Sully.ai vs Abridge: Which Is The Better AI Medical Scribe?
Nov 12, 2025

Sully.ai vs Abridge: Which Is The Better AI Medical Scribe?
Choosing the right AI medical scribe platform depends on your practice’s priorities, whether you value deep enterprise integration or flexible automation. Sully.ai, goes beyond documentation. With its multi-agent automation, real-time clinical decision support, and customizable workflows, it’s designed for practices seeking to streamline not just note-taking, but the entire patient encounter, from pre-visit screening to post-visit coding and follow-up tasks.
On the other hand, Abridge offers powerful clinical documentation tools with transcription and EHR integrations, making it a strong fit for large healthcare systems focused primarily on accurate, compliant note generation.
Sully.ai, goes beyond documentation. With its multi-agent automation, real-time clinical decision support, and customizable workflows, it’s designed for practices seeking to streamline not just note-taking, but the entire patient encounter, from pre-visit screening to post-visit coding and follow-up tasks.
Here's what you'll learn:
In-depth comparison of Sully.ai vs Abridge across features, pricing, and use cases
Detailed breakdown of each platform's strengths and limitations
How multi-agent workflow automation differs from single-purpose transcription
Which medical scribe solution fits your practice size and specialty needs
Why healthcare organizations are shifting from documentation-only tools to comprehensive AI platforms
Let's start with a quick side-by-side comparison.
Sully.ai vs Abridge: Quick Comparison
Understanding how Sully.ai and Abridge compare requires examining their core focus, automation capabilities, and deployment models.
Here's a side-by-side comparison:
Feature | Sully.ai | Abridge |
Primary Focus | Multi-agent workflow automation across entire patient journey | Clinical documentation and transcription |
EHR Integration | Epic, Athenahealth, Cerner, and 20 other systems | Deep Epic integration, expanding to others |
AI Capabilities | Proprietary Doctor-LM with multi-agent orchestration | Purpose-built LLMs for medical conversations |
Workflow Coverage | Pre-visit, during-visit, post-visit automation | Primarily during-visit and post-visit documentation |
Now, let's examine each platform individually, starting with Sully.ai.
Sully.ai
Sully.ai is an AI automation platform designed to create "superhuman doctors" by automating administrative tasks across the entire patient encounter workflow. The platform offers multi-agent capabilities that extend far beyond simple transcription.
Features
Sully.ai operates as a modular AI team rather than a single-purpose tool, providing automation throughout the patient journey with its proprietary Doctor-LM model trained on thousands of real physician encounters.
The AI Scribe works through a five-step process:
It captures conversations in-room or via telehealth with secure real-time recording and transcription.
It maps dialogue into structured medical templates aligned to SOAP, H&P, or specialty-specific workflows.
It drafts complete clinical notes with suggestions for problems, medications, and orders.
Clinicians edit and approve the final documentation while maintaining full control.
Approved notes are written directly into the EHR with complete version history tracking.
The platform's pre-visit capabilities include automated patient symptom screening that collects information before appointments arrive. During consultations, Sully.ai provides real-time suggestions and clinical considerations while simultaneously converting conversations into structured medical notes using advanced voice-to-action technology that responds to natural speech commands.
Key scribe features include 98%+ accuracy with full compliance safeguards, ambient capture that handles natural conversations without interrupting workflow, automatic after-visit summaries for patient follow-up, plain-language patient summaries for easy understanding, and documentation time tracking that highlights efficiency gains. The system also suggests problems, medications, and orders for clinician review while maintaining version control for complete transparency.
What distinguishes Sully.ai is its multi-agent architecture that allows different AI agents to work together, reusing context across the visit lifecycle. This means demographic data captured during intake automatically flows to the scribe agent, which then informs the coding agent, creating compounding value without requiring multiple vendor integrations.
The platform supports 20+ languages and offers extensive customization through voice commands, allowing physicians to personalize their entire environment without technical expertise. Notably, the AI Medical Scribe agent works offline with local capture capability, securely syncing back to the EHR once connectivity is restored, a critical feature for clinics with unreliable internet connections.
Ideal Use Cases for Sully.ai
Sully.ai works exceptionally well for:
Healthcare organizations with more than 500 employees, wanting to reduce administrative burden
Medical groups across diverse specialties requiring customizable AI agents
Practices prioritizing quick deployment without lengthy implementation timelines
Healthcare providers seeking automation beyond just documentation
If you're looking for an AI platform that addresses multiple workflow challenges simultaneously while maintaining clinical accuracy above 98%, Sully.ai delivers that foundation.
Abridge
Abridge is an AI platform purpose-built for clinical conversations and documentation. Founded by cardiologist Dr. Shiv Rao in 2018, the platform has established itself as a solid solution for organizations seeking reliable ambient documentation solutions.
Features
Abridge transforms patient-clinician conversations into structured clinical notes through its proprietary AI models that understand medical terminology across 28+ languages and 50+ specialties. The platform records conversations during appointments, transcribes them in real-time, and generates draft notes aligned with the SOAP format.
A standout feature is Linked Evidence, which maps every AI-generated sentence to the specific transcript excerpt supporting it. This unique capability makes it significantly easier for clinicians to verify accuracy and identify potential errors, building trust in the AI output.
The platform's Contextual Reasoning Engine represents Abridge's latest innovation, integrating data from previous patient encounters, health system-specific revenue cycle guidelines, and individual clinician preferences to create more comprehensive and billable notes at the point of care. This addresses the critical challenge of incomplete clinical notes that delay billing processes.
Abridge emphasizes deep EHR integration, particularly with Epic systems, allowing notes to flow directly into appropriate fields within patient charts. The platform also unveiled specialized workflows for emergency medicine and nursing documentation, expanding beyond traditional physician use cases.
For enterprise deployments, Abridge provides comprehensive management tools including user access controls, compliance customization, and usage monitoring across entire health systems; all within a HIPAA-compliant framework with 256-bit encryption and secure U.S.-based data centers.
Ideal Use Cases for Abridge
Abridge is a strong fit for:
Large academic medical centers requiring enterprise-grade compliance
Organizations already using Epic EHR wanting deep integration
Practices with budget flexibility for premium enterprise solutions
Health systems prioritizing vendor stability and institutional backing
Now, let's examine how to choose between these platforms based on your specific needs.
Which AI Medical Scribe Should You Choose?
The optimal medical scribe platform depends on your organization size, budget, workflow complexity, and implementation timeline. Here's guidance for making the right decision:
Go with Sully.ai if:
You need comprehensive automation beyond just clinical documentation
You're seeking multi-agent workflows that automate intake, scribing, coding, and follow-up
Your organization values customization through voice commands and natural language
You want clinical decision support integrated during patient encounters
Sully.ai excels when practices need versatile AI agents that work across the entire patient journey, delivering time savings through workflow orchestration rather than single-task automation.
Choose Abridge if:
You specifically need clinical documentation without additional workflow features
You can accommodate longer implementation timelines
Consider both if:
You're a large health system exploring department-specific solutions
Different specialties have distinct automation needs
You want to compare enterprise implementations through pilot programs
Your organization is evaluating multiple vendors before commitment
Many healthcare organizations conduct structured evaluations comparing accuracy, clinician satisfaction, and workflow impact before making final decisions.
Key Differences That Matter
Beyond basic feature comparisons, several fundamental differences impact real-world usage:
Deployment Model
Sully.ai emphasizes rapid deployment, enabling medical organizations to start using the platform within days. This approach reduces IT burden and accelerates time-to-value.
Abridge follows an enterprise implementation model involving sales cycles, contract negotiations, and coordinated rollouts across departments. While this ensures standardization for large organizations, it extends implementation timelines from weeks to months.
Workflow Scope
The platforms differ significantly in how much of the clinical workflow they address. Sully.ai's multi-agent architecture automates tasks before, during, and after patient visits, including intake screening, real-time clinical suggestions, documentation, coding assistance, and custom post-visit workflows.
Abridge concentrates specifically on clinical conversation documentation, excelling at converting encounters into accurate notes but leaving other workflow elements to separate tools or manual processes. For practices seeking comprehensive automation, this distinction proves meaningful.
AI Architecture
Sully.ai developed Doctor-LM, a proprietary language model trained specifically on physician encounters and workflows. This specialized training enables the system to understand medical context deeply and coordinate multiple AI agents working together across different tasks.
Abridge built its platform around generative AI models optimized for medical conversations, with particular emphasis on speech recognition accuracy and structured note generation. The Linked Evidence feature demonstrates sophisticated mapping between generated content and source material.
Implementation Considerations
Successful medical scribe adoption depends on factors beyond features and architecture:
Integration Requirements
Both platforms integrate with major EHR systems, but implementation depth varies. Sully.ai provides connectors for Epic, Athenahealth, Cerner, and 20+ other systems with setup typically completed within days for standard configurations.
Abridge's deep Epic integration represents years of development partnership, offering sophisticated workflows within Epic's interface including the Haiku mobile app and ASAP emergency medicine module. Organizations heavily invested in Epic ecosystems may find this integration particularly valuable.
Training and Support
Sully.ai's intuitive voice-command interface and natural language customization reduce training requirements. Most physicians become proficient within their first few patient encounters, with support available through standard channels.
Abridge includes comprehensive implementation support, with dedicated teams assisting with training, workflow design, and adoption tracking. This high-touch approach suits large organizations managing change across numerous departments.
Accuracy and Quality
Clinical accuracy remains paramount for medical scribe tools. Sully.ai achieves 98%+ accuracy rates in medical terminology capture and note generation, validated through internal testing across diverse specialties.
Abridge emphasizes quality through its Linked Evidence feature, which increases clinician confidence by connecting every generated statement to source transcript segments. The platform's performance across 50+ specialties demonstrates consistent quality, though specific accuracy metrics vary by specialty and use case.
Real-World Impact of Medical Scribe Solutions
Healthcare organizations evaluate medical scribe solutions based on measurable outcomes:
Time Savings
Sully.ai delivers measurable impact with users reporting 80% cost savings per visit, over 2 hours saved per clinician daily, and 20% more patient capacity. The platform's multi-agent approach compounds time savings across the entire workflow, with physicians completing visits without after-hours charting. Healthcare organizations consistently report that clinicians finish documentation before leaving the exam room thanks to ambient capture mapped directly to their templates.
Abridge claims clinicians save 2-3 hours per day on documentation specifically, with notes generated during or immediately after visits reducing the documentation backlog that contributes to burnout.
Clinical Quality
Both platforms aim to improve patient care quality by allowing physicians to focus on patients rather than computers. Sully.ai's real-time clinical suggestions provide evidence-based guidance during encounters, improving diagnostic accuracy and treatment planning.
Abridge emphasizes documentation completeness and billing optimization through its Contextual Reasoning Engine, helping health systems capture appropriate reimbursement while maintaining clinical accuracy.
Clinician Satisfaction
User testimonials highlight different benefits. Sully.ai customers frequently mention regaining joy in practice through reduced administrative burden and the ability to provide more attentive patient care. The platform's customization capabilities receive particular praise.
Abridge users at major health systems emphasize reliability, consistency, and the confidence that comes from Linked Evidence verification. Institutional users value the platform's stability and enterprise support structure.
Making Your Decision Between Sully.ai and Abridge
Selecting between Sully.ai and Abridge requires evaluating several factors:
Start With Your Requirements
List must-have capabilities versus nice-to-have features. If comprehensive workflow automation from intake through coding is essential, Sully.ai's multi-agent architecture provides clear advantages. Moreover, if your primary need focuses specifically on clinical documentation quality at enterprise scale, Sully's team of AI agents will match your requirements perfectly.
Consider Your Timeline
Organizations needing immediate implementation benefit from Sully.ai's quick-start approach, available within days. Health systems planning strategic initiatives with 6-12 month timelines can accommodate Abridge's enterprise implementation process.
Assess Integration Needs
Review your current technology stack, particularly your EHR system and other tools requiring integration. Both platforms support major systems, but integration depth and effort vary. Organizations heavily invested in Epic might prioritize Abridge's specialized Epic workflows.
Plan a Pilot Program
Many healthcare organizations conduct pilot programs testing platforms with small physician groups before system-wide rollouts. This approach provides real-world data on accuracy, clinician satisfaction, and workflow impact, reducing decision risk.
Why Healthcare Teams Choose Sully.ai
For practices seeking comprehensive automation that extends beyond documentation, Sully.ai delivers an intuitive platform that transforms entire workflows, not just note-taking.
Here's why Sully.ai stands out:
Multi-Agent Workflow Automation: Unlike single-purpose transcription tools, Sully.ai provides specialized AI agents for intake, scribing, clinical guidance, coding, and custom post-visit workflows. These agents work together, sharing context across the patient journey for compounding value.
Proven Time and Cost Savings: Achieve 80% cost savings per visit while saving over 2 hours per clinician daily. Healthcare organizations also report 20% more patient capacity thanks to streamlined workflows and elimination of after-hours charting.
Real-Time Clinical Support: Beyond documentation, Sully.ai provides evidence-based suggestions and clinical considerations during patient encounters, suggesting problems, medications, and orders for clinician review; potentially improving diagnostic accuracy and treatment planning quality.
Extensive Customization: Train Sully.ai using voice commands and natural language to match your specific workflow preferences, documentation style, and specialty requirements. The platform adapts to you rather than forcing you to change existing patterns.
Proprietary Doctor-LM Model: Trained on thousands of real physician encounters, Sully.ai's specialized language model understands medical context deeply, delivering 98%+ accuracy across diverse specialties and clinical scenarios with full compliance safeguards.
Works Anywhere, Even Offline: Unlike cloud-dependent solutions, Sully.ai captures visits locally and syncs securely when connectivity is restored, perfect for rural clinics or facilities with unreliable internet access.
Frequently Asked Questions
How do Sully.ai and Abridge compare on accuracy?
Both platforms deliver high accuracy in medical terminology capture and note generation. Sully.ai reports 98%+ accuracy across specialties with continuous improvement through its Doctor-LM model. Abridge emphasizes verification through its Linked Evidence feature that maps generated content to source transcripts, allowing clinicians to quickly validate accuracy. Actual accuracy varies by specialty, audio quality, and specific use case.
Does Sully.ai work with Epic EHR?
Yes, Sully.ai integrates with Epic along with other major EHR systems including Athenahealth and Cerner. While Abridge has developed particularly deep Epic integration through years of partnership, Sully.ai provides functional Epic connectivity for most common workflows. Integration depth varies based on specific Epic modules and organizational configurations.
Which platform implements faster?
Sully.ai typically implements much faster due to its browser extension and mobile app deployment model. Individual physicians can start using the platform within minutes after downloading the extension. Abridge's enterprise implementation requires coordinated rollouts involving IT teams, often taking weeks to months depending on organization size and customization needs.
Do both platforms support multiple specialties?
Yes, both platforms support diverse medical specialties, though coverage differs. Sully.ai provides support for 200+ specialties with customizable workflows, while Abridge supports 50+ specialties with purpose-built templates. Both platforms continue expanding specialty coverage based on customer needs and market demand.
Can I use Sully.ai for telemedicine?
Yes, Sully.ai works with both in-person and telemedicine encounters, capturing conversations and generating notes regardless of visit type. The platform's flexibility supports various consultation formats including phone, video, and hybrid appointments. Additionally, Sully.ai’s Medical Scribe can work offline with local capture capability, securely syncing back to the EHR once connectivity is restored; ideal for clinics with unreliable internet connections.
Which platform is better for pediatrics?
Both platforms support pediatric specialties, though optimal choice depends on specific needs. Sully.ai's customizable multi-agent workflows can be tailored for pediatric intake, developmental screenings, and family communication patterns. Abridge's structured note generation works well for pediatric documentation standards. Consider conducting specialty-specific evaluations during pilot programs.
How does Sully.ai and Abridge handle compliance?
Both Sully.ai and Abridge maintain HIPAA compliance with end-to-end encryption, secure data centers, and comprehensive security controls. Abridge additionally holds SOC 2 Type II certification and ISO 27001 certification. Sully.ai implements ISO 27001 controls and various international compliance standards including GDPR and PIPEDA.
Sources
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Sully AI. (2025). "AI Medical Scribe | AI Scribe - Sully." Retrieved from https://www.sully.ai/scribe
Sully AI. (2025). "Best AI Medical Scribes 2025 | Accuracy, Speed & Integration." Retrieved from https://www.sully.ai/blog/best-10-ai-medical-scribes-in-2025
HIT Consultant. (2025). "Abridge Raises $250M to Advance AI-Powered Clinical Documentation." Retrieved from https://hitconsultant.net/2025/02/17/abridge-raises-250m-to-advance-ai-powered-clinical-documentation/
TechCrunch. (2025). "In just 4 months, AI medical scribe Abridge doubles valuation to $5.3B." Retrieved from https://techcrunch.com/2025/06/24/in-just-4-months-ai-medical-scribe-abridge-doubles-valuation-to-5-3b/
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