Operational playbooks, integrations & pricing for absence-management services — share your templates and patterns

We’re collecting concrete, vendor-neutral playbooks and examples from people who run or integrate absence/return-to-work services. Please share first-hand, copyable artifacts and practical lessons on these topics:

- Core operational playbooks and workflows: intake → case triage → clinical review → RTW planning → escalation → closure. Link or paste checklists, SLA wording, consent language, and task lists you use.
- Tech stacks & integration patterns: HRIS/payroll connectors (Workday, UKG, ADP, BambooHR, etc.), EHR/telehealth links, event-driven vs batch sync patterns, common APIs/middleware, and typical data models/field mappings.
- Compliance & privacy controls: consent workflows, minimal dataset principles, encryption at rest/in transit, role-based access, audit trails, data retention and disposal rules, and jurisdictional checklist items (FMLA, ADA, GDPR, HIPAA, local sick-leave laws).
- Pricing & commercial models that work: per-case, per-employee-per-month (PEPM), tiered subscriptions, outcome or ROI-sharing models — include typical price ranges, how you model margins, and break-even volume assumptions.
- Client onboarding & retention tactics: implementation timelines, change-management steps, training materials, go-live checklists, and what upsells/packaged services actually stick.
- Metrics and dashboards you track: time-to-contact, case resolution time, RTW rate, payroll leakage recovered, SLA compliance, utilization, NPS, churn drivers.
- Data-security vs profitability tradeoffs: examples of controls or architectures you adopted that preserved margins (e.g., pseudonymization, client-side encryption, managed hosting choices) and where the cost/benefit surprised you.

What worked, what failed, and any templates (SLA snippets, consent form language, onboarding agendas, API mappings) you can paste or link to would be hugely helpful. If you’ve benchmark numbers (margins, implementation hours, avg cases per FTE), please include context (region, client size, vertical).