Executive Briefing
This document is classified as Confidential.
DME Express Internal Use Only.
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Confidential — DME Express Internal Use Only
Prepared by Ark Fortune  ·  Under the direction of Anirudh Padiyal

What Those 50 Hours Actually Are

Every day, DME Express's customer support team fields hundreds of inbound calls from hospice nurses and coordinators. The majority of these calls are not complex clinical situations. They are two repeatable, data-lookup tasks:

Order Status Lookups
Who calls Hospice nurse / coordinator
What they ask "When is the bed arriving?"
What agent does Looks it up in Core System
Judgment required Zero
New Equipment Orders
Who calls Hospice coordinator
What they do Reads patient info aloud
What agent does Types it into Core System
Judgment required Near zero

We are paying $18/hour for humans to be search engines. These two call types require no clinical expertise, no empathy, and no judgment. They require a database lookup and a verbal response — tasks a system can execute in 3 seconds.

The Daily Cost — In Plain Numbers

Staff on Calls
50
Customer support team members
Rate Per Hour
$18
Per agent (base wage)
Daily Call Hours
50 hrs
Collective team time on order calls
Daily Cost
$900
50 hrs × $18 = $900/day
Annual Cost
$225K
$900 × 250 working days

The Growth Trap

Palladium's acquisition strategy will add new branches, new hospice accounts, and significantly more inbound call volume over the next 3–5 years. Every deal DME Express closes brings growth — but under the current model, it also brings a proportional increase in support costs. That is a structural problem:

Today — Without AI

Every time DME Express acquires a new company, call volume increases. To handle that volume, we have to hire more support staff. Every new hire needs weeks of training. The result: support costs rise in a straight line with every acquisition — and every deal puts downward pressure.

More acquisitions = more people = more cost. Growth makes the problem bigger.

After AI Deployment

Every time DME Express acquires a new company, call volume still increases — but the AI absorbs it. No new hiring. No training period. Onboarding a new branch means connecting one API, not posting 10 job listings. Support costs stay flat while revenue grows — and margins improve with every deal.

More acquisitions = same cost = higher margins. Growth makes the business stronger.

What the Competition Is Already Doing

This is not a future technology play. DME and HME companies are actively running voice AI in their contact centers today. The question is not whether this becomes industry standard — it already is. The question is whether DME Express leads or follows.

AdaptHealth
Genesys Cloud AI deployed. 70%+ of sleep resupply orders fully automated. Actively scaling.
Amedisys
Deployed Element5 agentic AI for hospice workflow automation — 93% reduction in manual benefit verification. RPA scaling across revenue cycle. Voice AI next phase.
BrightSpring Health
Deployed Hyro conversational AI (via UST) for call handling — 96% faster resolution, 50% of calls fully automated. Internal ops first; patient-facing rollout underway.
National HME
Has not deployed voice AI. Still operating traditional call center model. This is the window — and it is open now.

The broader ecosystem is moving in the same direction. Qualis (DME+™ platform, 900+ supplier network) and Dragonfly Health (formerly StateServ, E3 Pro™ predictive analytics) are both modernizing the hospice DME supply chain with automation and data. Technology is no longer a differentiator in this market — it is the baseline expectation.

Verified Results from Real Healthcare Deployments

These are not vendor projections. These are documented outcomes from live enterprise deployments:

OrganizationPlatformResult
Inova Health SystemHyro AI50% of calls fully handled by AI within 6 months. 100% call coverage from AI on first answer.
Intermountain HealthHyro AI85% reduction in call abandonment. 44% of repetitive inbound calls automated.

Industry benchmark: Mature voice AI deployments in healthcare consistently achieve 40–70% call containment — meaning 40 to 70 out of every 100 calls are resolved without any human involvement. Our financial model uses a conservative 35% target for Year 1.

Next: The Solution