Direct answer: Connected call operations for dental groups mean joining three different layers—telephony, PMS/CRM systems of record, and transcription/analytics—so a call can become a permitted action and an auditable follow-up without pretending that speech-to-text is a finished clinical note. Value comes from clear data flow and honest limits, not from claiming every phone event auto-writes a perfect patient file.
This page is a technical explainer for operations and IT buyers. It separates the layers, maps integration patterns, and states what Clero verifies in product today versus what belongs to phone platforms or future connectors. Deeper security, diary write-back mechanics, latency and scheduling guardrails are linked rather than restated.
Define the three layers separately
Telephony
The phone path that delivers the call: numbers, queues, overflow, out-of-hours routing, recording toggles, transfers and (on some platforms) screen-pop / click-to-dial. Clero’s conversational path uses ElevenLabs voice agents; outbound confirmation-style calling can use ElevenLabs’ Twilio-backed APIs; SMS may use Twilio separately. Some deployments also use PBX-side tooling (for example Yeastar CDR webhooks) to recover real caller ID when forwarding masks CLI. Screen-pop is not implemented inside Clero’s application code—treat it as a telephony or partner-bridge capability when your phone vendor offers it.
PMS / CRM integration
Software that holds patients, diaries, leads or marketing journeys. Integration here means reading availability, matching a person, and—only when permitted—writing a booking, update, task or lead. Clero booking handlers currently include Dentally, CareStack, Semble, Aerona and Exact (via Exact Online Booking when enabled), plus LeadConnector/GoHighLevel and Calendly where configured. That is not universal UK dental PMS support.
Transcription and call analytics
Speech-to-text of the conversation (and often speaker turns), plus derived artefacts: summaries, call-type tags, tasks. In Clero, completed AI conversations can fetch a provider transcript, cache it on the call record, generate an AI summary and classify call type for the dashboard. These support operations and QA—they do not automatically equal a clinician-signed clinical entry.
Why connect them
| Without connection | With a designed connection |
|---|---|
| Staff re-type every outcome into the diary | Permitted bookings write to the live PMS when supported |
| Transcripts live only in the phone vendor | Staff review calls beside booking outcomes in one ops view |
| Leads and clinical diaries diverge | CRM captures marketing intent; PMS remains clinical truth |
| Failures are invisible | Failed writes and escalations become auditable exceptions |
Connection is valuable when patient matching + permission + audit are explicit. Dumping raw transcripts into clinical notes by default is usually the wrong design.
Architecture / data flow
A robust connected-call design looks like this:
- Call arrives — telephony routes to desk, overflow AI, OOH path or transfer destination.
- Capture — audio may be recorded by the phone or voice platform per configuration; conversational turns are produced for AI-handled calls.
- Transcription / intent — speech-to-text + optional summary and call-type classification (for example appointment vs enquiry vs complaint in dental configs).
- Patient / lead matching — match on phone number and practice rules (and stronger identity gates when booking). New vs existing pathways differ.
- Permitted action — answer FAQ, create task, book/reschedule/cancel only if integration + rules allow; otherwise message or escalate.
- Record / audit — store call metadata, transcript/summary where enabled, tool outcomes and errors for review—not as an automatic full clinical chart.
- Follow-up — SMS confirmation, staff callback queue, complaint handling, or next-day task list.
Latency and conversational feel depend heavily on the telecom and voice stack; see eliminating voice AI latency and the AI pause myth / no forced phone migration. Diary rule enforcement belongs in guardrails for dental automation scheduling.
PMS vs CRM in dental contexts
| Dental PMS | CRM (e.g. marketing / GHL) | |
|---|---|---|
| Primary job | Clinical + operational system of record | Leads, campaigns, nurture, sales pipeline |
| Typical data | Patients, charting, diary, billing, often NHS claims | Contacts, opportunities, automations |
| Phone integration goal | Correct diary actions and patient continuity | Capture enquiry intent and follow-up sequences |
| Risk if confused | Wrong clinical history or double bookings | Treating a CRM event as a clinical appointment |
LeadConnector/GoHighLevel in Clero is a calendar/CRM-style connector, not a substitute for Dentally/CareStack/Semble/Aerona/Exact clinical PMS workflows. For native diary write-back concepts, read PMS integration for dental AI. Exact status: Clero integrates with Exact for booking when Exact Online Booking is enabled—confirm Online Booking and appointment types in a demo on your build; see PMS integration for dental AI.
Integration patterns (claim only what you can verify)
| Pattern | What it is | When it fits | Verified Clero posture |
|---|---|---|---|
| API / webhook | Live read/write to PMS or CRM APIs; event webhooks | Booking, cancel, patient match | Used for supported PMS/CRM handlers and voice webhooks |
| Middleware / iPaaS | Intermediate sync layer | Groups with many systems | Not required for Clero’s native handlers; evaluate case-by-case if you add one |
| Screen-pop / task creation | Caller card on ring; post-call tasks | Human desk productivity | Tasks can be created from post-call flows in Clero; screen-pop = telephony/partner layer, not Clero core |
| Batch export | Nightly CSV/report of calls | Analytics warehouses | Use exports/APIs from dashboard/vendor where available; not a clinical write path |
| Manual fallback | Structured message for staff to book | Unsupported PMS or failed write | Required for safe operations—always design it |
Do not assume automatic push of full transcripts into SOE Exact, Pearl, Dentally correspondence, or any PMS “clinical notes” field unless your signed integration scope and a live test show it. Clero’s verified strength here is operational call records + permitted diary/CRM actions, not universal correspondence write-back.
Consent, notices, access, retention, accuracy
This section is operational guidance, not legal advice. Point your DPO or adviser at primary ICO materials:
- ICO — lawfulness, fairness and transparency
- ICO — lawful basis guide
- ICO — legitimate interests (includes examples such as call recordings for training where an LIA may be considered)
Practices should document:
- Lawful basis for recording, transcription, analytics and any special-category health content that appears on calls.
- Transparency — clear notice of monitoring/recording purpose in a way callers can understand (and privacy notice coverage for transcripts).
- Access control — who in the group can play audio, read transcripts, export, or delete.
- Retention — how long audio vs transcript vs summary are kept in each vendor (phone platform, voice AI, Clero). Clero’s published privacy policy states voice transcripts may be collected where applicable and data is stored/processed in UK-based regions where possible; confirm live retention for your tenancy rather than assuming zero retention.
- Redaction / subject rights — how you handle access, erasure and incorrect transcript text.
- Correction workflow — staff must be able to fix wrong bookings and flag bad transcripts; ASR errors are expected.
Broader clinic checklist: call automation security for UK clinics.
Transcription limitations (expect imperfection)
Modern ASR is useful and not perfect. Plan for:
- Accents and dialects — higher error rates on names and place names.
- Patient and clinician names — often the weakest tokens; never trust spelling for clinical identity without a second factor.
- Clinical terminology — drug names, tooth notation and jargon may mangle.
- Noisy environments — open-plan reception, masks, dual talk.
- Confidence — where confidence is low, prefer human review before any consequential action.
- Speaker attribution — channel separation helps but can still mis-label turns.
Policy implication: use transcripts for QA, coaching and operational follow-up; require humans for clinical documentation standards your practice already uses. Do not market “calls automatically become the clinical record.”
Integration due-diligence checklist
- Number ownership, overflow and OOH routing diagram.
- Recording/transcription vendors named; DPA and subprocessors listed.
- Lawful basis + caller notice script signed off.
- PMS vs CRM roles documented per brand/site.
- Live demo of your bookable types on the named connector.
- Failed-write behaviour observed (no false “you’re booked”).
- Identity gates for existing patients.
- Who can access audio/transcripts; export and delete process.
- Retention settings in phone platform + voice AI + ops dashboard.
- Escalation path for complaints and urgent wording.
- Multi-site location matching rules.
- Pilot metrics: corrections, failed writes, abandoned transfers.
Failure-mode table
| Failure | Symptom | Safe response |
|---|---|---|
| PMS API down / auth expired | Booking tool errors | Do not confirm appointment; create staff task; offer transfer |
| Wrong patient match | CLI shared / recycled number | Stronger identity checks; escalate if ambiguous |
| ASR name error | Transcript misspells patient | Never write clinical identity from ASR alone |
| Partial booking write | Verbal offer succeeded, diary write failed | Explicit failure script; ops alert |
| Screen-pop mismatch | Wrong card on ring (phone layer) | Train staff to verify; fix telephony–PMS map |
| Retention misconfiguration | Audio kept longer than policy | Align vendor settings to documented retention |
| Over-automation | Complaints handled by bot | Intent → immediate human path |
URL note (keep vs split)
The current slug covers telephony + CRM + transcription in one hub—appropriate for connected call operations buyers. Search intent overlaps, but splitting into thin pages would dilute expertise. Recommendation: keep this URL as the connected-ops explainer. If traffic later justifies a split, nominate:
- this page → hub / architecture
- a future dental call transcription page → accuracy, QA, retention (301 only if rankings concentrate there)
- existing PMS integration → diary write-back canon
Do not create thin duplicates now.
Frequently asked questions
PMS vs CRM?
PMS ≈ clinical/diary system of record; CRM ≈ leads and journeys. Do not equate them.
Do transcripts become clinical records?
Not automatically—and usually they should not without a governed clinical documentation process.
What can Clero book into?
Dentally, CareStack, Semble, Aerona and Exact (via Exact Online Booking when enabled); plus configured LeadConnector/GHL and Calendly. Confirm before go-live.
Where do transcripts live?
Provider transcript can be cached on Clero call records for review; confirm retention for your deployment.
Is screen-pop Clero?
Typically telephony/partner—not Clero core.
Recording notices?
Identify lawful basis and be transparent (ICO principles). Document notice, purpose, retention and access with your adviser.
Connected dental telephony is an architecture problem: clear layers, permitted actions, imperfect ASR and auditable fallbacks. Evaluate vendors on demonstrated data flow—not on claims that every call magically completes the clinical chart.