site radius (50–100m). Clock-out when they leave. Time entry created automatically on the project.Brief entry/exit (under 5 min) → not logged. Ambiguous location → tech gets a nudge: "Were you at [Project Name]?"
Video Audio — Per videoTasks mentioned. Notes and observations. Materials or issues called out. Customer mentions (if customer is present).Transcription exists but AI didn't extract structured data → raw transcript stored, flagged for review.
Calendar / Schedule — BackgroundWhich project a tech is expected to be at right now. Boosts GPS match confidence when tech is on-schedule.Tech at unscheduled location → prompt to log it as a new visit or associate with a project manually.
Tech Identity — LoginWhich crew member created every photo, receipt, time entry, and note. Labor cost rate for time tracking calculations.Shared device → prompt for quick "who's this?" selection at app open.
Call Transcripts — Digital ReceptionistContact details. Project mentioned. Appointment booked. Follow-up required. Personal details to store in relationship memory.Unknown caller → new contact created. Contractor reviews and merges if duplicate.

Receipt Photo Capture

Photo a Receipt → Expense Logged Auto + 1-tap confirm. Tech takes a photo of any job-related receipt. System does the rest.

StepAction
CaptureTech taps "Receipt" in the app and takes a photo. That's the only required action.
OCRAI extracts: vendor name, date, total amount, line items from the receipt image.
GPS MatchSystem checks GPS at the moment of capture. If within range of an active project → expense auto-assigned.
ConfirmTech sees: "$142.50 at Home Depot → assigned to 123 Oak Street." Tap confirm or select a different project.
LoggedExpense appears on the project timeline and rolls up to the project cost summary. No typing.

When GPS Doesn't Match

Receipt was taken at a supply store between jobs — no nearby project. System shows the tech's 3 most recent active projects. One tap selects. The receipt is still fully extracted; only the project assignment required human input.


GPS-Based Time Tracking

Arrive at Site → Timer Starts Automatically Fully automatic. No clock-in button. No forgetting. Time is captured from the moment they show up.

StepAction
Geofence InTech's phone enters a 75-meter radius around a project address → timer starts silently.
NotifyPush notification: "Timer started — 123 Oak Street. Tap to review." One tap if they want to adjust, or just ignore it.
Geofence OutTech leaves the radius → timer stops. Time entry saved to the project with tech identity, start, end, duration.
Labor CostTime × tech's hourly rate → calculated and added to project cost automatically.

Edge Cases Handled

  • Drive-by (under 5 minutes) → not logged. Threshold is configurable.
  • Lunch break on-site → tech can split or pause from the app. Or just leave it — owner can review.
  • Multiple techs at same site → each tracked independently from their own device.
  • No GPS signal → last known location held, flagged for review when signal returns.
  • Tech forgets to carry phone → manual override always available from the project page.

Automatic Photo Routing

Take a Photo → It Lands in the Right Project Auto + 1-tap fallback. No tagging, no folders. Photos go to where they belong based on where they were taken.

Confidence Ladder

ConfidenceThresholdBehavior
HighGPS matches exactly one active project within 50mAuto-assigned, no prompt.
MediumGPS matches 2–3 nearby projects or confidence is 70–90%Shows top match with one-tap confirm. "Is this for 123 Oak Street?" Yes / No.
LowNo GPS match, or confidence below 70%Shows list of tech's active projects. Tech picks one. Still one tap.

AI Vision Classification

After routing, AI analyzes the photo and tags it automatically:

  • Stage: Before (inspection) / During (progress) / After (completion)
  • Subject: Roof, siding, foundation, interior, material, equipment, receipt
  • Condition: Damaged, repaired, new, clean
  • Notes extracted: If a measurement or label is visible in the photo, AI reads it

Live Team Location Map

See Every Tech on a Map in Real Time Always-on. Owner or office sees where everyone is without calling anyone.

  • Each tech shown as a pin on a map with their name and current project
  • Pin color shows status: on-site (green), driving (blue), idle (grey)
  • Tap a tech to see their today's timeline: arrived at X, left Y, currently at Z
  • Alerts if a tech has been idle at an unknown location for more than 30 minutes

The One-Tap Rule

Every feature follows the same design rule: AI makes the best determination it can. If it's confident, it just acts. If it's not sure, it shows the most likely answer and asks for a single tap to confirm or correct.

There is no scenario where the tech is asked to type anything. The choices are:

  • Nothing — AI was confident. It handled it.
  • One tap — AI showed its best guess. Tech confirms.
  • One selection from a short list — AI wasn't sure. Tech picks from 2–4 options.

No forms. No dropdowns with 30 options. No "please enter project code." The rule is never broken.


What Never Requires Manual Entry

  • Time on site — GPS geofence handles it
  • Which project a photo belongs to — GPS + AI handles it
  • Receipt amount, vendor, items — OCR handles it
  • Photo stage (before/during/after) — AI vision handles it
  • Tasks from field video — audio transcription handles it
  • New contact from a call — digital receptionist handles it
  • Project created from new job site photos — GPS + reverse geocode handles it
  • Labor cost per project — time tracking × rate handles it
  • Which tech was on-site when — phone identity + geofence handles it

Open Questions

  • Geofence radius — 50m, 75m, or configurable per project?
  • Minimum dwell time before logging a visit (currently proposed: 5 minutes)
  • Receipt OCR — build in-house (Claude Vision) or use a dedicated service (Veryfi, Taggun)?
  • How does time tracking handle overnight or multi-day jobs?
  • Does the owner see live GPS at all times, or opt-in per tech?
  • Privacy — do techs know they're being tracked? (Likely yes — document consent flow)
  • What's the fallback for techs without smartphones?