Key Takeaways
- ABA practice management software has converged on interface improvements: most platforms have spent the past decade making administrative tasks cleaner to perform manually rather than eliminating them altogether.
- Scheduling complexity is the most common operational complaint in ABA, and the math behind rescheduling hundreds of clients after a single cancellation is the problem Boost is leading with as the signature sponsor at CASP 2026.
- Boost’s agentic AI scheduling feature is clinic-specific by design, requiring individual configuration of provider rules before it can generate useful output, which is why the CASP preview is built around closed-door, one-on-one demos.
- Switching costs remain the primary barrier to ABA EMR adoption, and Boost’s implementation model is designed to absorb that burden rather than transfer it to the client.
- Efficiency is the only lever available to ABA providers in a fixed-reimbursement environment: Boost’s automation strategy is built around that constraint, targeting overhead reduction rather than revenue expansion.
Scheduling in a multi-site ABA clinic is not, in any meaningful sense, a calendar problem. It is a constraint satisfaction problem that scales exponentially. Match a therapist to a client. Account for authorization limits, credential requirements, drive time, and the client’s preferred provider. Do it for hundreds of clients simultaneously. Then have one staff member call out sick.
That cascade effect, familiar to any ABA operations director who has managed it manually, is the problem Boost is building toward. The company, which operates as an ABA practice management and EMR platform, is previewing a new suite of automation features at the Council of Autism Service Providers annual conference in Las Vegas later this month. The features move beyond the interface improvements that have defined the ABA technology market for the past decade.
“What we have the capability to do now, especially given all the leaps and bounds in agentic AI, has unlocked lots of new capabilities on the engineering side,” said Stephen Donaldson, Chief Revenue Officer at Boost. “The next iteration of what the market needs is to stop making better buttons and make it so that people don’t have to press as many buttons. Let’s get some computing power in the background to handle the administrative tasks, the repetitive tasks.”
ABA Scheduling Software Has a Complexity Problem That Better Interfaces Can’t Solve
Donaldson’s framing reflects a deliberate critique of where the ABA software market has landed. By his account, the field has produced a generation of platforms that are genuinely better to use than their predecessors, with cleaner interfaces, mobile apps, and more intuitive workflows. The problem is that the underlying model remains unchanged: a human being still has to press a button for every meaningful action the system takes.
Boost’s answer to that model is what Donaldson describes as a “black cockpit” approach to clinic operations. The term comes from aviation: a cockpit where instruments are dark unless something requires the pilot’s attention, rather than one that requires constant monitoring. Applied to an ABA clinic, the vision is a platform where intake, insurance verification, scheduling, session data, and billing happen automatically in the background, surfacing only when something goes wrong or needs a decision.
“All the same things still have to be done in the day-to-day of a clinic,” Donaldson said. “You have to intake a family, collect their insurance information, schedule them, match them with the appropriate provider, collect data during a session, turn that session into a bill. All that still needs to happen. But having it automated to the point where staff get alerted only if something needs attention: that’s really how we’re thinking about the space.”
The practical target is scale without overhead. By Donaldson’s model, the operations staff a clinic currently employs to manage one site could manage three, not because they work harder but because the system absorbs the work that does not require a human judgment call.
Agentic AI for ABA Scheduling: Why One-Size Demos Don’t Work
Boost is leading its preview at CASP 2026 (where it will be the signature sponsor) with AI-driven scheduling, and the choice of where to start is intentional. Scheduling is consistently the most complained-about function in ABA practice management, and for reasons that compound as an organization grows. The math behind matching hundreds of clients to providers, accounting for authorizations, credential requirements, and real-time cancellations, approaches what Donaldson calls “NASA level” complexity at scale.
Industry observers and behavioral health operators have noted that many platforms claiming AI capabilities have layered the term onto existing automation rather than building tools that can adapt dynamically to clinic-specific conditions. Donaldson made a point of acknowledging that tension directly.
“The feature uses agentic AI to generate and regenerate scheduling configurations based on a clinic’s specific rules, rather than applying a fixed algorithm. But that customization is precisely what makes the rollout more complex than flipping a switch.”
“If you build agentic AI into scheduling and let it start to compile matches, there are rules that apply only to certain clinics that others don’t have,” Donaldson said. “We may need to input a parameter specifically for one client that we don’t necessarily need for another. Some of it is a little couture.”
That customization requirement is why Boost is previewing the feature in closed-door sessions at CASP rather than on a large screen at the booth. The company is scheduling individual demos where it can ask about a clinic’s specific scheduling rules and configure the tool in real time to match them. The goal is to demonstrate the feature’s capabilities in a context where it is actually useful, rather than showing a generic configuration that a prospective client would have to mentally translate to their own operations.
Early trials, which Donaldson said began the week of April 7 with existing clients in Atlanta and at other locations with team members on site, are following a deliberate progression: simple single-site clinics first, then multi-site organizations with more complex scheduling constraints, to validate the feature across the range of use cases before a broader rollout.
The predictable result of real-world testing is also the most valuable one. Clients reviewing early configurations have flagged rules the system did not know: a provider who requested a break from a particular program, a client who cannot be scheduled with a specific therapist for reasons that exist only in someone’s institutional memory. Each of those flags becomes a refinement.
“Someone will look at the schedule and say, ‘Amazing, ninety percent there. But I didn’t tell you this one child cannot be with this provider,'” Donaldson said. “I wouldn’t know that. So the work is getting that information out of people’s heads and into the system, and then showing them how they can affect those same rules going forward.”
ABA EMR Implementation: How Boost Is Trying to Absorb the Switching Cost
The hardest sell in the ABA EMR market is not product quality. It is the switching cost. Providers who have spent years building workflows, entering data, and training staff inside a platform like CentralReach or Rethink face a transition that can stretch for months, consume clinical leadership’s attention, and disrupt billing operations in ways that directly affect cash flow. The rational response, for many practices, is to stay put.
CentralReach, acquired by Roper Technologies for $1.65 billion in 2025 and now operating as a subsidiary of the publicly traded company, serves more than 4,000 organizations and roughly 200,000 clinicians. Industry estimates place the platform’s starting cost at around $50 per employee per month before add-on modules. User reviews consistently cite cost and the complexity of the platform’s advanced features as the primary sources of dissatisfaction. Donaldson noted that the platform’s pricing trajectory and contract terms have reinforced the switching-cost dynamic.
“Central Reach has certainly made that easier because they just charge more and more all the time and they’re requiring people to sign longer engagements,” Donaldson said. “As people start to do the math, it’s like, this is really getting out of hand and I’m committing to a lot here.”
Boost’s strategic response is to own the implementation process rather than hand it to the client. The company employs BCBAs, former clinic schedulers, and revenue cycle management specialists whose job during onboarding is to diagram a new client’s existing workflows, identify inefficiencies, and build the platform to match the improved version of those processes rather than a generic template. Given that federal scrutiny of ABA billing compliance has intensified in recent years, the RCM expertise embedded in Boost’s onboarding team carries additional weight.
“We diagram how you do intake, how you schedule, how you verify before you send something to billing,” Donaldson said. “We present that back to the customer and then help them improve that workflow before we build it into our platform. If we can take a ten-step process to seven steps, that’s already a win before the client touches the software.”
The approach also addresses a phenomenon Donaldson describes as common in faster-growing clinics: organizations that have expanded quickly enough that their workflows were never examined, only inherited. The person doing intake does it the way the previous person did it because that is how they were trained, not because anyone evaluated whether it was the most efficient path. The onboarding process surfaces those assumptions.
The practical output of that process is a system that, by go-live, reflects the clinic’s actual operations rather than a foreign environment staff have to learn from scratch. Data migration, manual entry, and staff configuration are handled by Boost’s team rather than delegated to a practice that is simultaneously trying to keep running. This model also addresses a challenge that has become more acute as payer billing restrictions have tightened: the cost of a botched transition, in terms of claim errors and lost reimbursement, is higher than it has ever been.
Efficiency Is the Only Lever in ABA: The Business Case for Automation
Underlying the product strategy is a fairly direct view of the economics of ABA service delivery. Commercial payers set reimbursement rates. Providers have limited ability to negotiate them upward in any meaningful way. The margin on delivering ABA therapy is, for most organizations, not something that improves by doing the same work more expensively or with more people.
“The only thing you can do to have a successful business in a low-margin human services industry like this is to be efficient,” Donaldson said. “If you’re getting reimbursed at a fixed rate and you can’t meaningfully negotiate that rate, efficiency is the key. If you want to scale, if you want to grow, if you want to one day be acquired by a larger organization, what matters most is getting those processes as efficient as possible with the least overhead.”
That framing positions automation not as a cost-cutting exercise but as the mechanism that frees clinic staff to do the work that actually requires a person: engaging with families, discussing programs, conducting tours, building the relationships that retain clients and generate referrals. By Donaldson’s account, the clinic coordinator who spends her day importing and exporting data is not being used well, and neither is the executive who works weekends trying to keep up with administrative tasks a system could handle. For ABA practices considering a sale or recapitalization, operational efficiency documented in clean systems is also increasingly a factor buyers examine during due diligence.
Boost is presenting that argument at CASP, which runs April 26 through 28 at Mandalay Bay in Las Vegas. The conference draws the operators and executives who make purchasing and operational decisions for ABA practices, making it the primary venue for technology vendors targeting mid-market and enterprise-level providers. Boost is the signature sponsor and is using the event to preview its new automation features in closed-door, one-on-one sessions.
Frequently Asked Questions:
What is Boost, and who is it designed for?
Boost is an ABA practice management and EMR platform built for behavioral health providers. The platform integrates intake, scheduling, billing, and compliance workflows and is designed to serve ABA clinics ranging from single-site practices to multi-site organizations. Its current development focus is on automating administrative functions through agentic AI so that clinic staff spend less time on manual data entry and more time on direct client engagement.
How does agentic AI improve ABA scheduling software?
Agentic AI refers to AI systems that can take sequences of actions toward a goal rather than simply responding to individual inputs. Applied to ABA scheduling, Boost’s tool generates and re-optimizes staff-to-client schedules based on clinic-specific rules including provider credentials, client preferences, authorization limits, and real-time availability. When disruptions occur, such as a staff cancellation, the system can re-optimize the entire schedule rather than requiring manual adjustment. The configuration requirement means the feature is more powerful when customized to each clinic’s rules, which is why Boost is previewing it through individual demos rather than a general product rollout.
How does Boost compare to CentralReach as an ABA practice management platform?
CentralReach, now a subsidiary of Roper Technologies following a $1.65 billion acquisition that closed in 2025, serves more than 4,000 ABA organizations and roughly 200,000 clinicians. It is broadly positioned for large and multi-site organizations. Boost differentiates on three dimensions: pricing and contract structure, which CentralReach reviewers frequently cite as a growing concern; implementation model, where Boost takes on the transition burden rather than handing it to the client; and automation philosophy, where the focus is on reducing the number of manual steps required rather than improving the interfaces through which those steps are performed.
How long does migrating to a new ABA EMR system actually take?
Timeline varies by organizational size and complexity. Boost’s onboarding process begins with a workflow mapping exercise: the implementation team, which includes BCBAs, former clinic schedulers, and RCM specialists, diagrams the client’s current processes, identifies inefficiencies, and builds the platform to reflect the optimized version of those workflows. Rather than requiring the client to handle data migration and staff configuration, Boost absorbs much of that manual labor. Smaller single-site practices move faster; multi-site organizations with complex scheduling rules and larger data sets require more configuration time. The company’s position is that a thorough implementation is worth the upfront investment because it reduces the risk of billing errors and claim denials that commonly accompany poorly managed transitions.
What are the most common complaints about ABA practice management software?
Across user reviews and operator feedback, the most consistent complaints center on scheduling complexity, administrative overhead, cost escalation (particularly for add-on modules), customer support responsiveness, and the difficulty of managing multi-site operations across disconnected systems. A deeper structural complaint, and the one Boost’s product strategy targets most directly, is that most platforms have improved their interfaces over time without reducing the number of manual steps required to operate a clinic. The adoption challenges specific to AI tools in behavioral health add an additional layer: many providers have been burned by AI product claims that turned out to be basic automation with better marketing.
What is CASP 2026 and why does it matter for ABA technology vendors?
CASP, the Council of Autism Service Providers, holds its annual conference specifically for executives and operators of ABA and autism service organizations. The 2026 event runs April 26 through 28 at Mandalay Bay in Las Vegas. Unlike clinician-facing conferences, CASP draws the organizational leaders who make purchasing and operational decisions for ABA practices, which makes it the primary venue for technology vendors targeting mid-market and enterprise-level providers. The conference features approximately 100 breakout sessions along with significant exhibitor and sponsor activity.
