Every useful change starts with a real job

The call after closing still has a next step.

After-hours inquiries sit in voicemail until the next morning.

Illustrative scenario: 20 eligible after-hours inquiries × a 40% booking rate. A planning example, not a measured result.

The build

An AI receptionist captures the job, checks approved service rules and sends a structured handoff to HubSpot.

1. Capture the caller’s request and preferred callback time.
2. Check service area and approved job types; urgent issues go straight to the agreed human route.
3. Offer approved booking options and create the CRM record.
4. Track eligible inquiries, completed bookings and missed handoffs.

A promising inquiry doesn’t get lost in a tab.

The team copies incoming leads between inboxes, spreadsheets and a CRM.

Illustrative workload: 120 inquiries × 7 minutes of manual handling = 14 hours. Actual time saved depends on review and exceptions.

The build

A connected inquiry workflow uses Make to prepare CRM records, draft approved replies and flag exceptions for review.

1. Capture the same essential fields from every inquiry.
2. Match existing contacts before preparing a new CRM record.
3. Draft the approved next step and route exceptions to the owner.
4. Compare handling time and reply speed with the pre-build baseline.

Less retyping. More time to check what matters.

Completed job forms have to be retyped before the books can be updated.

Illustrative volume: 20 forms each weekday. This is a sample operating scenario, not a client performance claim.

The build

A document workflow extracts key fields, flags missing details and prepares a QuickBooks handoff after human approval.

1. Read the agreed job-form format and preserve the source.
2. Extract reference, date, work completed and relevant amounts.
3. Flag duplicates, missing fields and low-confidence values.
4. Send only approved records to the agreed destination.