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Healthcare AI Care Packages — Recurring Operations for Production AI

A healthcare AI feature that ran clean in clinical pilot will not stay clean automatically. Models drift. Provider SDKs update with breaking changes. Prompt templates need re-tuning when the underlying foundation model is upgraded. Audit logs need to be archived and validated. SOC 2 evidence has to be collected continuously, not just at audit time. The eval harness has to actually run, not just exist. Hospital security committees want quarterly compliance check-ins.

None of this fits inside a fixed-price Sprint. It is operational work — recurring, monthly, predictable in shape and unpredictable in spike — and it needs a recurring engagement model to match. That is what Care Packages are.

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Why Healthcare AI Needs Ongoing Care (Not Just Maintenance)

Traditional software maintenance is mostly defensive: patch security holes, fix bugs, keep dependencies current. Healthcare AI needs that plus four additional categories of ongoing work that traditional maintenance does not anticipate.

Model drift management. The foundation model that performed well at pilot launch will not perform identically six months later. Provider model updates, training data shifts, prompt template tuning, retrieval store changes — any of these can cause performance to drift. Continuous drift monitoring and structured retraining or re-prompting cycles are core to keeping production AI healthy.

Eval harness execution. An eval harness that is never re-run is just historical documentation. Production AI features need scheduled eval runs against held-out test cases plus a stream of new test cases derived from recent encounters. Findings flow back into prompt tuning, retrieval refinement, and (when needed) model re-selection.

Compliance maintenance. SOC 2 Type II requires controls operating effectively across a 12-month observation window after the first report. HITRUST has interim assessments at year 1 of the r2 cycle. HIPAA’s 2026 Security Rule requires continuous monitoring, not annual. All of this is recurring work that has to happen on schedule, not when someone remembers.

Provider and SDK lifecycle. Anthropic, OpenAI via Azure, AWS Bedrock, Vertex AI all ship breaking changes regularly. Model deprecations. Endpoint migrations. SDK upgrades. Configuration drift. Provider news that affects BAA coverage. Staying current is not optional and requires engineering attention every month.

None of this can be deferred to “we’ll figure it out later.” Deferred operations become emergencies.

The Three Care Package Tiers

Three tiers covering most production healthcare AI operations needs. Tier selection depends on use case complexity, regulatory profile, and how much of the work the buyer’s internal team will handle versus delegating.

Essentials — $8,000 per month

For buyers with internal engineering capacity who need specialized healthcare AI operations expertise on retainer.

  • Continuous drift monitoring with weekly summary report
  • Monthly eval harness execution against the existing test set with results report
  • Provider SDK upgrade tracking with monthly digest of breaking changes
  • Audit log archival and quarterly integrity validation
  • Quarterly compliance posture review (HIPAA-AI controls)
  • Email/Slack support during business hours, 24-hour response SLA
  • One engineering hour per month for ad-hoc questions or minor adjustments

Standard — $20,000 per month

For buyers running production AI features at meaningful clinical volume who need active operations.

Everything in Essentials, plus:

  • Active prompt template tuning (one prompt template family per month)
  • Quarterly eval re-runs with new test cases derived from recent encounters
  • Model version evaluation when providers release significant updates
  • Compliance evidence collection for SOC 2 and HITRUST cycles
  • Pen-test coordination annually (third-party pen-test costs not included)
  • Incident response on-call during business hours with 4-hour response SLA for production incidents
  • 8 engineering hours per month for ad-hoc work

Premium — $50,000 per month

For buyers running multiple production AI features at high clinical volume across multiple sites, or for buyers in FDA SaMD-cleared deployments requiring continuous compliance.

Everything in Standard, plus:

  • 24/7 on-call coverage for production incidents with 1-hour response SLA
  • Dedicated healthcare AI engineering lead assigned to the account
  • Weekly account review with engineering lead and clinical sponsor
  • Continuous compliance evidence collection (not just quarterly)
  • Annual eval harness refresh and methodology update
  • Quarterly model provider negotiation support (for BAA renewals, pricing reviews)
  • Quarterly clinical advisory session with senior healthcare AI architect
  • 32 engineering hours per month for ad-hoc work

For comparison, hiring a dedicated healthcare AI engineer at $8K per engineer per month is closer to project-based capacity; Care Packages are operations-specific.

What Is Included at Every Tier (Six Core Components)

Regardless of tier, every Care Package covers six core operations components. The tier determines depth, response time, and ad-hoc capacity.

1. Drift monitoring. Live monitoring of model output against baseline behavior. Alert thresholds tuned during onboarding. Weekly summary at Essentials, daily review at Premium.

2. Eval harness execution. Periodic execution of the harness built during Pilot-Ready. Findings flow into the operations report. Tier determines whether new test cases are being added.

3. Audit log lifecycle. Archival according to retention policy. Periodic integrity validation. Coordination with hospital legal/compliance for any discovery or audit requests.

4. Compliance maintenance. HIPAA-AI controls posture maintained. SOC 2 and HITRUST evidence collected per the relevant audit cycle. Tier determines whether collection is quarterly or continuous.

5. Provider lifecycle. Tracking provider SDK updates, model deprecations, configuration changes that affect BAA coverage. Tier determines whether action on breaking changes is included or scoped separately.

6. Incident response. Production AI incidents (hallucination harm, prompt injection attempts, embedding store anomalies, provider outages) get triage and response. Tier determines coverage window and response SLA.

When to Choose Each Tier

Essentials fits when:

  • The buyer has its own engineering team handling the AI feature day-to-day
  • The use case is lower-risk and lower-volume (e.g., ambient documentation in a small specialty practice)
  • The compliance profile is HIPAA-only without enterprise certifications
  • Annual operations spend in the $80K–$120K range is appropriate
Section 05

How Care Packages Compare to Dedicated Engineers

A common comparison: should we buy a Care Package or just hire dedicated engineers? Different needs, different fits.

The most common pattern: Care Package for the production AI operations work, plus dedicated engineers for any net-new feature development. The two complement each other.

DimensionCare PackageDedicated Engineers
Engagement modelRecurring monthly retainerPer-engineer per-month, 3-month minimum
ScopeOperations-specific (drift, eval, compliance)Whatever you direct
TeamPooled access to specialistsSpecific engineers assigned to your project
Best forOngoing production AI operationsBuilding new features, project capacity
SLA includedYes, by tierNo formal SLA
Compliance work includedYes, by tierOnly if you direct it
Production reality

Service Level Agreements and Response Times

Each tier carries a defined SLA. Response time is measured from incident report to first engineer engagement on the issue.

Essentials. Email/Slack support during US business hours. 24-hour response SLA for support requests. No production incident on-call.

Standard. Email/Slack/phone support during US business hours. 4-hour response SLA for production incidents during business hours. Best-effort after-hours.

Premium. 24/7 on-call coverage for production incidents. 1-hour response SLA, any time of day. Dedicated incident response runbook reviewed quarterly. Direct phone access to the assigned engineering lead.

Premium-tier SLAs are typical for AI features that drive time-sensitive clinical decisions (sepsis early warning, stroke triage, cardiac deterioration prediction). For lower-risk features, Essentials or Standard is usually appropriate.

Engagement Logistics

Pricing. Monthly retainer billed in advance. Tier-based pricing as above.

Term. 6-month minimum initial term. Month-to-month thereafter with 60-day notice for termination or tier change.

Onboarding. Two-week onboarding period at the start of every engagement. Engineering team reviews architecture, eval harness, audit log structure, compliance posture, and existing operations. Onboarding is included; no separate fee.

Tier changes. Up- or down-tier changes effective the following month with 30-day notice. The most common pattern: start at Standard, move to Premium as production volume grows, never go back to Essentials once a real operations rhythm is in place.

Scope expansion. Work above the included engineering hours is billed at standard time-and-materials rates or rolled into a tier upgrade. Major scope expansions (new AI feature, new use case) are scoped as separate Sprint engagements.

FAQs

Frequently Asked Questions About Healthcare AI Care Packages

Six months for the initial engagement. Month-to-month with 60-day notice thereafter. The minimum exists because operations engagements need at least one full quarter to surface real operational signal — a one-month engagement does not produce useful work.

Yes. Up-tier changes are typically effective the following month with 30-day notice. Down-tier changes require 60-day notice and complete at the end of the next full quarter (to avoid scope cuts mid-quarter that compromise ongoing compliance cycles).

Care Packages are operations-specific recurring engagements with defined deliverables and SLAs. Dedicated engineers are project capacity you direct as you choose. Most production AI deployments need both: Care Package for operations, dedicated engineers for new feature work. The two contracts are separate but commonly held with the same vendor.

Yes, after a 4-week onboarding assessment to understand the existing architecture, eval harness state, audit log structure, and compliance posture. The onboarding identifies gaps that may need remediation before steady-state operations are possible. Remediation work is scoped separately if substantial.

Net-new AI feature development. Major architecture changes. FDA SaMD submission work (use the FDA SaMD pathway add-on). BAA Network Setup from scratch (use the BAA Network Setup add-on). Custom clinical NER training. SOC 2 or HITRUST audit fees (we coordinate; auditors bill separately).

Routine for production AI operations. Standard runbook: detect via monitoring, route to fallback provider if multi-provider routing is in place, communicate to clinical sponsor within 30 minutes, document for the post-incident review. Premium tier includes 1-hour 24/7 response SLA. Standard tier responds within 4 business hours.

If a clinical incident is reported that may be linked to AI behavior, we triage immediately regardless of tier. Premium tier engages within 1 hour. Standard and Essentials engage within their SLA windows. Incident response includes audit log forensics, eval harness replay where possible, root-cause analysis, and (if applicable) input to the hospital’s regulatory reporting under HIPAA and FDA reporting rules.

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Healthcare AI Care Packages — Recurring Operations for Production AI – Taction Software Solutions