# SCRIMED Platform Power Operations Brief

Status: api-ui-ai-platform-power-control-plane-active
Updated: 2026-06-26

## Boundary
SCRIMED Platform Power Operations organizes API contract governance, developer experience, versioning, authentication posture, tenant isolation, rate limits, idempotency, observability, operator-grade UI navigation, accessibility readiness, design-system discipline, AI model-routing readiness, agent orchestration, evaluation loops, retrieval/evidence intelligence, tool approval, cost controls, and safety boundaries for synthetic, business-contact, workflow, and metadata-only evaluation. It is an enterprise platform readiness layer only. It is not a public API SLA, production API marketplace launch, live autonomous AI authority, production model-routing approval, external LLM provider approval, PHI processing authority, EHR access approval, production connector approval, model-safety certification, security certification, accessibility certification, clinical validation, legal advice, financial advice, contractual uptime guarantee, managed service commitment, and it is not proof that SCRIMED has trillion-dollar-company-equivalent capacity.

## Authority
- API authority: contract-readiness-not-public-api-sla
- UI authority: operator-interface-readiness-not-accessibility-certification
- AI authority: no-live-autonomous-ai-authority
- Model authority: not-production-model-routing-approved
- Agent authority: human-approval-required-for-protected-actions
- Data boundary: synthetic-business-and-metadata-only
- PHI authority: not-authorized-production-phi
- Clinical care authority: not-authorized-live-care
- Connector authority: not-production-connector-approved
- Security certification: not-security-certified
- SLA authority: not-contractual-sla
- Trillion-scale authority: aspirational-design-not-scale-equivalence

## Counts
- Pillars: 9
- Controls: 12
- Workstreams: 7
- Cadences: 6
- Bottlenecks: 7
- Open bottlenecks: 7
- Proof routes: 31
- Hard stops: 53
- Blocked claims: 25

## Operating Path
- Classify every API, UI, and AI improvement by buyer value, authority boundary, owner, and proof route.
- Promote buyer-critical APIs into a contract register with versioning, schema, boundary headers, auth posture, examples, and smoke checks.
- Keep UI upgrades role-based and operator-grade: primary nav, hub view, product action, journey, limitation route, and proof stack.
- Keep AI paths in readiness mode until model provider, allowed data, evals, cost owner, monitoring, and human approval are approved.
- Route PHI, EHR, clinical, legal, finance, security certification, accessibility certification, SLA, and trillion-scale claims to Boundary Resolution before external use.
- Attach cost, latency, quality, support, and margin controls to every premium platform capability before enterprise packages expand.

## Pillars
- API contract productization (active-control-plane): Make every public or buyer-facing capability inspectable as a stable, versioned contract before enterprise buyers ask for integrations. Control: Route handlers, status headers, typed summaries, markdown briefs, route inventory, smoke tests, and future OpenAPI/SDK handoff stay aligned. Boundary: Contract readiness is not a public API SLA, external API marketplace launch, or production integration approval.
- Secure tenant API plane (human-review-required): Prepare tenant-scoped API access, role boundaries, AAL2 gates, audit trails, and metadata-only payload rules before production data appears. Control: Every tenant-facing path retains fail-closed checks, no-PHI rules, owner assignment, access review cadence, and protected workspace routing. Boundary: Tenant API planning does not approve PHI processing, customer-specific tenancy, production credentials, or live connector use.
- Rate limit, idempotency, and resilience (active-control-plane): Keep repeated requests, retries, queue pressure, and long-running work from creating duplicate evidence or unsafe operator load. Control: Idempotency keys, retry ceilings, throttling posture, duplicate-proof checks, dead-letter ownership, and fail-closed responses are required before scale claims. Boundary: Resilience design does not create contractual uptime, unlimited throughput, or autonomous production remediation.
- Operator-grade UI command surfaces (active-control-plane): Make the UI feel like an enterprise operating console: dense, navigable, role-based, and grounded in proof instead of marketing fog. Control: Homepage actions, hub console views, product summary cards, role journeys, limitation controls, and proof-stack sections stay cross-linked. Boundary: UI command readiness is not accessibility certification, buyer training completion, or customer approval.
- Design system, accessibility, and performance readiness (human-review-required): Reduce UI friction with consistent components, scanning-friendly hierarchy, mobile-safe layouts, keyboard-safe controls, and readable enterprise copy. Control: Route pages use stable sections, table rows, summary metrics, constrained copy, and smoke-visible navigation while accessibility review remains explicit. Boundary: Accessibility and performance readiness is not a WCAG audit, VPAT, Section 508 conformance claim, or external UX certification.
- AI model gateway and routing readiness (external-review-required): Prepare model routing, fallback, cost attribution, provider review, and output boundaries before any live model path is exposed to buyers. Control: Model choices, provider approvals, cost tags, failover design, prompt boundaries, output schemas, and human review rules stay in evidence-first planning. Boundary: Model gateway readiness does not approve production model calls, external provider processing, PHI use, or clinical validation.
- Agent orchestration with human approval (human-review-required): Build agents that plan, route, inspect, and recommend while humans retain clinical, legal, financial, customer, and production decisions. Control: Agents stay tied to scoped tools, approval states, QA packets, claim guards, runtime safety, audit trails, and blocked-action lists. Boundary: Agent orchestration readiness is not autonomous tool execution, live care authority, production remediation, or legal/financial advice.
- Evidence retrieval and knowledge intelligence (active-control-plane): Make every AI or operator answer trace back to evidence, source attribution, standards mapping, and safe no-PHI extraction rules. Control: Trust Cards, source intelligence, health-record safety checks, interoperability conformance, and boundary routes keep retrieval inspectable. Boundary: Retrieval readiness is not clinical validation, payer submission approval, patient matching approval, or EHR writeback authority.
- Platform cost, margin, and observability (active-control-plane): Protect margins while AI, API, storage, review, support, and evaluation workloads increase with enterprise pilots. Control: Usage thresholds, model cost controls, route-level telemetry, support load review, price floors, and change-order triggers stay connected. Boundary: Cost observability improves margin discipline only; it is not a profit guarantee, audited financial report, or accounting advice.

## Controls
- API contract register (active-control-plane): Track route owner, schema, examples, version, auth posture, data boundary, and blocked claims for buyer-critical APIs. Evidence: route, owner, schema, version, auth posture, boundary headers Hard stops: route lacks owner, schema missing, boundary headers missing, public API SLA implied
- API versioning and deprecation discipline (human-review-required): Prevent enterprise integrations from breaking silently as contracts mature from readiness to customer-specific use. Evidence: version policy, change log, migration path, deprecation window, buyer communication owner Hard stops: breaking change unannounced, migration path missing, customer-specific approval missing
- Tenant auth and scope review (human-review-required): Ensure protected APIs require the right identity, tenant, role, AAL2 path, revocation rule, and no-PHI payload scope. Evidence: tenant owner, role map, AAL2 gate, token handling, revocation rule Hard stops: PHI requested, production credential requested, AAL2 bypass attempted, tenant owner missing
- Idempotency and retry contract (active-control-plane): Avoid duplicated work, duplicate proof packets, and uncontrolled retries when API or agent jobs are repeated. Evidence: idempotency key, retry ceiling, duplicate detection, dead-letter owner, manual remediation path Hard stops: retry ceiling absent, duplicate evidence risk, dead-letter owner missing, autonomous remediation implied
- Rate limit and abuse control (human-review-required): Prepare quotas, throttles, and abuse-response behavior before enterprise pilots expand traffic or expose premium endpoints. Evidence: route class, quota, burst limit, abuse signal, operator escalation path Hard stops: unlimited usage promised, abuse path missing, contractual uptime implied, support coverage implied
- UI role journey control (active-control-plane): Make API, UI, AI, reliability, scale, business, and approval tasks discoverable by audience without requiring tribal knowledge. Evidence: primary nav link, hub view, product action, role journey, limitation link Hard stops: route orphaned, buyer-critical task hidden, limitation path missing
- UI quality and accessibility review (human-review-required): Keep enterprise UI layouts readable, navigable, responsive, and keyboard-reviewable before external demos or buyer training. Evidence: responsive route, copy review, keyboard path, contrast review, manual screenshot check Hard stops: text overlap, mobile route unusable, accessibility certification claimed, unreviewed external demo
- AI model-route register (external-review-required): Track provider, model, allowed data, blocked data, fallback, cost owner, eval pack, and approval status before model use expands. Evidence: provider, model class, allowed data, blocked data, fallback, cost tag, eval pack Hard stops: PHI routed to model, provider approval missing, production model approval implied, cost owner missing
- Agent tool approval and escalation (human-review-required): Ensure agents recommend and route work without executing protected, clinical, financial, legal, customer, or production actions alone. Evidence: allowed tools, blocked tools, approval trigger, escalation owner, audit output Hard stops: tool execution without approval, clinical action requested, contract or payment action requested, production remediation requested
- AI evaluation and red-team loop (active-control-plane): Convert repeated mistakes, hallucination risk, unsafe claims, and future AI research into eval sets, smoke checks, and controlled backlog. Evidence: eval set, claims guard, red-team prompt, regression owner, promotion rule Hard stops: error-free AI claimed, clinical validation claimed, unsafe output untriaged, public quantum claim made
- Evidence retrieval and source attribution (active-control-plane): Keep extracted data, summaries, and AI answers tied to source class, evidence route, freshness requirement, and reviewer boundary. Evidence: source class, evidence route, freshness check, confidence boundary, reviewer need Hard stops: source missing, PHI included, clinical validation implied, EHR writeback requested
- Platform cost, latency, and quality observability (active-control-plane): Track API, UI, AI, evidence, review, support, and model-cost pressure before enterprise packages outgrow margins. Evidence: cost owner, usage threshold, latency target, quality signal, margin floor Hard stops: profit guarantee claimed, cost owner missing, SLA implied, support commitment unfunded

## Bottlenecks
- API contracts are typed but not yet exported as OpenAPI or SDKs (human-review-required): Enterprise technical buyers can inspect live JSON and brief endpoints, but developer adoption will remain slower until formal contracts, examples, and SDK packaging exist. Workaround: Use route summaries, smoke-tested JSON, boundary headers, and markdown briefs as the interim contract packet. Gate: OpenAPI spec, examples, auth model, rate limits, SDK backlog, version policy, and developer docs are reviewed.
- Live AI model execution remains intentionally gated (external-review-required): The AI posture can be evaluated through architecture, agents, evals, and synthetic proof, but production model calls need provider, privacy, safety, cost, and legal review. Workaround: Use deterministic synthetic summaries, model-route registers, eval design, TrustOS checks, and human approval packets. Gate: Approved model provider, allowed data class, eval pass criteria, monitoring, human approval flow, and customer-specific authority exist.
- Accessibility certification is not complete (external-review-required): The UI can be improved continuously, but enterprise procurement may require formal WCAG, VPAT, or Section 508 review before certain buyer claims. Workaround: Run manual UI quality checks, keep layouts stable, avoid text overlap, expose role navigation, and retain accessibility review as a named gate. Gate: Qualified accessibility review, remediation evidence, VPAT or equivalent artifact, and approved external claims.
- Public API rate limits are readiness targets, not contracted terms (human-review-required): SCRIMED can scope route classes and quotas, but it cannot imply unlimited use, contractual uptime, or managed service coverage. Workaround: State route class, draft quota, throttle behavior, support assumption, and no-SLA boundary on enterprise packets. Gate: Contract, staffing, monitoring, incident response, support tier, and executive approval define the exact commitment.
- Agent tool approval needs production runtime approval (human-review-required): Agents can be described, evaluated, and routed, but protected actions need approval states, audit logging, and fail-closed runtime behavior. Workaround: Use agent registry, QA packets, claim guard, human approval rules, and protected workspace evidence before any execution claim. Gate: Approved tool schemas, human approval UI, audit persistence, rollback behavior, and customer-specific authority.
- Evidence retrieval remains synthetic and metadata-only (blocked-before-approval): SCRIMED can demonstrate source attribution, extraction planning, and Trust Cards without ingesting live PHI or protected medical records. Workaround: Use synthetic fixtures, no-PHI examples, source classes, external evidence references, and health-record safety gates. Gate: PHI authority, customer environment, BAA/DPA if required, security review, connector approval, and clinical governance approval.
- Trillion-dollar-scale positioning must stay evidence-based (human-review-required): The platform can be designed with world-class discipline, but SCRIMED cannot claim equivalent scale, staffing, certifications, or infrastructure until evidence exists. Workaround: Frame the product as enterprise-grade readiness with explicit proof routes, operating controls, and retained external gates. Gate: Audited scale evidence, customer proof, security certifications, support operations, incident history, financial controls, and qualified release approval.

## Blocked Claims
- trillion-dollar company parity guaranteed
- public API SLA approved
- production API marketplace launched
- unlimited API scale approved
- production API uptime guaranteed
- live autonomous AI approved
- production model routing approved
- external LLM provider approved for production PHI
- agent actions fully autonomous
- tool execution approved without human review
- RAG answers clinically validated
- model safety certified
- AI governance certification granted
- accessibility certified
- security certification granted
- SOC 2 certified
- HITRUST certified
- PHI processing authorized
- EHR access approved
- FHIR writeback approved
- payer submission approved
- clinical decision support authorized
- contractual uptime guaranteed
- managed service commitment active
- error-free AI guaranteed

## Next Build Step
Convert Platform Power into a contract-backed operating system: API contract register, role-based UI command paths, model-route register, agent approval workflow, evidence retrieval map, eval/red-team queue, accessibility review checklist, and cost/margin telemetry before external claims expand.