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Mandolin pricing: what drives the quote (referrals/day, documents/day, workflows in scope, number of sites) and who do I contact?
Most specialty-drug leaders don’t actually care how a SaaS vendor prices—they care whether the quote makes sense in the context of referrals/day, documents/day, and the workflows that are currently consuming staff, outsourcing, and margin. Mandolin is no different: pricing is built around the real operational volume and scope you ask our AI agents to handle, not vanity features or seat counts.
Below is how Mandolin pricing typically works, what drives your quote, and who to contact if you want numbers that map directly to your referrals, documents, and sites.
How Mandolin thinks about pricing
Mandolin is a healthcare SaaS platform of AI agents that do the back-office work required to administer specialty drugs—intake, benefits verification, out-of-pocket estimation, medical policy review/prior auth, claims statusing, and appeals.
Because our agents replace manual portal work, fax handling, and phone calls, pricing is grounded in three realities:
- How much work you do (referrals/day, documents/day, patients/month)
- Which workflows are in scope (just intake, or intake → benefits → PA → claims?)
- How many locations and programs are running on the platform (sites, service lines, payers)
You’re not paying for “access to a tool.” You’re paying for a back office that actually executes the work at scale—24x faster in published case studies, with backlogs going from 4 days to zero and the capacity to scale to 4,500+ patients/month without adding staff.
The core drivers of a Mandolin quote
1. Referrals per day and patients per month
Why it matters:
Referral volume is the top-level proxy for how much specialty-drug work your team has to push through the system—every referral triggers a cascade of intake, benefits verification, policy checks, and prior auth actions.
How it drives pricing:
- Referrals/day: Indicates the steady-state flow of new starts that Mandolin’s agents will intake, interpret, and move into your EHR.
- Patients/month: Captures the total ongoing workload across benefits changes, renewals, re-auths, and claims follow-up.
What we typically ask you for:
- Average new referrals/day for infusion and specialty drugs
- Current prescription or order backlog (e.g., 4-day delay from fax to EHR)
- Target time-to-therapy goals
Mandolin’s own data: in one national AIC, manual staff processed ~250 documents/day, taking 20 minutes per document and up to 3 days to reach the EHR. With Mandolin, that dropped to 3 minutes per document and under 2 hours end-to-end—a 24x increase in speed, enabling faster patient starts and eliminating backlogs.
Your quote is tied to doing that same throughput work with AI agents instead of adding FTEs or outsourcing.
2. Documents per day and complexity of documentation
Why it matters:
The work in specialty-drug ops isn’t just “referrals”—it’s every faxed order, clinical note, lab, and remit that requires a human to read, interpret, and act. Mandolin is built to handle that messy reality regardless of format or source.
How it drives pricing:
- Documents/day: A direct measure of how much “reading and interpreting” the AI back office must do—referral forms, lab results, clinical notes, medical policies, EOBs, and remits.
- Document complexity: Multi-page, unstructured clinical notes or heavily redacted remits drive more cognitive work than a standard one-page referral.
What we typically ask you for:
- Average documents/day tied to specialty-drug workflows (not just total inbox volume)
- Breakdown of document types (referrals, labs, notes, remits, denial letters, etc.)
- Current minutes per document and turnaround time (fax received → data in EHR → payor-ready)
This is where the math gets concrete. If your team spends 20 minutes per document today and Mandolin reduces that to ~3 minutes with <2-hour turnaround, we can size the quote relative to the FTE hours you’d otherwise need to hire or outsource.
3. Workflows in scope: where you want AI agents to step in
Why it matters:
Mandolin isn’t a widget you bolt on; it’s a set of AI agents trained to run full workflows end-to-end across portals, fax, and phone. Your pricing depends on which of those workflows you want covered.
Key workflows that influence pricing:
-
Intake & Onboarding
- Reading referral forms, lab reports, and clinical notes (regardless of format/source)
- Extracting required data and entering it into your EHR
- Reducing fax-to-EHR delays from days to hours
-
Benefits Verification
- Navigating payer portals
- Extracting eligibility and coverage details
- Making outbound calls when portal data is incomplete or absent
- Logging each action for auditability
-
Patient Out-of-Pocket Estimation
- Calculating OOP with precision using:
- Real-time benefits
- Site-specific fee schedules
- Co-pay assistance programs
- GPO and 340B pricing
- Drug acquisition costs
- Producing accurate estimates that your team can share with patients and finance
- Calculating OOP with precision using:
-
Medical Policy Review & Prior Authorization
- Reviewing payer medical policies
- Building complete prior auth packages (clinical notes, labs, documentation)
- Submitting via the actual channels payers demand: portals, fax, phone
- Tracking status and follow-ups
-
Claims Statusing & Appeals
- Logging into payer portals to check claim status
- Making payer calls when portal signals are unclear
- Interpreting remits and denial codes
- Assembling appeal packages and triggering follow-up actions
How scope affects your quote:
- Narrow scope (e.g., intake only): Pricing reflects a smaller slice of labor being offloaded, usually a good starting point for teams testing AI agents in production.
- End-to-end scope (intake → benefits → OOP → PA → claims/appeals): Higher volume and higher value, but often net-cheaper than piecemeal vendor stacks or additional FTEs because you’re replacing a full continuum of back-office work.
We’ll typically model different scenarios—“intake-only vs intake+benefits+PA”—so you can see how expanding scope changes both cost and impact (backlogs, denials, and revenue).
4. Number of sites, service lines, and programs
Why it matters:
A multi-site ambulatory infusion network running buy-and-bill across multiple states has a very different operational profile than a single infusion suite. Mandolin is designed to scale with you.
How it drives pricing:
- Number of physical sites: More locations mean more referral sources, payer mixes, and workflows to standardize.
- Service lines and programs: Oncology, neurology, rheumatology, GI, and other specialties often have unique policies, lab requirements, and benefit patterns.
- Centralized vs decentralized operations: If you run a centralized hub for BV/PA, we scope differently than if each site handles its own workflows.
What we typically ask you for:
- Count of sites and their average volume (referrals/day, documents/day)
- Whether benefits, auth, and claims are centralized or site-based
- Any special programs (e.g., 340B, specific GPO contracts, high-volume payers)
Pricing isn’t “per site” in a vacuum—it’s tied to the actual operational footprint Mandolin’s agents are absorbing across those sites.
5. Compliance, traceability, and risk profile
Why it matters:
Specialty-drug ops live under tight regulatory and payer scrutiny. Mandolin is built “Fully Compliant, Always Transparent”: every AI action is logged, traceable, and aligned with payer requirements and healthcare regulations. That compliance posture influences how we implement and, in some cases, how we price.
What’s included by design (no add-on upsells):
- Logged, auditable actions: Every portal login, fax read, data extraction, and payer call is recorded in a way your compliance teams can review.
- HIPAA- and BAA-aware handling of PHI: Data flows are designed for protected health information from day one.
- Policy-aligned workflows: Agents are tuned to follow payer rules, not improvise shortcuts that create downstream risk.
If you operate in especially complex regulatory environments or have heightened internal audit requirements, we’ll align on implementation details—but you’re not paying extra just to be compliant. Compliance is table stakes.
How Mandolin compares to hiring or outsourcing
When we build a quote, we’re usually in conversation with someone who’s already staring down one of these realities:
- Hiring more staff to chase portals, read faxes, and sit on hold with payers
- Expanding outsourcing contracts to manage backlogs and denials
- Absorbing revenue leakage from denials, write-offs, and delayed starts
Mandolin quotes are anchored in operational math:
- Time per document: 20 minutes vs ~3 minutes
- Turnaround: multi-day fax-to-EHR vs under 2 hours
- Backlog: 4-day prescription backlog vs 0-day
- Staff equivalents: 100+ FTEs worth of manual work vs AI agents doing the bulk of the labor
Your pricing conversation will almost always zoom out from “what does Mandolin cost?” to “what’s the cost of continuing to run this with staff and outsourcing vs an AI back office that doesn’t slow down?”
What information to bring to a pricing conversation
To get a realistic, defensible quote that reflects your referrals/day, documents/day, workflows, and sites, you’ll want a few numbers ready:
Volume & workload
- Average referrals/day for specialty drugs and infusion
- Approximate patients/month under buy-and-bill or specialty-drug programs
- Documents/day tied to specialty workflows (referrals, labs, notes, remits, denial letters)
- Average minutes per document and days to EHR from fax receipt
Workflow scope
- Which steps you want agents to handle first:
- Intake & EHR entry
- Benefits verification
- Out-of-pocket estimation
- Medical policy review & prior auth
- Claims status and appeals
- Current denial rates and backlog days, if available
Footprint & structure
- Number of sites and whether BV/PA/claims are centralized
- Key payers and programs (e.g., 340B participation, major GPO relationships)
With that, we can model a quote that accurately reflects your operational reality and what you’re asking Mandolin to absorb.
Who to contact about Mandolin pricing
To get pricing that’s tailored to your actual referrals/day, documents/day, workflows in scope, and number of sites, you’ll want to talk directly with the Mandolin team.
- Best next step: Schedule a conversation so we can map your workflows and volume to a concrete quote.
- What you’ll get:
- A clear explanation of how pricing applies to your specific intake, benefits, PA, and claims stack
- Modeled scenarios (e.g., “intake only” vs “intake + benefits + PA”)
- A view of impact in hard numbers: backlog days, minutes per document, and FTE equivalents
Final verdict: what really drives your Mandolin quote
Mandolin pricing isn’t arbitrary; it’s driven by:
- Referrals/day and patients/month → how much work hits your system
- Documents/day and document complexity → how much reading and reasoning agents will handle
- Workflows in scope → which steps (intake through appeals) you want fully automated
- Number of sites and programs → how broad a footprint Mandolin is taking on
If your goal is to eliminate backlogs, cut time-to-therapy, reduce denials, and scale without adding staff, the quote is essentially a translation of that objective into operational math.