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AI automation · Healthcare

AI automation for healthcare.

AI automation built for clinics, practices, and health networks. HIPAA and PHIPA compliant.

Healthcare runs on paperwork. Physicians reported a 59-hour workweek in 2023, with close to half of it spent on documentation, order entry, prior authorization, and forms rather than patients. AI takes over the repeatable parts: patient intake, scheduling and reminders, prior-auth submissions, clinical note drafting, and claims. Every deployment is built to HIPAA in the US and PHIPA and PIPEDA in Canada, with encryption, role-based access, and a full audit trail by default. We are headquartered in Calgary, we ship in 2 to 6 weeks, and we start with one workflow so you can prove the ROI before scaling.

Your automation teamReal people
The Automators team: Chad Cox, Jesse Goodwin, and Camilly Vianna

Handled end to end by professionals.

Chad, Jesse, and Camilly lead the team that builds, ships, and maintains your automations.

$182.2B
US healthcare IT market (2024)
59 hrs
Physician workweek, much of it admin
HIPAA
Compliance aligned
2-6 wk
Typical go-live

Sources: MarketsandMarkets, U.S. Healthcare IT Market (2024 base), 2025; American Medical Association, physician workload analysis (2023 data)

In short: The Automators builds AI automation for clinics, specialty practices, telehealth providers, and health networks: patient intake, scheduling and reminders, prior authorization, clinical documentation, and revenue-cycle and billing workflows. Every build is aligned to HIPAA in the US and PHIPA and PIPEDA in Canada, with Canadian data residency available, encryption, role-based access, and complete audit logging. Most first projects ship in 2 to 6 weeks. We start with one high-leverage workflow, measure the hours and revenue it returns, then scale from there.

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01 — The landscape

Why healthcare is automating now

Healthcare is the most administratively loaded industry in the economy. US national health spending reached USD 4.9 trillion in 2023, roughly 17.6 percent of GDP, and a large share of that never touches clinical care: it is scheduling, intake, prior authorization, coding, claims, and follow-up. The US healthcare IT market alone was valued at USD 182.2 billion in 2024 and is projected to grow at a 14.0 percent compound annual rate to USD 396.82 billion by 2030, as providers invest in exactly the automation and interoperability layers that reduce this overhead.

The burden lands on clinicians. The American Medical Association put the physician workweek at 59 hours in 2023, with only about 27 of those hours in direct patient care and the rest in indirect care and administrative work: documentation, order entry, test interpretation, referrals, insurance forms, and prior authorization. On prior auth specifically, the AMA found physicians complete an average of 39 requests per week and that 93 percent say it delays patient care. On the revenue side, a 2024 Premier survey found roughly 15 percent of claims submitted to private payers were initially denied, and each denial triggers hours of rework. No-shows compound it: primary-care no-show rates run near 19 percent, and every missed slot is lost revenue and a delayed patient.

This is the work AI is genuinely good at. Conversational intake agents collect history and insurance details before the visit, scheduling agents fill cancellations and cut no-shows with multi-channel reminders, document agents draft prior-auth packets and clinical notes for clinician review, and revenue-cycle agents scrub claims before submission and triage denials. The point is not to replace clinical judgment: it is to hand the routine, rules-based paperwork to software so people spend their time on patients. Adoption is accelerating because the tooling now integrates directly with the systems providers already run, from Epic, Oracle Health (Cerner), and athenahealth on the EHR side to the clearinghouses and RCM platforms behind billing.

Compliance is the gate, and it is non-negotiable. In the US that means HIPAA, with a signed business associate agreement before any protected health information moves, plus 42 CFR Part 2 where substance-use records are involved. In Canada it means PHIPA for Ontario health custodians and PIPEDA federally, with Canadian data residency where required. We are a Calgary-based agency serving providers across Canada and the US, so we design for both regimes from day one. We start with one high-leverage workflow, prove the ROI in weeks, keep a human in the loop on anything clinical, and scale only what works.

02 — Workflow playbooks

What we automate for healthcare providers.

The functions where healthcare teams spend the most hours on repeatable work, each mapped to the automation we deploy and the outcome it drives.

Fn 01Patient intake

Front-desk staff rekey demographics, insurance, and history from forms, phone calls, and faxes into the EHR, and incomplete intake shows up as delays and denied claims later.

A conversational intake agent collects and verifies demographics, insurance, and clinical history before the visit, checks eligibility, flags gaps, and writes structured data straight into the EHR with a review step for staff.

Intake completed before arrival and clean data into the EHR is a typical benchmark for cutting front-desk handling time and downstream claim rejections.
Fn 02Appointment scheduling and reminders

Primary-care no-show rates run near 19 percent, and manual reminder calls and waitlist management eat staff hours while empty slots go unfilled.

A scheduling agent runs multi-channel reminders by SMS, email, and voice, confirms or reschedules automatically, and backfills cancellations from a waitlist, all synced to the practice-management calendar.

Fewer missed appointments and higher chair utilization is the standard benchmark automated reminders and waitlist backfill are expected to deliver against a 19 percent no-show baseline.
Fn 03Prior authorization

Practices average 39 prior-authorization requests a week and 93 percent of physicians say it delays care, with staff manually assembling clinical documentation and chasing payer portals and faxes.

A document agent compiles the prior-auth packet from the chart against payer rules, submits through the portal or clearinghouse, tracks status, and escalates denials and peer-to-peer requests to a human with the evidence attached.

Faster submissions and less clinician time on paperwork is the benchmark prior-auth automation targets against the AMA-reported 39-requests-per-week load.
Fn 04Clinical documentation

Documentation and after-hours charting, often called pajama time, is a leading driver of clinician burnout, and roughly a fifth of physicians spend more than eight hours a week on the EHR outside normal work hours.

An ambient or dictation-based documentation agent drafts structured notes from the encounter, suggests codes, and routes the draft to the clinician to edit and sign, so the chart is never authored without a human.

Less after-hours charting and notes ready for clinician sign-off is the typical benchmark ambient documentation is expected to deliver.
Fn 05Billing and revenue cycle

Roughly 15 percent of claims to private payers are initially denied, and denial management is consistently the most time-consuming revenue-cycle task, with each denial requiring costly manual rework.

A revenue-cycle agent scrubs claims against payer rules before submission, posts remittances, categorizes denials by root cause, and drafts corrected resubmissions and appeals for billing-team review.

A lower first-pass denial rate and faster reimbursement is the benchmark claim-scrubbing and denial-triage automation targets against a roughly 15 percent initial-denial baseline.
Fn 06Patient communication

Practices lose after-hours inquiries, referral follow-ups, recall reminders, and post-visit instructions to voicemail and manual outreach, which hurts continuity of care and patient satisfaction.

A patient-communication agent answers routine questions 24/7, handles referral and recall outreach, sends prep and post-visit instructions, and hands genuine clinical or urgent matters to staff, all logged for the record.

Around-the-clock coverage of routine inquiries and consistent recall and follow-up outreach is the typical benchmark this automation is built to deliver.

Most healthcare teams start with one high-leverage automation, prove the ROI in weeks, then scale from there.

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03 — Where leverage runs deepest

Where automation leverage runs deepest.

Ranked by the breadth of automation opportunity we see across each area's core workflows: the wider the bar, the more of that work our deployments can take over today.

Prior authorizationPacket assembly, submission, status tracking, denial escalation
Highest leverage: rules-based, high-volume, well-defined
Billing and revenue cycleClaim scrubbing, remittance posting, denial triage, appeals
Deep leverage across the full claims lifecycle
Patient intake and schedulingIntake capture, eligibility, reminders, waitlist backfill
Broad leverage across every front-office touchpoint
Clinical documentationAmbient note drafting, coding suggestions, clinician sign-off
Strong leverage with a mandatory human review step
Patient communicationAfter-hours triage, referral and recall outreach, instructions
Steady leverage on routine, high-frequency contact

Ranked by the breadth of automation opportunity we see, not a third-party index.

04 — How it plays out

Automation patterns in healthcare.

Illustrative examples of the automations we build for healthcare providers. See our published case studies for real client work.

SegmentEngagementOutcomes & impact
CASE 01Multi-site clinic

Front-office automation for a multi-site primary-care clinic

A multi-site primary-care group with a roughly 19 percent no-show rate ran intake and reminders by hand across every location, and incomplete intake regularly surfaced as denied claims. An AI intake agent captures and verifies demographics, insurance, and history before the visit and writes clean structured data into the EHR, while a scheduling agent runs multi-channel reminders and backfills cancellations from a waitlist.

PRE-VISITIntake captured and verified before arrival, clean data into the EHR.
FEWER NO-SHOWSReminders and waitlist backfill worked against a 19 percent no-show baseline.
CLEANER CLAIMSEligibility checked up front to cut downstream claim rejections.
AUDIT-READYHIPAA-aligned with role-based access and a full audit trail.
CASE 02Specialty practice

Prior-authorization automation for a specialty practice

Specialty practices carry the heaviest prior-authorization load, and the AMA puts practices at an average of 39 requests a week with 93 percent of physicians reporting care delays. An AI document agent assembles the prior-auth packet from the chart against payer rules, submits it through the portal or clearinghouse, tracks status, and escalates denials and peer-to-peer requests to a human with the supporting evidence already attached.

PACKET BUILTPrior-auth packets assembled from the chart against payer-specific rules.
NO PORTAL CHASINGSubmissions filed and status tracked without manual portal chasing.
ESCALATEDDenials and peer-to-peer requests escalated with the evidence attached.
TIME BACKClinician time returned against a heavy per-practice prior-auth load.
CASE 03Telehealth provider

Intake and patient communication for a telehealth provider

A multi-state telehealth provider fielded high volumes of after-hours inquiries and pre-visit intake that voicemail and manual outreach could not keep up with. An AI patient-communication agent handles intake, answers routine questions 24/7, sends visit prep and post-visit instructions, and hands genuine clinical or urgent matters to licensed staff, with every interaction logged for the record.

VERIFIEDPre-visit intake captured and verified before each virtual encounter.
24/7Routine questions handled around the clock, clinical matters escalated to staff.
CONTINUITYVisit prep and post-visit instructions sent automatically.
CROSS-BORDERBuilt to HIPAA, with Canadian data residency available.
CASE 04Revenue-cycle team

Denial management for a revenue-cycle and billing team

With roughly 15 percent of private-payer claims initially denied and denial management the most time-consuming revenue-cycle task, a billing team spent its days on manual rework instead of prevention. An AI revenue-cycle agent scrubs claims against payer rules before submission, categorizes denials by root cause, and drafts corrected resubmissions and appeals for the billing team to review and send.

FIRST-PASSClaims scrubbed against payer rules before submission to lift first-pass rate.
ROOT-CAUSEDDenials categorized by root cause instead of worked one at a time.
DRAFTEDCorrected resubmissions and appeals drafted for billing-team review.
FASTER PAYReimbursement accelerated against a roughly 15 percent initial-denial baseline.
By the numbers

Healthcare runs on throughput.

2-6
Weeks from kickoff to a shipped, production automation
24/7
Monitoring on every workflow
100%
Workflows delivered with an audit trail
~15%
Of private-payer claims initially denied, each one manual rework

Sources: Premier Inc. hospital and health-system survey, 2024

05 — Compliance

Compliance & regulators in healthcare.

The regulatory framework every healthcare deployment meets by default.

HIPAA (US)

For US providers we operate as a business associate and sign a business associate agreement before any protected health information moves. Builds apply the HIPAA Security Rule safeguards: encryption in transit and at rest, role-based access, and audit logging. Where substance-use records are involved we also design to 42 CFR Part 2, which a 2024 final rule brought into closer alignment with HIPAA. Note there is no official HHS HIPAA certification, so we rely on a signed BAA and documented safeguards rather than a certificate.

PHIPA / PIPEDA (Canada)

For Canadian providers, deployments meet PHIPA, Ontario Personal Health Information Protection Act that governs health information custodians such as clinics, hospitals, and practitioners, and PIPEDA, the federal privacy law that applies to commercial handling of personal information across provinces. We obtain and honor consent, collect only what is necessary, and give patients access and correction rights, with Canadian data residency available where required.

Data residency & audit logging

Protected health information is encrypted in transit and at rest, access is role-based and least-privilege, and every automated action is logged to an immutable audit trail so you can answer who did what, when, and on which record. Canadian data residency is available for providers that require patient data to stay in Canada, and anything clinical keeps a human in the loop by design.

08 — Integrations

Technologies we work with.

We integrate with the platforms your team is on today. No rip-and-replace.

n8nMakeZapierOpenAIAnthropicSupabaseSalesforceHubSpotTwilioMicrosoft 365Google Workspace

and many more…

09 — FAQ

Healthcare AI, answered.

Is AI automation HIPAA compliant?
HIPAA compliance is a property of how a system is built and operated, not a certificate you buy: there is no official HHS HIPAA certification. For US providers we operate as a business associate, sign a business associate agreement before any protected health information moves, and apply the HIPAA Security Rule safeguards of encryption, role-based access, and audit logging. Where substance-use records are involved we also design to 42 CFR Part 2. For Canadian providers we build to PHIPA and PIPEDA. We keep a human in the loop on anything clinical.
What healthcare workflows can be automated?
The highest-leverage ones are the repeatable, rules-based tasks that pull staff and clinicians away from patients: patient intake and eligibility verification, appointment scheduling and multi-channel reminders, prior-authorization packet assembly and submission, clinical documentation drafted for clinician sign-off, claim scrubbing and denial management, and 24/7 patient communication and recall outreach. Clinical decision-making stays with your clinicians. We automate the paperwork around it.
How much does healthcare AI automation cost?
A single workflow such as intake, reminders, or prior-auth submission starts in the low thousands. A larger program spanning intake, documentation, and full revenue-cycle automation across multiple sites is a bigger investment. Because the paperwork burden is so high, the ROI is usually fast: recovered clinician hours, fewer no-shows against a roughly 19 percent baseline, and a lower first-pass denial rate against roughly 15 percent of private-payer claims. The scoping consultation is free and we quote a real number before any work starts.
Will it integrate with our EHR?
Yes. We integrate with the systems you already run rather than replacing them, including major EHR and EMR platforms such as Epic, Oracle Health (Cerner), and athenahealth, plus your practice-management, scheduling, clearinghouse, and revenue-cycle tools. Integration uses supported APIs and interoperability standards such as HL7 and FHIR where available, with a review step so structured data is validated before it is written back to the chart. No rip-and-replace.
How fast can we go live?
Most first projects ship in 2 to 6 weeks. A focused workflow like appointment reminders or an intake agent can go live in days to a couple of weeks; a multi-system build spanning prior auth, documentation, and billing takes longer, with time built in for compliance review and integration testing. We start with one high-leverage workflow, prove it in production, then scale. We scope a real timeline in a free consultation.
Is our patient data safe?
Yes. Protected health information is encrypted in transit and at rest, access is role-based and least-privilege, and every automated action is written to an immutable audit trail. For US clients we operate under a signed business associate agreement per HIPAA; for Canadian clients we build to PHIPA and PIPEDA with Canadian data residency available where required. Anything clinical keeps a human in the loop, and we never train external models on your patient data.
Do you keep a human in the loop for clinical work?
Always. Automation handles the routine, rules-based paperwork: assembling packets, drafting notes, scrubbing claims, and sending reminders. Anything that touches clinical judgment, a drafted note, a suggested code, a prior-auth escalation, or a triaged patient message, is routed to a qualified person to review, edit, and approve before it is finalized. The goal is to remove administrative load, not to put software in charge of care.
Why work with a Calgary-based agency for healthcare automation?
Because we design for both the Canadian and US regimes from day one. We are headquartered in Calgary, so we build to PHIPA and PIPEDA and can keep patient data resident in Canada, and we serve US providers under HIPAA with a signed business associate agreement. You get one team that understands cross-border healthcare privacy, integrates with your existing EHR and billing stack, and ships a working automation in weeks rather than a multi-quarter project.
10 — Related

Related industries we serve.

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