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.

Handled end to end by professionals.
Chad, Jesse, and Camilly lead the team that builds, ships, and maintains your automations.
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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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.
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.
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.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.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.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.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.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.
Book free consultationWhere 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.
Automation patterns in healthcare.
Illustrative examples of the automations we build for healthcare providers. See our published case studies for real client work.
| Segment | Engagement | Outcomes & impact |
|---|---|---|
| CASE 01Multi-site clinic | Front-office automation for a multi-site primary-care clinicA 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 practiceSpecialty 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 providerA 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 teamWith 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. |
Healthcare runs on throughput.
Sources: Premier Inc. hospital and health-system survey, 2024
Compliance & regulators in healthcare.
The regulatory framework every healthcare deployment meets by default.
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.
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.
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.
Which services fit healthcare providers?
Patient intake, 24/7 scheduling and reminders, referral and recall outreach, and after-hours triage that routes genuine clinical matters to your staff, integrated with your practice-management system.
Learn more →Prior-authorization packets, clinical note drafting for clinician sign-off, claims and remittance processing, faxed referrals, and intake forms extracted, structured, and routed with a full audit trail.
Learn more →Orchestration across your EHR, scheduling, clearinghouse, and revenue-cycle systems, so eligibility checks, prior auth, documentation, and billing move automatically instead of waiting in someone's queue.
Learn more →Resources for healthcare providers.
Technologies we work with.
We integrate with the platforms your team is on today. No rip-and-replace.
and many more…
Healthcare AI, answered.
Is AI automation HIPAA compliant?
What healthcare workflows can be automated?
How much does healthcare AI automation cost?
Will it integrate with our EHR?
How fast can we go live?
Is our patient data safe?
Do you keep a human in the loop for clinical work?
Why work with a Calgary-based agency for healthcare automation?
Related industries we serve.
Tell us what's slowing you down.
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