HIPAA-compliant AI chatbot for healthcare WordPress sites
SleekAI routes chats directly from your server to OpenAI, Anthropic, Google, or OpenRouter using a key tied to your own Business Associate Agreement, and stores conversation logs inside your own WordPress database with field-level PHI controls.
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HIPAA is a contract question first, a tech question second
HIPAA compliance for a chatbot on a covered-entity site comes down to one yes-or-no question: does the model provider sign a Business Associate Agreement (BAA) with you? Anything else, from encryption to authentication to logging, follows from there. Most consumer chatbot products do not sign BAAs. Most enterprise ones charge a meaningful premium for the same model behind a HIPAA SKU. The cleanest path is to use the model provider directly on a plan that includes a BAA.
SleekAI is built for that path. The plugin sits inside your WordPress install, which is presumably already on a HIPAA-capable host like Pantheon HIPAA, WP Engine HIPAA, or a hardened AWS or Azure setup. Chat requests go straight from your server to the model provider under your own API key on your BAA-covered account. There is no SleekAI-side data store and no SleekAI-side relay, which keeps the sub-processor list tight.
Field-level controls let you mark certain post types, postmeta keys, or custom tables as PHI. The chatbot data mapper either redacts those fields before they hit the system prompt or limits the bot to non-PHI contexts via display conditions. Conversation logging can be scoped per bot, so a public-information chatbot logs everything for audit while a patient-portal bot logs only metadata.
Workflow
How SleekAI fits a HIPAA stack
Host on a HIPAA platform
Use a BAA-covered model
Scope per bot
Audit and rotate
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A typical HIPAA-aware conversation
Comparison
Generic chatbot vs SleekAI for HIPAA
Generic chatbot
- Vendor refuses to sign a Business Associate Agreement
- Logs PHI on a third-party server you don't control
- No field-level redaction before data hits the model
- Sub-processor chain includes uncovered marketing analytics
- No per-bot scoping to keep PHI bots off public pages
SleekAI chatbot
- Direct provider call under your own BAA-covered API key
-
Logs in your own
wp_sleek_ai_conversationstable - Field-level redaction for PHI postmeta and custom-table columns
- Display conditions keep PHI bots behind portal authentication
- Sub-processor list is just the model provider you chose
Features
What SleekAI gives you for HIPAA Compliant Chatbot
BAA-aligned architecture
The chat request goes directly from your server to the model provider under your own key. As long as that key is on a BAA-covered plan, your sub-processor chain for the chatbot is exactly one party.
Field-level PHI controls
Mark specific postmeta keys or custom-table columns as PHI in the data mapper. SleekAI redacts those fields from system prompts or restricts the bot to non-PHI display contexts before any provider call.
Portal-only deployment
Use display conditions to keep PHI-aware bots behind a logged-in patient portal. Public-site bots stay generic and explicitly redirect users away from sharing health details in the chat.
Use cases
Where HIPAA-aware bots earn their keep
Primary care clinics
Public-site bots handle hours, insurance, and new-patient onboarding. PHI-aware bots run behind the patient portal for refill questions and appointment status.
Specialty practices
Dermatology, dental, and physical therapy practices answer pre-visit questions about procedures, costs, and prep without touching identified records.
Telehealth platforms
Telehealth WordPress builds use SleekAI for the marketing site, and integrate the data mapper with EHR APIs behind authentication for the clinical workflow.
The bigger picture
Why fewer hops makes HIPAA easier
HIPAA does not require a specific technology, it requires defensible safeguards and a written, auditable record of who touches PHI. The simplest defensible chat architecture has three components: the WordPress site under your control, a model provider under a BAA, and nothing else. Every extra hop is another Business Associate to vet, another DPA to sign, another quarterly review on the security calendar.
SaaS chat tools often inject those extra hops without making it visible at purchase time. A vendor backend hosts conversations. A vendor analytics tool aggregates them.
A vendor CDN serves the widget. Each is a separate covered party. Each must be added to the Records of Processing entry.
SleekAI keeps the architecture short on purpose. The plugin is local. The data store is local.
The only external party touching chat content is the model provider, and that party is one you already had to contract anyway. For most covered entities, that is the easiest HIPAA paperwork they will draft this quarter.
Questions
Common questions about SleekAI for HIPAA Compliant Chatbot
SleekAI is a plugin you install on your own server. There is no SleekAI-side data store of visitor messages, so SleekAI is not a Business Associate of yours. The BAA you need is with the model provider whose API key you configured, since that party processes the text of chat messages for completion.
 OpenAI offers a BAA on Enterprise and ChatGPT Enterprise tiers. Azure OpenAI offers a BAA on Microsoft's covered enterprise agreements. Google offers a BAA on Google Cloud Vertex AI under qualifying contracts. Anthropic offers a BAA for enterprise customers. Always verify current terms with the provider before launch.
 Into a custom table inside your own WordPress database. SleekAI does not phone home with conversation content or metadata. The host you put WordPress on (Pantheon HIPAA, WP Engine HIPAA, Azure, AWS) is the storage layer for those logs, and a BAA with that host covers the at-rest piece.
 Yes, with a few patterns. Mark postmeta keys or custom-table columns as PHI in the data mapper so they never enter the system prompt. Use display conditions to keep PHI-aware bots scoped to authenticated portal pages. Add a pre-send filter that strips obvious patterns like SSNs or MRNs from user input as a safety net.
 Configure each bot's data mapper to expose only the fields it needs for its job. A pre-visit FAQ bot may only need office hours, insurance accepted, and provider names. A refill-status bot behind the portal needs more, but still nothing about diagnoses unless the use case demands it. Tighter mapping is simpler audit.
 By default no. You can opt in for security purposes under a legitimate-use justification, but most clinical deployments skip it. Page URL, model name, and token count are the default per-conversation metadata, all of which are usually fine for audit without raising additional HIPAA concerns.
 SleekAI ties into WordPress user roles and capabilities. A PHI-aware bot can be restricted to logged-in users in specific roles (such as portal-patient) via display conditions. Pair that with a strong portal authentication setup (MFA, session timeout) on the WordPress side for a defensible access model.
 Yes. Multibot mode runs several chatbots on one site with separate system prompts, data sources, and display conditions. The public site can run a marketing bot on a cheaper model with broad logging, while the portal runs a tightly scoped PHI bot on a BAA-covered model with minimal logging metadata.
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