Regard vs Avoma
Detailed side-by-side comparison to help you choose the right tool
Regard
🟢No CodeDocument Management
AI clinical insights platform that reviews 100% of patient chart data to recommend diagnoses, generate draft documentation, and surface missed conditions at the point of care.
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PaidAvoma
Document Management
AI platform for meeting note-taking, scheduling, conversation intelligence, and sales coaching to enhance productivity and revenue operations across the full meeting lifecycle.
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CustomFeature Comparison
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Regard - Pros & Cons
Pros
- ✓Reviews 100% of patient chart data — catches conditions that clinicians miss when manually reviewing the 3% they have time for
- ✓Generates draft clinical documentation before the physician encounter, saving 10+ minutes per note
- ✓Proven revenue impact: Sentara Health saw 17% increase in CC/MCC capture with 4x ROI per user
- ✓Integrates directly into Epic and Cerner workflows — no context-switching to a separate application
- ✓Reduces CDI query burden by proactively documenting diagnoses, saving CDI teams ~60 minutes per avoided query
- ✓Combines ambient conversation data with chart data for more complete clinical picture
- ✓HIPAA-compliant with enterprise-grade security appropriate for hospital environments
Cons
- ✗Enterprise-only pricing with no self-service tier — requires a sales process and implementation timeline
- ✗Currently focused on hospital medicine (hospitalists/internists) — limited applicability for outpatient or specialty practices
- ✗Implementation requires EHR integration work that can take weeks to months depending on the health system's IT infrastructure
- ✗Physician adoption depends on trust in AI-generated suggestions — some clinicians may resist AI-recommended diagnoses
Avoma - Pros & Cons
Pros
- ✓Covers the full meeting lifecycle — scheduling, transcription, notes, CRM sync, and coaching — in a single platform, eliminating the need to stitch together three or four separate tools and reducing overall software spend.
- ✓At $19–$39/month per user, Avoma is priced well below enterprise conversation intelligence platforms like Gong ($100+/user/month), making advanced analytics accessible to mid-market teams with tighter budgets.
- ✓AI-generated topic-based summaries are more actionable than raw chronological transcripts, automatically organizing conversations by discussion themes and extracting action items that sync directly to CRMs.
- ✓30+ native integrations across conferencing (Zoom, Meet, Teams, Webex), CRM (Salesforce, HubSpot, Pipedrive), dialers, and collaboration tools allow Avoma to fit into most existing sales tech stacks without major workflow changes.
- ✓Coaching scorecards support popular sales methodologies (MEDDIC, BANT, SPICED) with quantitative benchmarks derived from actual call data, giving managers data-driven coaching rather than subjective call reviews.
- ✓Available on web, Mac, Windows, iOS, and Android with SOC 2 Type II certification and configurable data retention policies, making it suitable for distributed teams and organizations with compliance requirements.
Cons
- ✗The free AI Note Taker tier is limited in meeting volume and feature access, so meaningful use beyond initial evaluation requires upgrading to a paid plan, starting at $19/user/month.
- ✗Conversation intelligence and coaching features require the $29/month Plus plan, which means teams on the $19 Starter plan miss out on the analytics that differentiate Avoma from simpler transcription tools.
- ✗AI transcription accuracy can degrade with heavy accents, poor audio quality, or highly technical jargon, requiring manual review in scenarios like multinational calls or specialized engineering discussions.
- ✗The platform is most valuable for sales and revenue teams — non-sales use cases (engineering standups, product meetings, HR interviews) benefit from transcription but get limited value from the coaching and revenue intelligence features.
- ✗While 30+ native integrations cover major platforms, the ecosystem is smaller than more established competitors like Gong or Salesforce-native tools, so teams using niche CRMs or dialers may need workarounds via Zapier or API.
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