Context
Assured Allies embeds with long-term care insurance providers to proactively reach out to policyholders — helping them access interventions (exercise programs, medication management, home modifications) that reduce the likelihood of entering a care facility.
The problem: scheduling those reachouts is done manually with no consistent cadence. There's no logic for when to follow up after an intervention, no automation, and no feedback loop. The result is inconsistent coverage, missed windows, and opportunities to intervene that pass before contact is made.
Reachout timing is a clinical problem, not just an operational one. A policyholder who received a medication management device and hasn't heard back in two weeks is more likely to have abandoned the intervention than one who received a follow-up call in two days. Getting timing right is how you get outcomes.
Personas
Two distinct personas, with different relationships to the scheduling problem:
- The policyholder — direct recipient of the reachout. Values feeling heard, knowing someone has a plan, and not being overwhelmed. From personal experience caring for older family members: the worst outcome isn't too many calls — it's the sense that nobody is following through.
- The ally (Assured Allies staff) — the person making the calls. A better scheduling system reduces their manual workload, gives them a prioritized call list, and frees them to focus on the conversation rather than figuring out who to call next.
The scheduling solution serves both: better cadence for the policyholder, better operational tooling for the ally, better clinical outcomes for the insurer.
Why the MVP Isn't Enough — But Start There Anyway
The obvious MVP: a generic two-week cadence for all reachouts, regardless of intervention type. It's consistent, easy to implement, and creates baseline coverage where there is none.
But it's worth being honest about the gaps. Two weeks is wrong for too many interventions.
- A policyholder who left a voicemail shouldn't wait two weeks for a callback — that's a missed signal of engagement
- A policyholder who received a medication management device may have a simple setup question; two weeks of silence risks non-adherence
- A policyholder who received discharge planning education is in an active transition — a two-week delay creates real clinical risk
Generic timing risks lost policyholder motivation, missed intervention windows, and — in some cases — adverse events. That said: start with the two-week cadence anyway. It establishes rhythm, lets the team validate the automation stack, and creates a baseline to measure against. Ship the rubric model next.
The Tiered Model
Interventions are classified into three tiers based on clinical urgency and the time-sensitivity of the follow-up. Tier classification was informed by surveying nurses, PTs, and PTAs — not PM intuition.
Scheduling Rubric
Full classification of interventions, based on clinical feedback from nurses, PTs, and PTAs:
| Intervention | Tier |
|---|---|
| Voicemail | Tier 1 |
| Educate on discharge planning / services | Tier 1 |
| Arrange home safety evaluation | Tier 2 |
| Arrange home modification | Tier 2 |
| Send assistive device | Tier 2 |
| Send medication management equipment | Tier 2 |
| Educate on medication management | Tier 2 |
| Set up online caregiver education and support | Tier 2 |
| Caregiver coaching | Tier 2 |
| Home optimization education & coaching | Tier 3 |
| Subscription to Team Vivo exercise program | Tier 3 |
| Send vitals log and educational materials | Tier 3 |
| Educate on chronic condition management | Tier 3 |
| Set up Chronic Disease Self Management Course | Tier 3 |
| Educate on bathing | Tier 3 |
| Educate & coach on home optimization | Tier 3 |
| Set up policyholder with transportation options | Tier 3 |
| Create activity calendar | Tier 3 |
| Health coaching | Tier 3 |
| Connect with Friendship Line / local council on aging | Tier 3 |
| Send support materials | Tier 3 |
Automation Stack
The scheduling logic only scales if it's automated. Manual scheduling is the current state — it's where the inefficiency lives.
CRM as the source of truth. The CRM tracks the last intervention per policyholder and calculates the next reachout date based on tier. This populates the ally call list daily — no manual planning required.
Automated outbound calling (Twilio or equivalent). The CRM feeds into an automated cloud-based call center. Each day, the system works through the list, making outbound calls. When a policyholder answers, the call is handed to a live ally immediately.
The handoff is critical. Policyholders who pick up and hear silence — or a robotic opener — will assume scam and hang up. All outbound calls must display Assured Allies caller ID and connect to a live person within seconds of the policyholder saying hello.
Reminder notifications. Policyholders receive an alert (SMS, email, or call — their preference) 4 days before the scheduled reachout and again the day before. This reduces missed calls and gives policyholders a sense of structure.
Secondary contact consent. Policyholders can elect a secondary representative to receive reachouts on their behalf if they're unavailable. Reduces missed contact without requiring repeated call attempts.
Roadmap
MVP
Tiered
ML/AI
Success Metrics
Operational
Time per interaction decreases. Successful contact rate increases. Ally call list is auto-generated daily with no manual scheduling.
Engagement
Policyholder reachout coverage increases. Voicemails and missed calls decrease as reminder notifications reduce missed windows.
Clinical
Intervention adherence improves — especially for Tier 1 and Tier 2 cases where follow-up timing directly affects outcomes.
Financial
Over time: policyholders age in place longer, reducing insurer claim frequency. Reduction in premiums paid is the long-term North Star metric.