AI-native Chatbot as a Service

Launch a retrieval-grounded AI chatbot on your own content.

SageAI_BAC gives operators a governed builder for content ingestion, search scopes, persona policy, model routing, quality evidence, and embeddable chatbots.

Create account

Tenant-scoped retrieval Backend-only AI gateway Publication readiness gates

Content Policies, FAQs, site pages Chunked, embedded, and scoped

AI policy Persona, citations, refusal rules Human approval before release

Runtime Widget, channels, reports Tenant audit trail retained

Grounded answer preview Confidence: evidence required

Answers are generated only from the selected scope, with source citations and safe fallback behavior when the content does not support a claim.

Source cited Policy excerpt Trace saved

Tenant-scoped retrieval Source citations Persona and guardrails Model routing Quality cases One-line embed RBAC and audit trail Public demo approvals

AI native controls

Built around the AI work, not bolted onto a form.

Operators can configure the chatbot behavior, verify groundedness, and publish only after the system has the content and evidence it needs.

Ask Sage

Draft persona policy

Use AI assistance to shape tone, refusal posture, and response boundaries while keeping the final write under human control.

RAG

Ground answers in scoped content

Retrieval, citations, and trace records make the source of an answer visible to builders and reviewers.

Quality

Validate before publish

Quality cases, drift signals, source health, and readiness checks protect public widget release decisions.

Ops

Watch usage and outcomes

Reports and audit events help teams operate chatbots after launch without exposing secrets in the browser.

Governed by design

Controls for regulated and customer-owned content.

The product is designed for private and managed SaaS operation where customer content, model settings, embed licenses, and publishing decisions stay under administrator control.

Tenant boundaries Content, scopes, chatbots, reports, licenses, and public demo approval metadata are tenant scoped.

Backend-only AI Model providers and local Ollama defaults are resolved server side; provider keys never belong in the public client.

Human approval AI can assist configuration, but publishable chatbot behavior is controlled by administrators and readiness gates.

Embeddable runtime White-label widgets and channels are licensed, measured, and restricted to approved public chatbot configurations.

Live demo queue

Named bots for every knowledge base

Approved public demo bots load from the real chatbot runtime and open the same embeddable widget customers publish.

Loading active chatbots...

Live example

Ask Essen Care Management

Try a scoped care-management chatbot built from approved Essen Care Management demo content.

What care-management workflows are covered? What should staff do with individual-specific questions? Which documents support this answer?

Open the chat button in the corner and ask one of these questions.

How it works

Move from content to a governed chatbot without putting provider secrets in the browser.

Ingest content

Upload files, crawl approved web pages, or add Q&A content for the knowledge base.

Scope retrieval

Group source material into tenant-safe search scopes that bound every answer.

Configure AI policy

Select model defaults, persona, response rules, citations, and fallback behavior.

Validate readiness

Review quality cases, provenance, source health, license settings, and demo approval.

Publish safely

Embed the widget or connect a channel with governed runtime access.

Ready to configure a governed chatbot?

Create an account, sign in, and use the builder to connect content, policy, model settings, and publication evidence.