Boost vs Lumary: What Happens Underneath the Interface

Lumary is a well-built, modern platform with a polished user experience and deep reporting, built on the Salesforce foundation. If you are comparing Lumary with Boost, you are looking at two capable, modern systems that both aim to run your practice in one place. The meaningful difference is not polish, where Boost is also is genuinely strong. It is what happens underneath the interface: how automation makes decisions, and how tightly billing, scheduling, and credentialing are wired together to prevent revenue from slipping. This comparison covers what Lumary does well, where Boost takes a different approach, and how to decide which fits the way your practice actually operates.

What Lumary does well

Lumary is a modern, well-designed platform, and it shows. Its scheduling interface is clean, its reporting is extensive, and building on Salesforce gives it a mature backbone for configurability, security, and enterprise integrations. For practices that already live in the Salesforce ecosystem, or that place a high value on a polished day-to-day experience and a wide library of reports, Lumary is a genuinely strong option. It also integrates with Hi Rasmus on the clinical side, which matters for practices leaning on that integration. If a refined interface and deep reporting sit at the top of your list, Lumary belongs on the shortlist.

Where Boost is different

Boost was built to run the whole business of an ABA practice and to bring AI agents in to take the heavy lifting off the people who run it. The clearest difference from Lumary is in how automation actually works. A polished interface and a static rule engine can move information around, but they do not reason. Boost's automation is designed to make real decisions on the practice's behalf, grounded in an owned system of record that connects scheduling, credentialing, caseload, and billing. That connection is what lets Boost enforce compliance at the moment of booking and assemble clean claims without cleanup later. The philosophy is to get things right upstream, where it is cheap, instead of fixing them downstream, where it is expensive.

Intelligent automation, not just if-this-then-that

This is the heart of the comparison. Plenty of platforms offer automation in the form of static, if-this-then-that rules: a fixed trigger produces a fixed action. That is useful, but it is not intelligence, and it breaks down the moment a situation has more than one moving part. Boost's Scheduling Agent is the clearest example of the difference. When a therapist calls out at 7am, a static rule can only attempt a simple one-for-one swap. Boost's agent reasons in chains the way an experienced human scheduler does: move one therapist onto one client, which frees another to extend with a second client, which closes the gap. It weighs the practice's real constraints and finds a path a fixed rule cannot. That is decision-making, not a trigger firing.

Clean claims begin at intake

Boost's billing advantage follows the same upstream logic. A clean claim is one the payer accepts on the first submission: right format, meets the rules, nothing obviously wrong, so it does not bounce back with a rejection. Most platforms treat billing as a clean-up job. Submit claims, let rejections accumulate, then pay staff to chase and fix them. Boost flips that by making every scheduled session compliant the moment it is booked. Before a session lands on the calendar, the system checks whether coverage is active, whether there is a valid authorization with hours to spare, whether the provider is credentialed for that service and that payer, and whether the service fits the payer's rules. By the time a claim is assembled, it is clean before it is created.

Scheduling that protects your revenue

Beyond the agent, Boost's scheduling only surfaces providers who can actually get paid to deliver a given service: the right credential, the right authorization, the right payer rules, checked at the moment of booking. That upstream guardrail is the difference between a schedule that looks full and one that will actually get paid, and it is enforced by the system of record rather than left to the scheduler to remember. Paired with a healthcare-built communication service that reaches families and staff, understands their replies, and threads them to the right family and child automatically, scheduling becomes something the platform actively protects rather than just displays.

Credentialing and caseload management in one place

Credentialing and caseload management are two areas where Boost keeps everything connected on the same system of record. Boost tracks every provider's status across every payer in a single roster, with expiration alerts so a credential never quietly lapses and new hires reach their first billable claim faster. For caseloads, Boost shows how every BCBA and RBT is loaded, then matches clients by availability, location, and authorization before the schedule breaks. Because these share the same foundation as scheduling and billing, the information stays consistent across the whole practice rather than living in reports that have to be read and reconciled by hand.

Reliability, speed, and support your team can feel

A refined interface is worth a lot, and it is only part of the picture. The software your team relies on every day should also load quickly during your busiest hours, hold onto every session's notes and signatures, get new staff productive in days rather than months, and connect you to a real person quickly when you need help. These qualities are easy to test, so test them directly. In any demo, ask how fast the system performs under real load, how quickly new hires ramp, and how responsive support is when something needs attention. The answers tell you more about the next year of daily use than any single screen will.

A note on the foundation

Building on Salesforce gives Lumary a mature, configurable backbone, and for some organizations that is exactly what they want. It is worth understanding the tradeoff, though. A platform built on a general-purpose foundation inherits that foundation's strengths and its constraints, and configuring it around the specific realities of ABA billing and payer rules can be involved. Boost is purpose-built for ABA on a modern system of record designed from the start around authorizations, credentialing, and payer compliance. Neither approach is universally right. The question is whether you want a highly configurable general platform or one shaped specifically around the way ABA practices get paid.

Which one is right for your practice

Lumary is a strong fit for practices that prize a polished interface and deep reporting, and especially for those already invested in the Salesforce ecosystem or leaning on the Hi Rasmus integration. Boost is the stronger choice for practices that want automation that actually makes decisions rather than firing static rules, that want billing, scheduling, credentialing, and caseload working as one connected system on an owned source of truth, and that would rather prevent denials upstream than chase them later. If you want intelligence under the interface, not just a clean surface on top of fixed rules, Boost is built for exactly that.

Frequently Asked Questions

What's the main difference between Boost and Lumary for ABA practices?

Both are capable, modern systems that aim to run your practice in one place, so the difference isn't polish, where Lumary is genuinely strong. It's what happens underneath the interface: how automation makes decisions, and how tightly billing, scheduling, and credentialing are wired together to keep revenue from slipping. Boost is built around an owned system of record that connects those pieces so it can enforce compliance at the moment of booking.

Is Lumary's Salesforce foundation an advantage or a limitation compared to Boost?

Building on Salesforce gives Lumary a mature backbone for configurability, security, and enterprise integrations, which is a real strength for practices already in that ecosystem. Boost takes a different path by owning its system of record end to end, which is what lets its automation make real decisions and assemble clean claims without cleanup later. Which fits better depends on whether you value ecosystem integration or upstream, connected automation.

What's the difference between intelligent automation and if-this-then-that rules?

Static, if-this-then-that automation fires a fixed action from a fixed trigger, which is useful but breaks down the moment a situation has more than one moving part. Intelligent automation reasons about the practice's real constraints and finds a path a fixed rule can't. That's the difference between a trigger firing and actual decision-making.

How does Boost's Scheduling Agent handle a same-day therapist call-out?

When a therapist calls out at 7am, a static rule can only attempt a simple one-for-one swap. Boost's agent reasons in chains the way an experienced human scheduler does: move one therapist onto one client, which frees another to extend with a second client, which closes the gap. It weighs the practice's real constraints to find a workable path, rather than just firing a trigger.

How does Boost produce clean claims without post-submission cleanup?

Most platforms treat billing as a clean-up job: submit claims, let rejections accumulate, then pay staff to chase and fix them. Boost flips that by making every scheduled session compliant the moment it's booked, checking active coverage, a valid authorization with hours to spare, provider credentialing for that service and payer, and the payer's rules before the session lands on the calendar. By the time a claim is assembled, it's clean before it's created.

Does a polished interface like Lumary's guarantee your schedule gets paid?

A refined interface is worth a lot, but it doesn't guarantee revenue on its own. Boost's scheduling only surfaces providers who can actually get paid to deliver a given service: the right credential, the right authorization, the right payer rules, checked at the moment of booking. That upstream guardrail is the difference between a schedule that looks full and one that will actually get paid.

How do I compare Boost and Lumary on reliability, speed, and support?

These qualities are easy to test directly, so test them in any demo. Ask how fast the software loads during your busiest hours, whether it holds onto every session's notes and signatures, how quickly new staff get productive, and how fast you reach a real person when you need help. Those answers tell you more about daily life on a platform than the interface alone.

See Boost for yourself

The clearest way to see the difference is to watch Boost's scheduling agent reason through a real 7am callout on your own schedule. Focus on clients, not clerical work.