Tinkerberry Labs
AI automation for healthcare

Cut front-desk admin without touching clinical judgement.

Your staff spend more time on intake forms, phone tag and insurance chasing than on patients.

Multi-site clinicsDental and aesthetic practicesDiagnostics labsAllied health providers

20-40%

fewer no-shows with smart reminders

8-15 hrs

front-desk hours saved weekly per site

24/7

booking and intake coverage

8

documented automations for this sector

The automations

Where healthcare teams lose hours, and what replaces it.

Each one is a system we have specified and built before.

01

Voice and chat appointment agent

The manual process today
Calls go unanswered at peak hours and after close, so bookings leak to whoever picks up.
What we build
A voice and WhatsApp agent that books, reschedules and cancels directly in your practice management system, with a human handoff for anything clinical.
Typical impact
After-hours bookings captured; call abandonment drops sharply.
Twilio / voice modelsPractice management APIWhatsApp Business
02

No-show prediction and dynamic reminders

The manual process today
One flat SMS reminder for everyone, and empty chairs anyway.
What we build
A model that scores no-show risk per booking and escalates channel and timing for the risky ones, with an automatic waitlist backfill.
Typical impact
20-40% no-show reduction and near-instant slot backfill.
Historical booking dataGradient boosted modelSMS / WhatsApp
03

Digital intake and pre-visit summarisation

The manual process today
Paper or PDF intake forms retyped into the EMR by staff.
What we build
Conversational intake that structures answers, flags red-flag responses and writes a clean pre-visit summary for the clinician.
Typical impact
Retyping eliminated; clinicians start visits already briefed.
Structured extractionEMR integrationConsent logging
04

Insurance eligibility and claims prep

The manual process today
Staff manually check coverage and rekey claim data, then rework denials.
What we build
Automated eligibility checks, claim assembly with code suggestions, and a denial-reason classifier that drafts appeals.
Typical impact
Denial rework time cut sharply; faster reimbursement cycles.
Clearinghouse APIsDocument AIAudit trail
05

Clinical documentation assistance

The manual process today
Clinicians write notes after hours, driving burnout.
What we build
Ambient or dictated note drafting into your template structure, always reviewed and signed by the clinician.
Typical impact
Documentation time per encounter typically halved.
Speech-to-textTemplate-constrained generationSign-off workflow
06

Recall and preventive-care outreach

The manual process today
Patients due for follow-up are never contacted because nobody has time to run the list.
What we build
Automated recall lists with personalised, compliant outreach and booking links, tracked to conversion.
Typical impact
Dormant patient revenue recovered every month.
EMR queriesMessaging automationAttribution reporting
07

Referral intake and routing

The manual process today
Referrals arrive by fax, email and portal in a dozen formats.
What we build
Ingestion and extraction into one queue with urgency classification and automatic acknowledgement to the referrer.
Typical impact
Referral leakage reduced; turnaround measured instead of guessed.
Fax / email ingestionOCR + extractionRouting rules
08

Policy and protocol answering for staff

The manual process today
Staff interrupt seniors to ask what the protocol is.
What we build
An internal assistant grounded strictly in your own SOPs, with citations back to the source document.
Typical impact
Faster onboarding, fewer interruptions, consistent answers.
Document RAGAccess controlCitation enforcement
Questions

What healthcare teams ask us.

We keep protected data inside your existing systems wherever possible, use business-associate-ready model providers with zero-retention settings, log every access, and scope each agent to the minimum data it needs. We will walk your compliance lead through the architecture before anything is built.

No. Everything we deploy in clinical settings is administrative or drafting support, with a clinician reviewing and signing anything that reaches the record.

Audits are a fixed fee and are credited against a build. Single-workflow builds typically land in the low five figures, multi-workflow programmes higher, and ongoing running and support is a fixed monthly fee. You get the number before we start, not a rolling hourly bill.

A first pilot on your real data usually runs within two to four weeks of the kickoff call. Full deployment with integrations and training normally lands between weeks four and eight.

Your automation plan

Tell us what your healthcare team keeps doing by hand.

Thirty minutes, no pitch deck. We map the process, tell you whether automation pays back, and give you a rough cost before you commit to anything.

You and the work

Two more short steps sharpen the answer. An engineer reads it either way and replies, usually within a business day.

Other sectors

Automations for adjacent industries.