AI automation for healthcare.

Healthcare is the most administratively loaded industry in the economy. US health care spending grew 7.2 percent in 2024 to reach USD 5.3 trillion, about 18 percent of GDP. (Centers for Medicare & Medicaid Services, National Health Expenditure Data: Historical) A large share of that never touches clinical care: it is scheduling, intake, prior authorization, coding, claims, and follow-up.

Providers are spending to close that gap. The US healthcare IT market 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, driven by investment in exactly the automation and interoperability layers that reduce administrative overhead. (MarketsandMarkets, US Healthcare IT Market Report 2025-2030 (HIT 10215))

The burden lands on clinicians. The American Medical Association reports physicians had a 57.8-hour workweek in 2024: 27.2 hours in direct patient care, 13 hours in indirect care such as documentation, order entry, test interpretation, and referrals, and 7.3 hours in administrative tasks such as prior authorization and insurance forms. (American Medical Association, Doctors work fewer hours, but the EHR still follows them home) The picture is the same in Canada, where doctors spend about 18.5 million hours a year on unnecessary paperwork and administrative tasks, the equivalent of 55.6 million patient visits. (Canadian Federation of Independent Business, media release: Canadian doctors spend over 18 million hours a year on unnecessary administrative work)

Prior authorization and denials bite hardest. Physicians complete an average of 40 prior authorizations per week, and nearly one in three say requests are often or always denied. (American Medical Association, press release: AMA survey: Prior authorization reform pledge falls short with physicians) Physicians also widely report that prior auth delays patient care. On the revenue side, nearly 15 percent of claims submitted to private payers are initially denied, including many already approved through prior authorization, and each denial triggers hours of rework. (American Hospital Association, Market Scan: Payer Denial Tactics, How to Confront a $20 Billion Problem)

This routine, rules-based work is exactly what AI is good at. No-shows are a constant drain, and every missed slot is lost revenue and a delayed patient; scheduling agents fill cancellations and cut no-shows with multi-channel reminders. Conversational intake agents collect history and insurance details before the visit, 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 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.