13 years of healthcare-only engineering
Building healthcare software since 2013. We didn’t pivot to healthcare when AI got hot — we were here when HL7 v2 was still the modern standard. Our Mirth Connect practice is older than ChatGPT.
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Built by the team that’s been integrating with Epic and signing BAAs since 2013. 785+ healthcare implementations. 200+ delivered EHR integrations. Zero HIPAA findings on shipped software.
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Taction Software is a healthcare-only AI engineering shop building production AI features for hospitals, health systems, payers, MedTech, and digital health vendors. The Taction practice is older than the AI industry — 13 years of healthcare software delivery since 2013, 785+ implementations shipped to production, 200+ EHR integrations across Epic, Cerner-Oracle, Athena, and Allscripts, zero HIPAA findings on shipped software, and signed BAA paper trails with OpenAI, Anthropic, AWS Bedrock, and Google. Every engagement is productized under the Taction PROOF Framework — Prototype, Refine, Operate, Observe, Formalize — with fixed prices, fixed scope, and fixed timelines.
Building healthcare software since 2013. We didn’t pivot to healthcare when AI got hot — we were here when HL7 v2 was still the modern standard. Our Mirth Connect practice is older than ChatGPT.
Not pilots. Not demos. Production deployments with documented outcomes, named clinical settings, and active customer relationships. Every engagement we describe is something we’ve actually shipped.
Epic, Cerner-Oracle, Athena, Allscripts, eClinicalWorks, NextGen, Meditech. FHIR R4, HL7 v2, CDA, SMART on FHIR. Both read and write-back patterns. The honest number is 200+; most competitors won’t quote a number at all.
Across 785+ implementations. SOC 2 Type II and HITRUST audit-ready documentation patterns on every engagement. BAA coverage on every AI inference path. The compliance track record is not an accident — it’s the result of designing for audit from day 1.
Pre-signed BAA templates with OpenAI, Anthropic, AWS Bedrock, and Google. Zero-data-retention configuration verified in writing. Most AI shops claim BAA coverage; we can show you the redacted document.
$30K FDA SaMD pathway assessment add-on. Imaging AI, autonomous diagnosis, and clinical-decision-mandating AI engagements include the SaMD pathway from day 1. Most AI shops discover the FDA pathway requirement six months into the engagement; we scope it up front.
The Taction PROOF Framework — Prototype, Refine, Operate, Observe, Formalize. $45K Discovery Sprint, $95K Production-Ready Sprint, $145K Pilot-Ready Sprint. Production deployments $60K–$225K. No surprise budget conversations mid-engagement.
Ambient documentation, AI medical coding, predictive deterioration, AI prior authorization, AI scheduling, multilingual chat, AI symptom triage, AI imaging triage. Production deployments with documented outcome data and named clinical settings.
Every Taction healthcare AI engagement runs through five stages with fixed-price gates between them. No surprise budget conversations. No scope creep. No engagement that dies at month 4 when the prototype has to become production.
Working concept on real or de-identified clinical data. UX validated with clinician users. Written go/no-go recommendation for production. 100% satisfaction guarantee — if you don’t approve the prototype, you don’t pay.
Deployable code. Evaluation harness on your institution’s data. Audit logging. BAA paperwork. Override-and-audit UX. Production-grade architecture.
MVP integrated with one EHR (Epic / Cerner / Athena / Allscripts) via SMART on FHIR or FHIR API. Monitoring dashboards. BAA paper trail. Take it to your CMIO for a clinical pilot.
Full production deployment with MLOps, model versioning, drift monitoring. Clinical eval harness running on production traffic. Post-launch optimization based on real clinician override patterns.
Quarterly model retraining. Drift remediation. New use case scoping. SOC 2 and HITRUST audit support. Dedicated team retainer tiers from $7K/mo to $45K+/mo.
Most healthcare AI pilots in 2024–2025 never reached production. The ones that did took 3x longer and cost 2–4x more than initial scope. The pattern is consistent: generalist AI shops can build prototypes but stall when the engagement needs EHR integration, BAA coverage, audit logging, and clinician adoption.
We don’t ship prototypes that demo well. We ship production deployments that survive SOC 2 audits and HITRUST reviews. Our Discovery Sprint isn’t a pitch — it’s working code on real data with a written go/no-go for production. If we can’t build it for production, we tell you in week 4 instead of month 7.
You get a fixed price, a fixed scope, a fixed timeline, and a team that has shipped this category of feature to production before. You don’t pay us to learn FHIR. You don’t pay us to figure out how to sign a BAA with OpenAI. You don’t pay us to discover the FDA SaMD pathway six months in.
We are not a generalist consulting shop. There are categories of work we deliberately decline.
Every Taction engagement is fixed-price. Time-and-materials structures reward us for slowness; we structure pricing around delivery instead.
PHI flowing through an AI inference path without BAA coverage is a HIPAA exposure. We won’t ship that, regardless of customer preference.
Clinical AI without override capture is a malpractice risk and an audit failure waiting to happen. Override-and-audit UX is non-negotiable.
The Taction moat is healthcare specialization. We don’t take general-purpose AI engagements, fintech engagements, or e-commerce engagements that happen to want AI features. Healthcare-only keeps the team sharp.
Free 30-min architecture call. We’ll scope your use case, EHR integration path, and the right tier for your timeline.
Generalist AI shops ship prototypes; we ship production deployments. The difference shows up at month 4 when the prototype has to integrate with Epic, sign a BAA with OpenAI, pass a SOC 2 audit, and survive clinician override patterns. Healthcare AI is 80% healthcare engineering and 20% AI engineering — the AI shops have those proportions backwards.
The Discovery Sprint is the same price as most AI shops charge for a discovery phase — $45K, 4 weeks. The difference is what you get: working code on real data, written go/no-go for production, with a 100% satisfaction guarantee. From there, our productized fixed-price tiers ($95K, $145K) are usually 30–50% cheaper than equivalent T&M engagements at AI shops, because we’ve shipped the pattern before.
We have signed Business Associate Agreements with OpenAI, Anthropic, AWS Bedrock, and Google for healthcare customer use. Each is configured for zero data retention. We can share redacted copies with prospective customers under NDA. Most AI shops claim BAA coverage but can’t produce the documents.
Across 785+ healthcare implementations shipped since 2013, we’ve had zero adverse findings on HIPAA audits, SOC 2 audits, or HITRUST reviews of shipped software. The track record is not an accident — it’s the result of designing for audit from day 1 on every engagement.
FDA Software as a Medical Device (SaMD) regulation applies to AI features that diagnose, screen, or directly influence treatment decisions for an individual patient. Imaging AI, autonomous diagnosis, and clinical-decision-mandating AI usually fall under SaMD. Ambient documentation, AI coding, scheduling, and operations AI usually don’t. We provide a productized $30K FDA SaMD pathway assessment on every engagement where it’s a question.
Yes — that’s the recommended path. The $45K Discovery Sprint is the de-risked entry point. 4 weeks to a working concept and a written go/no-go for production, with a 100% satisfaction guarantee. From there, you decide whether to proceed to the $95K Production-Ready Sprint or stop.
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