Executive summary
Suki for partners · Enterprise integration
Bring clinical AI into your healthcare product with SDKs and APIs built for enterprise integration, product flexibility, and clinical scale.
This guide is written for executive, product, and engineering leaders who are deciding whether Suki should become part of their platform strategy. It explains the business problem, the product opportunity, the integration choices, and the operating model behind a Suki partnership. Use it to align leadership teams on customer value, technical feasibility, rollout approach, and the next decisions required to move forward.
Detailed implementation planning, including architecture, team responsibilities, technical requirements, and a sample timeline, is covered on the{' '} Technical execution {' '} page for engineering leaders, solution architects, and delivery teams.
For clinicians and care teams: Clinical documentation can take 5-6 hours every day, creating work that follows clinicians beyond the visit. The impact reaches far beyond note-taking: less time with patients, higher burnout risk, slower billing, and weaker retention. For healthcare platforms, documentation is now a strategic workflow that directly affects adoption, satisfaction, and operational performance.
For our partners: Building clinical AI in house requires sustained investment in model performance, clinical quality, security, compliance, infrastructure, and support. Suki gives partner teams a faster path to market while preserving focus for the product, engineering, and customer commitments that differentiate their own platform.
Partner examples that show Suki moving from integration decision to deployed clinical capability.
Zoom recognized that virtual care needs more than a reliable video connection. By integrating Suki's AI engine, Zoom can connect telehealth visits with clinical documentation that supports user experience and patient outcomes. For leaders, the partnership shows how clinical AI can expand platform value without forcing clinicians into a separate workflow.
WellSky's Ambient Listening solution brings AI-assisted documentation into behavioral health, long-term acute care, and rehabilitation settings. The integration helps reduce documentation load, supports specialty workflows, and gives WellSky a stronger clinician experience story across care settings where documentation complexity can slow adoption.
Over 60,000 clinical encounters completed in 3 months, and counting. athenahealth integrated Suki's ambient technology into its clinical platform, giving clinicians a documentation workflow inside the tools they already use. The deployment demonstrates how ambient documentation can move from early adoption to a scaled platform capability.
Suki SDKs and platform APIs give partners an enterprise integration layer for clinical AI inside their own products.
Suki is one platform for Ambient capture and structured{' '} Clinical notes {'. '} Partners choose the integration model that matches their product strategy, user experience, and architecture: pre-built browser UI with the Web SDK, custom React with the Headless Web SDK, native iOS with the Mobile SDK, or Suki REST APIs when your backend or custom client should own orchestration, sessions, and content without Suki's pre-built UI. For clinical dictation in the browser, the Dictation SDK provides a hosted experience with clear auth and lifecycle hooks. For structured medical forms, Form Filling APIs provide OAuth-secured REST, streaming visit audio, and structured output aligned to Suki templates. Technical details for each path live in the respective SDK and{' '} API documentation {'.'}
Clinicians can complete an encounter and leave with a draft note or structured form output that fits the partner workflow, often without manual typing. Product and engineering teams can deliver that outcome through web apps, native iOS apps, dictation embeds, Form filling sessions, or backend systems connected over HTTPS.
What this means for partners
@suki-sdk/react or @suki-sdk/js, or own the product surface with the Headless Web SDK (@suki-sdk/platform-react) while Suki provides the ambient and auth patterns for React.
Partners can adopt one or more integration surfaces based on product ownership, desired user experience, and backend architecture. Each surface has dedicated documentation. Ambient and platform API contracts are in the{' '} API reference {', while Form filling contracts are in the '} Form Filling API reference {'.'}
Pre-built browser UI through @suki-sdk/react and @suki-sdk/js. Use it when your team wants to add ambient capture and note review quickly without owning the full clinical documentation interface.
Custom React with platform hooks (@suki-sdk/platform-react) for teams that want to own the interface while using Suki for browser-based ambient workflows.
Native iOS support for partners bringing ambient documentation into mobile clinical workflows.
OAuth-secured HTTPS APIs for sessions, notes, ambient content, and related operations when your backend or custom client should own orchestration.
Browser dictation with a hosted experience, auth, and callbacks. Use @suki-sdk/core and @suki-sdk/dictation (or React wrappers) when clinicians need dictation inside your application and your team should not build the speech UI from scratch.
OAuth-secured REST, WebSocket visit audio, webhooks, and structured medical-form output for products that need AI-assisted forms and templates in addition to ambient notes.
Embed ambient documentation directly into your product so users can stay in one workflow. Notes can move into the encounter, chart, or handoff path in a format aligned to your data model.
Extend virtual care beyond the video visit by pairing the encounter with documentation capture and draft note generation. Clinicians can close visits with less after-call documentation, and product teams can strengthen the telehealth experience.
Support specialty-specific workflows where documentation requirements vary by care setting. Suki helps generate notes that reflect clinical context, so specialty products do not have to rely on generic documentation patterns.
Help care coordinators focus on outreach, follow-up, and patient support instead of manual documentation. Captured interactions can become structured records that keep programs, teams, and handoffs aligned.
Weeks, not months. Partner teams can integrate production-ready components in 2-4 weeks instead of spending 6-12 months building AI infrastructure, clinical workflows, and operational support in house. That accelerates market entry while keeping engineering capacity focused on the product areas only your team can build.
When clinicians reclaim 2-3 hours per day from documentation, organizations can improve capacity, reduce after-hours work, and support retention. Timely note completion can also shorten billing cycles and reduce administrative friction across downstream teams.
AI-powered documentation can become a visible product differentiator in a crowded healthcare technology market. It gives product and commercial teams a high-value workflow to package, sell, and expand while helping the platform meet rising clinician expectations for intelligent automation.
When clinicians spend less time documenting and more time with patients, visits can become more focused and complete. Timely notes support care continuity, reduce information gaps, and help care teams make decisions with better clinical context.
Suki supports enterprise healthcare requirements, including HIPAA compliance, SOC 2 Type II certification, and encryption. Partners can integrate clinical AI into their product experience while relying on Suki's established security and compliance posture.
Partners get one clinical documentation platform with several ways to integrate. Whether your roadmap calls for pre-built browser UI, custom React, native iOS, dictation embeds, Form Filling APIs, or server-side ambient API flows, Suki provides production-ready surfaces, shared clinical depth, and documentation matched to the path you choose.
Use the Web SDK (@suki-sdk/react, @suki-sdk/js) for ready-made UI, the Headless Web SDK (@suki-sdk/platform-react) when you own the browser experience, the Mobile SDK for native iOS, the Dictation SDK for hosted browser dictation, Form Filling APIs for structured form sessions, or Suki REST APIs when orchestration, sessions, and content should live in your backend or custom client.
Packages and HTTPS APIs built for clinical workloads, enterprise expectations, and partner deployments. The operating model stays consistent whether you embed UI, use platform hooks, or integrate over OAuth-secured APIs.
Each integration path has its own guides and reference material. Ambient platform API contracts, endpoints, and auth patterns live in the{' '} API reference {', while Form filling contracts live in the '} Form Filling API reference {'. '} SDK behavior and samples live in the Web, Headless, Mobile, and Dictation documentation.
Optimized for 100+ medical specialties across the platform. Cardiology notes should differ from behavioral health notes, and that clinical specificity carries across the surface you choose to ship.
Supports 80+ languages for conversation capture with automatic English note generation. Patients can speak in their preferred language while clinicians and care teams receive formatted English documentation across web, mobile, or API-driven integrations.
Customize the pre-built Web SDK UI to match your design system, own every screen with Headless, connect hosted dictation with the Dictation SDK, use your own client over APIs, or follow native iOS patterns with the Mobile SDK. You decide how much Suki chrome appears in the product.
A partnership starts by aligning product goals, technical architecture, success criteria, and rollout strategy. Here's how we work together:
See it in action. Review how Suki SDKs and APIs fit a live clinical workflow. Our team tailors the discussion to your product, users, roadmap, and systems.
We'll map the path. Solutions Engineering reviews your environment and defines the integration scope, dependencies, ownership model, and timeline.
Prove it works. Start with a focused user group, gather feedback, and validate clinical, product, operational, and adoption outcomes before expanding.
Scale with confidence. Roll out broadly with ongoing support so the integration can keep pace with your product roadmap, user base, and volume.