AI workflows: the work behind the work
Answering the phone is the front door. Behind it sits the actual grind — the copying, the chasing, the re-typing, the "did anyone follow up on this." That's where most small businesses lose hours nobody bills for.
FloIQ automates that layer too. Not with a platform you have to learn — with agents that do the specific thing you're doing by hand.
Intake to system, automatically. The call happens, the details land in your CRM, your scheduler, your work-order system. Nobody re-types anything. Nothing gets lost between the phone and the software.
Documents that chase themselves. Certificates of insurance, W-9s, signed estimates, vaccination records, license renewals — requested, tracked, and followed up on until they arrive, without you remembering to ask twice.
Follow-ups that actually happen. The quote you sent Tuesday, the estimate nobody responded to, the customer who said "call me next month." Tracked, surfaced, and drafted for your approval before they go cold.
Scheduling and confirmation. Appointment requests captured, confirmations sent, reminders that cut no-shows, reschedules handled without a phone-tag loop.
Hiring, without the black hole. Post a job for a technician and you'll get fifty applications, half unqualified, and the one person you wanted took another offer because nobody called them for a week. An agent calls every applicant back the same day — the single biggest thing separating you from the shop down the road. It asks the screening questions that matter for the role: license, years, tools, record, transportation, shift availability. Captures answers consistently, so you compare candidates on the same criteria. Then hands you a short list, not a stack — the ones who cleared the bar, with their answers. And it keeps the rest warm; the decent candidate you didn't hire this month is the one you'll want in six. The agent screens and reports. You decide. No one gets hired or rejected by a machine.
Review and reputation. The happy customer asked at the right moment — right after a good job, not three weeks later.
Reporting you'd never build yourself. What came in, what got booked, what got missed, what it was worth — in your inbox every morning instead of a spreadsheet you keep meaning to update.
Vendor and renewal watch. Subscriptions, licenses, insurance renewals, recurring orders — surfaced before the lapse, not after.
Collections, politely. Invoices aging past terms, drafted follow-ups, escalation when warranted — the conversation nobody enjoys, handled consistently.
Onboarding a new customer or client. The welcome, the paperwork, the setup steps, the check-in — same experience every time, without depending on who's having a busy week.
The pattern: every one of these is something a person is doing right now, by hand, inconsistently, when they have time. The value isn't that AI does it faster — it's that it happens every time.
Where to start: most operations have two or three of these eating real hours. Our Enterprise engagement begins with an audit that finds them — what's costing you, what's automatable, and what the return actually looks like before you commit to anything.
