Chrysanthemum Enterprise
Chrysanthemum Enterprise
Chrysanthemum Enterprise Enterprise AI transformation platform
Chrysanthemum Enterprise is a platform-level offering rather than a single point solution — it provides the shared infrastructure, governance, and monitoring layer that lets an organization deploy and manage multiple AI use cases (like Azalea Triage or Violet Review) under one unified system, rather than standing up isolated tools per department.
Key capabilities:
- Multiple AI use cases: Supports deployment of various AI applications (clinical, operational, administrative) on a common foundation rather than siloed point solutions
- Shared data infrastructure: Centralized data layer so use cases can draw on consistent, governed data sources instead of duplicating pipelines
- Governance: Policy enforcement, access controls, and compliance guardrails applied consistently across all deployed AI use cases
- Model monitoring: Ongoing performance, drift, and accuracy monitoring across every model in production, with alerting when something degrades
- Integrations: Connective layer to existing enterprise systems (EHR, ERP, data warehouses, identity providers) so individual use cases don't each need custom integration work
- Executive reporting: Rollup dashboards and reporting for leadership to track AI adoption, performance, ROI, and risk across the organization
Ideal for: Large healthcare systems or enterprises running (or planning to run) several AI initiatives simultaneously who need centralized oversight, consistent governance, and infrastructure reuse rather than managing each AI tool as a one-off deployment.
Chrysanthemum Enterprise — Price breakdown ($250,000)
| Category | Description | Estimated Cost |
|---|---|---|
| Core platform license | Shared data infrastructure, governance layer, model monitoring, executive reporting (annual license) | $105,000 |
| Implementation & integration | Enterprise system connections (EHR, ERP, data warehouse, identity provider/SSO) | $55,000 |
| Data infrastructure setup | Centralized data layer build-out, pipeline consolidation across use cases | $30,000 |
| Governance & policy configuration | Access controls, compliance guardrails, policy enforcement rules across use cases | $22,000 |
| Model monitoring setup | Drift/performance monitoring instrumentation across all deployed models | $15,000 |
| Executive reporting & dashboards | Rollup reporting, adoption/ROI/risk dashboards for leadership | $10,000 |
| Staff training & onboarding | Admin, governance, and technical team training | $8,000 |
| First-year support & monitoring | Platform uptime monitoring, governance reviews, ongoing tuning | $5,000 |
| Total | $250,000 |
Notes on structure:
- This is a platform-level, first-year all-in price — it covers infrastructure and governance, not the individual AI use cases (e.g., Azalea Triage, Violet Review) that run on top of it. Those are typically priced and licensed separately per use case.
- Renewal years usually drop to license + support only (no repeat implementation/integration cost), landing around $130–145K/year.
- Because this is infrastructure-heavy rather than a single application, cost weighting shifts significantly based on how many existing systems need integration and how fragmented the current data landscape is — organizations with more legacy systems will see integration costs rise proportionally.
- If use cases are meant to be bundled (e.g., Chrysanthemum Enterprise + Azalea Triage + Violet Review as a package), there's often room for a multi-product discount rather than pricing each independently — happy to model that out if useful.