Exclusive Interview: Rustom Lawyer, Co-Founder & CEO of Augnito, on AI-Powered Clinical Documentation and the Future of Healthcare

In a rapidly evolving healthcare landscape, artificial intelligence is redefining medical documentation, making it more efficient, accurate, and clinician-friendly. At the forefront of this transformation is Augnito, a global leader in AI-driven voice technology for healthcare.

In an exclusive conversation, Rustom Lawyer, Co-Founder and CEO of Augnito, discusses the company’s partnership with Almoosa Health, the integration of Omni AI Scribe, and how AI is shaping the future of medical documentation, clinician productivity, and patient care. He also sheds light on Saudi Arabia’s growing AI adoption in healthcare and what’s next for Augnito in revolutionizing digital health.

1. What were the key factors that led Almoosa Health to choose Augnito’s Omni AI Scribe for integration into its clinical workflows?

Almoosa Health’s decision to adopt Augnito’s Omni AI Scribe stemmed from three critical considerations: technological sophistication, cultural and linguistic alignment, and proven clinical efficacy.

First, Omni AI Scribe seamlessly integrates with Almoosa’s existing Electronic Medical Records (EMR) and Hospital Information System (HIS), eliminating the need for disruptive infrastructural overhauls. This interoperability ensures clinicians can adopt the tool without workflow interruptions, a priority for a 400-bed facility like Almoosa Specialist Hospital.

Second, the solution’s multilingual proficiency, including support for Arabic dialects, addresses Saudi Arabia’s linguistic diversity while maintaining medical terminology accuracy. This capability is pivotal in a region where clinicians and patients frequently communicate in colloquial Arabic, ensuring documentation precision across care settings.

Third, Augnito’s proven track record in enhancing clinician productivity—such as saving Apollo Hospitals’ doctors 44 hours monthly with Spectra—demonstrated tangible value. Almoosa sought a partner with domain expertise, and Augnito’s two decades of healthcare AI innovation, including deployments across 500+ global hospitals, provided confidence in scalability and impact.

2. How will the AI-driven Omni AI Scribe enhance the efficiency and accuracy of medical documentation for clinicians at Almoosa Specialist Hospital?

Omni AI Scribe elevates clinical documentation through ambient capture, context- aware AI, and real-time data structuring.

The tool operates unobtrusively in the background, using advanced speech recognition to transcribe clinician-patient interactions during consultations. By automating notetaking, it drastically reduces the amount of time physicians typically spend on administrative tasks, allowing them to refocus on patient care.

Accuracy is ensured through specialty-specific lexicons covering 50+ medical fields, which clinicians can personalize with preferred terminology as well. Additionally, the AI’s noise-suppression algorithms maintain clarity in busy hospital environments, while automatic data capture into EMRs minimizes manual errors. This combination of

efficiency and precision not only mitigates burnout but also enhances data reliability for downstream care processes.

3. Can you elaborate on the phased strategic rollout plan for this AI integration and how it will ensure operational continuity?

Like Augnito’s past integrations, this also broadly follows a three-phase rollout designed to maximize adoption without disrupting care delivery:

Phase 1: Pilot Testing

Initial deployment in select departments to gather clinician feedback and optimize system configurations. This stage prioritizes clinician adoption and addresses workflow nuances unique to Almoosa’s operations.

Phase 2: Departmental Expansion

Scaling to high-volume areas of the care continuum, where documentation burdens are acute. Augnito’s team will provide real-time support to troubleshoot integration challenges.

Phase 3: Hospital-Wide Deployment

Full integration across all units, coupled with analytics to measure time savings, error reduction, and patient outcomes. Continuous updates ensure the AI adapts to evolving clinical needs.

This phased approach balances innovation with operational stability, ensuring minimal downtime and sustained clinician buy-in.

4. What impact do you anticipate this collaboration will have on the broader healthcare landscape in Saudi Arabia, particularly in terms of AI adoption?

This partnership accelerates Saudi Arabia’s Vision 2030 goals for healthcare digitization and positions the Kingdom as a regional leader in AI adoption.

By demonstrating Omni AI Scribe’s success in a major hospital, Almoosa sets a precedent for other institutions to follow. The collaboration also aligns with national initiatives like the Saudi Authority for Data and Artificial Intelligence’s (SDAIA) mandate to integrate AI across public services.

Moreover, the project’s focus on Arabic-language AI addresses a critical gap in global healthcare technology, encouraging localized innovation. As more providers adopt similar tools, Saudi Arabia could emerge as a hub for AI-driven care models, attracting further investment and talent to the region.

5. Beyond documentation, how do you see AI evolving in healthcare, and what future innovations can we expect from Augnito in partnership with healthcare providers like Almoosa?

Beyond documentation, AI will drive predictive diagnostics, personalized treatment, and operational automation. I am a big believer in invisible, yet omnipresent technology and agentic ai workflows in the immediate future.

Collaborations like this one with Almoosa will enable real-world validation of these tools, ensuring clinical relevance.

Future innovations also ultimately aim to unify fragmented healthcare data into a centralized AI infrastructure, enabling cross-institutional insights and proactive public health interventions. For instance, somewhere down the road, perhaps integrating wearable health tech with Omni AI Scribe could provide continuous patient monitoring, alerting clinicians to anomalies in real time.