Rustom Lawyer is the Co-Founder and CEO of Augnito, an organization built on a long time of experience in clinical workflows and healthcare technology. With a deep understanding of worldwide healthcare systems and governance, he has been instrumental in developing revolutionary solutions that streamline clinical documentation and enhance operational efficiency. His expertise in healthcare integrations has shaped Augnito’s mission to remodel how clinicians interact with technology, improving accuracy and workflow automation.
Augnito is a number one provider of Voice AI solutions for Clinical Documentation and Ambient Clinical Intelligence, serving greater than 500 hospitals and 15,000 clinicians worldwide. Its SaaS solutions enhance workflow automation, ensure accuracy in administrative tasks, and equip clinicians with real-time, evidence-based recommendations and insights.
You began your first company on the age of 19. How did your experience in clinical transcription with the NHS shape your vision for Augnito?
My journey in healthcare technology began after I co-founded Scribetech within the UK at 19 years old. This early enterprise became a pioneer in clinical transcription services for the National Health Service (NHS), laying the critical foundation for what would eventually develop into Augnito.
Working with the NHS provided invaluable insights into healthcare documentation challenges on an enormous scale. We were chosen as a number one supplier on three consecutive national framework contracts, each lasting about five years, giving us the rare opportunity to work with the world’s largest single healthcare organization. Our longstanding relationships with prestigious institutions like Chelsea and Westminster Hospital, University Hospital Birmingham, and Kingston University Trust taught us the intricacies of clinical workflows across diverse specialties.
Those nearly twenty years of experience revealed a fundamental truth: documentation was consuming an unsustainable amount of clinicians’ time. We witnessed firsthand how this administrative burden impacted patient care quality and provider satisfaction. This realization ultimately shaped Augnito’s core mission—to create technology that liberates healthcare professionals from documentation burdens while maintaining the best standards of accuracy and compliance.
The NHS experience also instilled in us a deep appreciation for the importance of knowledge security, interoperability, and scalable solutions that would work across different healthcare environments. These principles remain central to Augnito’s development philosophy today.
Augnito was born out of a pivot from transcription services to AI-driven voice solutions. What were the important thing aspects that led to this strategic shift?
This strategic pivot emerged from several converging aspects. First, about nine years ago, we observed our BPO revenue growth flattening resulting from increasing automation demands across the healthcare industry. Somewhat than resist this inevitable transition, we decided to disrupt our own business model by investing profits into developing what would develop into Augnito.
A critical insight drove this decision: we discovered that doctors worldwide spend roughly 50% of their working hours on record-keeping, while nurses spend around 30% on similar tasks. This represented an infinite inefficiency in healthcare delivery—invaluable time that might be redirected toward patient care.
The technological landscape was also evolving rapidly. Cloud computing, advanced AI algorithms, and improved speech recognition capabilities created latest possibilities that weren’t available after we began Scribetech. We recognized a chance to leverage these technologies to deal with the acute pain point of inefficient clinical documentation and interoperability challenges.
What began as an efficiency tool for our transcription business evolved right into a comprehensive solution that would transform clinical workflows entirely. The shift from transcription services to AI-driven voice solutions represented not only a technological upgrade but a fundamental reimagining of how clinical documentation could work— emphasizing speed, accuracy, and seamless integration with existing healthcare systems.
What have been among the biggest challenges in scaling Augnito from an India-based startup to a globally recognized AI company?
Scaling Augnito globally presented several significant challenges. Firstly was ensuring data interoperability across vastly different healthcare systems. Healthcare infrastructure varies dramatically worldwide, with each country maintaining unique regulatory frameworks and documentation standards. Constructing technology that would integrate seamlessly with these diverse systems required extensive research and development.
One other major hurdle was gaining trust from healthcare professionals. Medicine is understandably conservative when adopting latest technologies, especially AI solutions that handle sensitive patient information. Overcoming this skepticism demanded not only technical excellence but additionally a commitment to constructing relationships and demonstrating consistent value.
Technical challenges were equally demanding. The range of speech patterns, accents, and medical terminologies across regions required sophisticated language models. In India alone, we faced the complexity of various regional accents and native languages that needed accurate interpretation in a medical context. This challenge was compounded by the high stakes of healthcare documentation, where even small errors can have serious consequences.
Moreover, helping clinicians transition from legacy systems to AI-powered solutions required careful change management. Many healthcare professionals were accustomed to traditional documentation methods, and facilitating this transition meant creating intuitive interfaces and providing comprehensive support systems.
Perhaps probably the most persistent challenge has been balancing innovation with practical implementation. While developing cutting-edge AI capabilities, we have had to make sure our solutions remain accessible, inexpensive, and immediately invaluable to healthcare providers across different economic contexts and resource settings.
How does Augnito tailor its AI solutions to different healthcare systems, given the varied regulatory and operational environments across countries?
Augnito approaches this challenge through flexibility in each design and deployment. We have created solutions that could be implemented as cloud-based SaaS or on-premises installations, depending on regulatory requirements and institutional preferences. This adaptability is crucial for navigating the varied landscape of healthcare systems globally.
For regulatory compliance, we maintain rigorous data localization capabilities and implement robust security measures including encryption and access controls. Our systems are designed to stick to regional standards like HIPAA, GDPR, ADHICS, and various other national healthcare data protection regulations, ensuring patient data stays secure no matter geography.
Linguistically, we have developed our technology to support over quite a few languages for conversation capture, making it truly inclusive across diverse populations. This multilingual capability is especially invaluable in regions with multiple official languages or dialectal variations.
Integration flexibility is one other key aspect of our approach. We provide APIs, HL7 interoperability, and SDKs with each low-code and no-code options, allowing seamless reference to existing healthcare IT infrastructure. This implies Augnito can integrate with any PACS/RIS/LIS/HIS/EMR system, including major platforms like Epic, Intersystems, Cloud Solutions, Cerner, and more, without disrupting established workflows.
Our clinical specialization further enhances adaptability. Augnito supports over 55 medical specialties, from General Medicine to Oncology and Radiology, each with its unique terminology and documentation requirements. This specialized approach ensures our solutions are clinically relevant across different practice settings and healthcare delivery models.
Finally, our human-centric design philosophy guides customization efforts, enabling us to offer personalized assistance that helps clinicians and enterprises adopt and integrate our technology without changing their existing workflows. This detailed attention to user experience has been critical to our successful adaptation to diverse healthcare environments worldwide.
Omni is positioned as a groundbreaking AI platform for clinical documentation. How does it differ from traditional speech-to-text solutions?
Omni represents a fundamental evolution beyond traditional speech-to-text technology. While conventional solutions simply convert spoken words to written text, Omni leverages Ambient Clinical Intelligence and Generative AI to create a comprehensive, context-aware system that serves as an intuitive clinical partner quite than a mere transcription tool.
The primary key difference is Omni’s ability to capture and transcribe natural clinical conversations in multiple languages in real-time. Unlike traditional solutions that require structured dictation, Omni can interpret natural dialogue between providers and patients, eliminating the necessity for clinicians to change their communication style or remember specific commands.
More importantly, Omni doesn’t merely record interactions—it contextualizes them. The system intelligently structures information into appropriate clinical categories, making it EMR-ready and even assigning clinical codes mechanically. This represents a shift from reactive to agentic AI—systems able to proactive, goal-oriented reasoning quite than simply responding to commands.
One other significant distinction is Omni’s sophisticated Clinical Documentation Integrity (CDI) capabilities and automatic code retrieval for ICD 10, SNOMED, or SBS codes. These features not only save time but additionally improve billing accuracy and reduce claim denials, directly impacting healthcare organizations’ financial performance.
The impact on clinical workflows is substantial, with doctors saving a median of two+ hours per day and experiencing a 60% reduction in documentation time. This efficiency gain addresses the burnout epidemic amongst healthcare professionals while concurrently improving documentation quality.
Perhaps most significantly, Omni embodies our philosophy that transformative technology should operate silently within the background, enhancing care without intrusion. The system adapts to individual clinician preferences, offering unmatched
customization while maintaining compliance with global health standards—making it truly omnipresent yet invisible within the clinical environment.
AI in healthcare is usually met with skepticism regarding accuracy and security. How does Augnito ensure high accuracy (99%) and compliance with global data privacy regulations?
Achieving and maintaining our 99% accuracy rate begins with our sophisticated Machine Learning algorithms and Natural Language Understanding capabilities that allow precise interpretation of medical terminology across over 50 specialties and sub specialties. This accuracy is obtainable immediately upon implementation—no voice training required, which is a big advantage over many competing solutions.
Our technology incorporates the complete language of medication, eliminating spelling errors while accurately deciphering various accents of spoken English. This is especially necessary in diverse healthcare environments where practitioners come from different linguistic backgrounds.
For data security and privacy compliance, we employ a multi-layered approach. We implement robust encryption techniques to guard patient data during each transmission and storage, ensuring the best level of security. Our systems implement stringent access controls that restrict patient data access to authorized personnel only.
We maintain comprehensive audit trails that record all activities related to patient medical record access and modification, creating accountability and transparency throughout the system. This detailed tracking capability is important for compliance with regulations like HIPAA, which might impose hefty fines for violations.
Our flexible deployment options further enhance security compliance. Whether clients prefer cloud-based SaaS or on-premises installation, we ensure industry-standard compliance and data localization in response to regional requirements. This adaptability is crucial for navigating the complex global landscape of healthcare data regulations.
The inspiration of our approach to each accuracy and security is our 20+ years of experience in healthcare documentation. This extensive background gives us a deep understanding of each clinical language nuances and the strict compliance requirements that govern protected health information—insights which were incorporated into every aspect of our technology.
Are you able to explain how Augnito’s AI improves clinical workflows while reducing physician burnout?
Augnito’s AI directly addresses the documentation burden that contributes significantly to physician burnout—a critical issue affecting 63% of clinicians globally. By automating and streamlining documentation processes, our solutions create multiple workflow improvements that collectively reduce stress and improve efficiency.
The immediate impact comes from time savings—our solutions can save clinicians up to a few hours per day on documentation tasks. In our case study with Apollo Hospitals, physicians saved a formidable 44 hours every month, representing time reclaimed for patient care or personal well-being. This translates to a 46% increase in overall productivity and a 60% reduction in documentation time. All in only 6 months.
Our Voice AI technology makes clinical documentation 4 times faster than traditional methods with 99% accuracy immediately upon implementation. This eliminates the frustration of correcting errors or repeating documentation tasks, common sources of workplace stress.
Augnito Spectra’s dynamic templates system and personalization features like custom vocabularies and macros further streamline workflows. Clinicians can upload predefined templates for various clinical note types and control every thing through intuitive voice commands, eliminating repetitive typing tasks.
Omni AI Scribe takes this further by allowing physicians to focus entirely on their patients during consultations while AI handles documentation mechanically. This permits doctors to keep up eye contact and have interaction more meaningfully with patients as a substitute of dividing attention between the patient and the pc screen.
Beyond time savings, our solutions improve documentation quality and reduce claim rejections. This eliminates the executive headaches related to resubmitting claims or correcting documentation errors—one other source of skilled frustration.
The ROI extends beyond clinical satisfaction. Organizations using our solutions have achieved a 21-fold return on investment inside just six months, demonstrating that addressing burnout through AI-powered documentation also makes financial sense for healthcare institutions.
What role does Augnito’s AI play in enhancing doctor-patient interactions quite than replacing human decision-making?
I actually have all the time maintained that Augnito’s solutions are designed to enhance and empower clinicians, not replace their expertise by any means. Our technology operates on the principle that transformative healthcare technology should function silently in the background, enhancing care without intrusion.
Probably the most immediate impact on doctor-patient interactions comes from liberating clinicians from documentation burdens during consultations. With Omni AI Scribe, doctors can maintain eye contact and have interaction more meaningfully with patients as a substitute of typing notes throughout the encounter. This restores the sanctity of patient-provider interactions—a nurse can concurrently monitor a critical case and verbally update records hands-free, exemplifying technology that serves quite than disrupts.
We recognize that while AI excels at processing vast amounts of knowledge and identifying patterns, the human elements of healthcare—empathy, intuitive understanding, and sophisticated decision-making—remain irreplaceable. Our AI functions as a classy tool in a physician’s arsenal, very similar to how the stethoscope revolutionized medicine in its time.
The long run we envision is considered one of seamless collaboration between AI and healthcare professionals. While our AI can transcribe and structure patient conversations, analyze patterns, and suggest potential diagnoses, it is the physician who contextualizes this information, makes final decisions, and provides the human connection that patients need.
By handling routine administrative tasks, our technology allows clinicians to give attention to their core competencies—diagnosing conditions, developing treatment plans, and constructing therapeutic relationships with patients. In actual fact, physicians using our solutions potentially have time to see additional patients or spend more quality time with each patient.
Ultimately, our goal is to create technology that makes healthcare more efficient, accurate, and human-centered—enhancing quite than replacing the human intelligence and compassion at the center of medication.
How does Augnito integrate with existing healthcare infrastructure like EMRs, and what are the most important interoperability challenges you’ve faced?
Augnito has designed its integration approach with flexibility and ease of implementation as core principles. As mentioned previously, our solutions integrate seamlessly with any PACS/RIS/LIS/HIS/EMR system, including major platforms like
Epic, Intersystems, Cloud Solutions, Cerner, and more. This versatility is critical in healthcare environments where multiple legacy systems often coexist.
We have made integration technically straightforward through our APIs and SDKs, offering each low-code and no-code options. This approach minimizes disruption to existing workflows and reduces implementation timelines. Healthcare organizations can choose from cloud-based SaaS or on-premises installation models based on their infrastructure requirements and security policies.
Despite these capabilities, interoperability stays considered one of healthcare’s most persistent challenges. Probably the most significant hurdle we have encountered is data exchange between different Hospital Information or Medical Record systems. The fragmentation of healthcare data across disparate systems often prevents the creation of comprehensive patient histories.
One other interoperability challenge involves standardization—or lack thereof—across healthcare systems. Different organizations often use various terminology, data structures, and documentation formats, complicating seamless information exchange. Our systems should be adaptable enough to accommodate these variations while maintaining consistent accuracy and performance.
To handle these challenges, we have developed a human-centric approach to implementation and integration. We offer personalized assistance to assist clinicians and enterprises adopt and integrate our technology without changing their existing workflows. This detail-oriented customer success approach has been instrumental in overcoming interoperability obstacles and facilitating successful deployments.
With increasing competition in AI-powered medical documentation, how does Augnito differentiate itself from other AI-driven healthcare solutions?
Augnito stands apart through several key differentiators, a few of which I’ve already touched on, that collectively create unique value for healthcare organizations. First, our proprietary high-quality clinical speech recognition and natural language understanding technology achieves 99% accuracy out-of-box, without requiring voice training. This immediate accuracy eliminates the frustrating “training period” common with many competing solutions.
Our deep healthcare expertise sets us apart—with over twenty years of experience in clinical documentation and shut partnerships with the NHS and other global healthcare leaders. This domain knowledge is embedded in our solutions, which support over 55 clinical specialties from General Medicine to Oncology and Radiology.
Our technology is specifically designed to grasp diverse accents and language patterns. We have developed systems that may accurately decipher any accent of spoken English and capture clinical conversations in several languages. This linguistic flexibility is especially invaluable in diverse healthcare environments.
We also differentiate through our human-centric design philosophy, which permeates every thing from product development to customer support. Our systems are co-designed with physicians to make them extremely intuitive to make use of. We offer personalized assistance to assist clinicians and enterprises adopt our technology without disrupting existing workflows.
The measurable impact of our solutions provides compelling differentiation. Organizations using Augnito have achieved a 21-fold return on investment inside six months. In our case study with Apollo Hospitals, we documented a 46% increase in overall productivity and physicians saving 44 hours monthly.
Perhaps most distinctively, our vision extends beyond mere documentation to creating truly agentic AI—systems able to proactive, goal-oriented reasoning. Unlike conventional tools that simply reply to commands, our technology contextualizes data, identifies critical insights, and anticipates clinician needs, functioning as an intuitive partner quite than a passive tool.
Finally, we maintain a commitment to continuous innovation, with ongoing R&D investments always improving user experience. This forward-looking approach ensures our solutions evolve alongside healthcare needs and technological capabilities.
There’s growing debate concerning the role of AI in medicine. How do you see AI evolving in healthcare over the subsequent 5-10 years?
I imagine we’re at the brink of a profound transformation in healthcare, with AI evolving from isolated applications to comprehensive ecosystems that impact every aspect of medication. The worldwide healthcare AI market is projected to succeed in $188 billion by 2030, reflecting this extraordinary growth trajectory.
Within the near term, we’ll see AI revolutionizing diagnostic capabilities, with systems becoming increasingly sophisticated in analyzing medical images and detecting conditions earlier. By 2025, Gartner predicts that 30% of latest drugs shall be discovered using generative AI, slashing the normal 10–15-year drug development timeline. The global GenAI healthcare market specifically is projected to grow from $1.96 billion in 2024 to $39.68 billion by 2034—a remarkable 35.1% CAGR.
I anticipate a fundamental shift in how AI is perceived inside healthcare organizations. Somewhat than viewing AI solutions as software products, institutions will increasingly see them as “AI staff” essential team members that handle specific functions alongside human professionals. This attitude shift is important since it means AI will disrupt not only the enterprise software market (valued in tens of billions) however the services market (valued in trillions).
The following evolution shall be toward agentic AI—systems able to proactive, goal-oriented reasoning with contextual continuity, predictive agency, and appropriate ethical boundaries. In chronic care management, for instance, agentic AI integrated with wearable devices could provide personalized voice check-ins analyzing glucose trends, dietary patterns, and exercise motivation levels.
Healthcare organizations are already prioritizing AI implementation, with 45% of healthcare operations leaders considering it a top priority for reinforcing efficiency. This momentum will speed up as AI demonstrates tangible advantages like 30% shorter hospital stays, 60% higher patient satisfaction, and billions in cost savings.
The last word evolution, nonetheless, won’t be measured in market size but in transformed human connections: clinicians freed to heal, patients empowered to thrive, and technology that silently elevates each. Probably the most successful AI implementations will balance efficiency with empathy, creating healthcare systems that are usually not just technologically advanced but fundamentally more humane.
