Does Kestral have an AI or decision-support roadmap?
Yes, and Kestral is deliberate about what that means. Rather than adopting AI for its own sake, Kestral is focused on applying it where it creates tangible, practical improvements for radiology and pathology practices. That means faster software delivery today, and a defined set of in-product capabilities on the near-term horizon.
How is Kestral using AI right now?
Kestral’s most immediate application of AI is in how it builds software. The team has integrated AI into its development lifecycle, accelerating the delivery of new features, integrations, and compliance-driven capabilities. Automated testing and AI-assisted build processes mean higher quality releases and shorter turnaround times on the improvements customers are asking for. The benefit to practices is straightforward: the things on the roadmap get delivered faster and with fewer defects.
What in-product AI capabilities is Kestral developing?
Kestral’s near-term product AI roadmap is focused on features that remove friction from real clinical and administrative workflows. The capabilities in development include:
OCR and automatic data population. Extracting information directly from request forms and populating patient and booking details automatically, reducing manual entry and the errors that come with it.
Billing accuracy. Applying intelligence to the billing process to improve accuracy, reduce rejections, and ensure practices are capturing the revenue they are entitled to.
Smart reporting worklists. Surfacing the right studies to the right radiologist at the right time, based on intelligent prioritisation rather than manual queue management.
These are not experimental features. They are targeted at the highest-friction points in a radiology practice’s daily operation.
What is Kestral’s philosophy on AI in diagnostics?
Kestral’s position is that AI should earn its place in clinical software by solving real problems, not by adding complexity or making systems harder to use. Every AI initiative at Kestral is evaluated against a simple question: does this make a meaningful difference for the clinician, the practice manager, or the patient? If the answer is not clearly yes, it does not make the roadmap.
How does Kestral’s cloud-native platform support future AI capabilities?
Kestral’s new cloud-native platform is being built with a structured, query-ready data architecture, the foundation that makes analytics, reporting intelligence, and deeper AI integration possible at scale. Practices that migrate to the cloud-native platform will be well-positioned to adopt new AI capabilities as they mature, without needing to rearchitect their systems later.
Kestral’s technology and AI strategy is led by Vishal Bhuimbar, Chief Technology Officer. Vishal oversees engineering delivery, cloud and integration platforms, and AI-driven development, with a consistent focus on secure, scalable systems that produce measurable outcomes for diagnostic practices across Australia and New Zealand.