In this interview from Appian World 2026, Jamie Turner, founder and president of Acclaim Autism, joins Medhat Galal, senior vice president of engineering at Appian, to talk with theCUBE's Dave Vellante and co-host Alison Kosik about how AI-powered process orchestration is cutting autism services onboarding from six months to four days. Turner founded Acclaim Autism to address chronic wait lists for behavioral services, where families often waited months or years to access care. She explains that even with staff available, patient onboarding consumed six months — largely due to the complexity of validating unstructured clinical documents against insurance requirements that varied by geography and coverage. Galal details how Appian's platform eliminated the coordination tax of email handoffs and paper records by digitizing the entire intake workflow, while AI extracted and validated those clinical notes with an error rate of just 5%. The conversation also explores the personal stakes behind the technology. Galal shares that his own eldest child is on the spectrum and that his family's first intake took 14 months — making his collaboration with Acclaim Autism deeply personal. Turner notes that clinicians freed from administrative burden can redirect their time to the children they serve, and outlines the next frontier: AI-assisted scheduling that matches patients with staff across 40 to 50 clinical and logistical variables. Both guests are clear that treatment planning remains firmly in human hands, governed by HIPAA regulations and ethical guidelines from certification bodies. Galal walks through how Appian builds governance into the platform itself — process structure prevents AI from operating outside defined boundaries, while a data fabric with column-level security ensures AI sees only what it is permitted to see. A newly launched agentic reasoning capability, announced at the conference, is set to extend those guardrails to more complex multi-step planning tasks. From compressing multi-month intake ordeals to just days to expanding clinical capacity for more children, both guests make the case that the most powerful AI deployments start with high-value bottlenecks and build iteratively from there.