Hurst, TX
AI Intake Automation for Hurst TX Practices
There is a version of intake automation that works and a version that quietly creates more work than it removes, and the difference is almost never the software. It is whether anybody decided, in advance, what happens to the information after it is collected.
Book a Demo
Hurst offices that get this wrong end up with a tidy queue of well-captured inquiries that somebody transcribes by hand into the system that actually runs the practice. The typing moved. It did not disappear.
Cleod9's AI Voice Concierge, which also powers the website chat, handles the collection side: it asks the questions you defined, books where your rules allow, captures what you need, and hands off to a person for anything requiring judgment. What follows is written around the handoff rather than the collection, because that is the part offices underestimate.
Follow one intake all the way through
Before choosing anything, trace a single new inquiry through your office as it works today. Not the idealized version, the real one.
Somebody calls or submits a form. Where does that land? Who sees it first, and how quickly? What do they do with it, keystroke by keystroke? How many separate systems does the same information get typed into? At what point does it become an appointment, and who makes that happen?
Most offices doing this exercise discover the same two things. The same details are entered two or three times in different places. And there is a step that depends entirely on one person knowing to check something, with no fallback if they are out.
Automation applied without that map tends to speed up the first step of a process whose bottleneck is at step four.
What can be collected without a person
More than most offices expect, and all of it is the tedious part.
Contact and identity details. Name, date of birth, address, phone, email. Nobody needs professional judgment to take these and the person supplying them will do it more accurately than a rushed phone call allows, because they are reading rather than reciting.
Insurance or billing information. Carrier, member number, group number, or whatever your equivalent is. This is where transcription errors concentrate when taken by voice, and where self-entry produces the clearest improvement.
Category and preference. What kind of appointment or matter, whether they are new or existing, when they would prefer to come in, how they want to be reached.
Practical context. How they found you, whether they were referred and by whom, whether they need anything accommodated.
What should not be
The narrative. Symptoms and history in a medical office, the facts of a dispute in a law office.
Two reasons, and the second matters more than the first in practice.
The boundary reason is the obvious one. A system collecting symptom detail begins to resemble triage, and a system collecting dispute facts begins to resemble case evaluation. Neither is intended and both create the impression that somebody described their situation and got a response.
The storage reason is quieter. Everything collected becomes a record the office owns and has duties around, sitting in a transcript or a recording. In a law office there is a sharper edge: information a prospective client shares can carry confidentiality obligations even where the firm never takes the matter, so someone narrating facts adverse to an existing client creates a problem before anyone has read it.
Ask for the category, not the description. You lose nothing that routing needs and you avoid both problems entirely.
The handoff is the whole thing
Decide these four before launch, because no configuration substitutes for them.
Where does captured intake arrive, in a form somebody actually opens? Not a folder nobody looks in.
Who owns it, by role rather than by name, and by what time each day?
What is the maximum acceptable gap between capture and action, and does that gap change for a new inquiry versus a routine reschedule?
What happens when that person is out? Every process with a single human dependency and no fallback fails during the week somebody takes leave.
Cleod9 integrates with Salesforce, HubSpot and Zoho. If your Hurst office runs on a vertical practice or case management system instead, ask Cleod9 to confirm that integration explicitly before planning around it. A vendor who says they would need to check is giving you a useful answer. An assumption discovered after migration is expensive to unwind.
Where no integration exists, be honest about the retyping step rather than pretending it away, and decide who does it and when. That is still a better position than voicemail, but it is a different business case and worth costing accurately.
Booking versus capturing
Two possible endings, and both are legitimate.
Direct booking suits unambiguous cases: an existing client or patient, a routine appointment type, a standard duration. The person leaves with a confirmed time, which behaves very differently from a submitted request in terms of whether they turn up and whether they keep looking elsewhere.
Capture and confirm suits anything needing a human eye. New clients whose details require verification. Appointment types whose length depends on the reason. Anyone whose calendar has constraints a rule cannot express.
Begin with capture only, read transcripts for a month, then enable booking for the two or three types that turn out to be genuinely routine. Tightening after a scheduling mess is harder than loosening after a quiet start, and the people caught in the mess remember it.
The boundaries, as a specification
A medical practice: no assessment of symptoms, no advice about medications, no view on whether something can wait or warrants an emergency room. Where urgency is needed for routing, ask the patient how soon they feel they need to be seen, which puts the judgment with the person who knows. The greeting opens by telling anyone facing an emergency to hang up and dial 911, before any other question.
A law office: no legal advice, no opinion on whether there is a case, no fee quotes beyond published consultation pricing, no predictions about outcomes, nothing implying the firm has taken the matter, and no case substance before conflicts are run.
An out-of-band question is a handoff trigger, not something to answer carefully. Have a clinician or a partner read the finished script and strike anything that drifts. This page is operational guidance rather than legal or clinical advice.
Reaching a person
Visible from the start, and working immediately when used. Offer it proactively when somebody asks something the system should not answer, when they repeat themselves, and when anything suggests urgency.
On the website side, the Kite Contact System connects a visitor to an available person by chat, audio or video from the browser with nothing to install on either end. On the phone side, transfers follow the rules you set.
Be honest about availability in both. If nobody is free, say so at once, offer a callback with a specific window, and take the details. People accept that. What they do not accept is discovering it after four minutes of waiting.
What comes back to the office
Call recording runs automatically, so what was said exists as a record rather than as somebody's recollection. Access is governed by the access control list, so the office decides who can listen rather than everyone inheriting the ability.
x-bees is included with Cleod9, and its AI transcription and summaries work on voice calls as well as chat. Intake arrives as a readable summary rather than a voicemail to be replayed with a notepad, which is what makes same-morning follow-up realistic rather than aspirational.
Settle retention deliberately. Records of people who never became clients or patients still contain their information. Ask Cleod9 where recordings and transcripts are stored, what the default retention is, whether the office can set its own, and whether a specific record can be deleted on request. Keep the answers in writing.
Privacy questions worth asking on paper
Cleod9 states end-to-end encryption, runs its collaboration tools inside the browser without plug-in downloads, and controls access per user. Beyond the platform:
- Will you sign a business associate agreement covering this service, and can we review it first?
- Where is captured intake stored, and for how long by default?
- Can we set our own retention period, and delete a specific record on request?
- Who on your side can access this content, and through what internal process?
- What happens to our data and our phone number if we end the relationship?
Your privacy officer or managing partner makes the determination. The vendor's answers on paper are what let them do it properly.
The failure modes worth watching for
Three, and each has an early warning sign.
The queue nobody clears. Warning sign: capture volume looks healthy and appointment volume has not moved. The problem is at the handoff, not the collection.
The script that traps people. Warning sign: a cluster of abandonment at one question, or a rise in people asking for a human at the same point. Move that question later or cut it.
The silent drift. Warning sign: none, which is what makes it dangerous. Answers go stale because nobody owns them. Schedule a quarterly review of every answer for the whole year at once and give it to a role.
What to measure
Share of intakes completed without staff involvement, which is the workload figure.
Time from capture to action, split between new inquiries and routine requests, since the tolerable gap is different.
Correction rate on self-supplied details versus phone-taken ones, which is usually the pleasant surprise.
Abandonment point, read from real transcripts rather than from a summary.
After-hours share of intake activity, which generally settles the internal business case.
Common questions
Does this replace intake staff?
No. It removes keystrokes, not judgment. The substantive conversation still happens with a person, and the constraint on a front desk was never typing speed.
Can people complete intake outside office hours?
Yes, and most will. That is the main reason to do this.
Does it ask about symptoms or case facts?
Only as a category, never as a description, and it does not respond to substantive content.
Will it connect to the system we already use?
Salesforce, HubSpot and Zoho are named integrations. For anything vertical, ask Cleod9 to confirm before planning around it.
Can people reach a real person?
Yes, at any point, and the system offers a person proactively when a conversation is not working.
Referrals deserve their own path
One category of intake is worth separating from the rest, because it behaves differently and because mishandling it costs you the source as well as the individual.
A referred client or patient arrives with expectations already set by whoever sent them. Somebody told them you were good, gave them your name, and probably said you would take care of them. That person is watching, informally, to see whether the referral was worth making.
Ask early whether they were referred and by whom. It takes one question, and it does three useful things. It lets you prioritize the inquiry appropriately. It tells you which referral relationships are actually producing, which most offices track badly or not at all. And it lets whoever follows up acknowledge the referral by name, which is a small courtesy that referral sources notice.
Route those inquiries to whoever manages relationships with referral sources rather than into the general queue. A referred person who waits three days has damaged something larger than one appointment.
Start with one thing
The offices that get good results almost all began narrower than they planned, and the ones that struggled configured everything at once.
Pick a single appointment or matter type. Capture contact and category details only, for a person to confirm. Run it a month and read every transcript. Fix the one question that confuses people, which there always is.
Then widen deliberately, one change at a time, each made with evidence rather than in advance. The all-at-once approach rarely breaks outright; what happens is that three problems surface together, nobody can attribute them, and the office concludes the whole idea does not work when in fact one question was badly worded.
Talking to Cleod9
Cleod9 is a Dallas-Fort Worth provider supporting its own customers, so a Hurst office deals with someone local rather than a distant ticket queue. The platform is described on the Cleod9 services page.
Do the trace exercise first. Follow one real inquiry through your office and write down every place the same information gets typed. Bring that, and the conversation is about your process rather than about features.