Curated collections
Load reviewed product or policy articles instead of unrestricted internet content.
Curated help and answer service
Answer product questions from reviewed content—and say when no authorized evidence exists.
The shared knowledge engine lets ASL products use curated English and Spanish help collections with source authority, audience visibility, conversation context, and evidence-first abstention.
The problem this solves
Replace fragmented work with one understandable path.
A generic chatbot can sound confident while inventing an answer or revealing material the user should not see. The ASL Knowledge Engine answers from an allowlisted collection and audience, preserves source context, and returns no authorized evidence when the corpus cannot support the question.
ASL products needing a consistent Help assistantOrganizations building a governed internal knowledge baseTeams that want answers without exposing proprietary platform details
What the product can do
Capability with a purpose.
English and Spanish pairs
Maintain connected translations with shared version and source identity.
Audience visibility
Separate public, client, staff, and specialized guidance.
Conversation context
Use limited prior turns to understand follow-up questions without accepting authorization from the browser.
Evidence-first answers
Return grounded guidance linked to the approved collection.
Safe abstention
Say when no authorized evidence is available rather than filling the gap.
How a pilot works
Start small. Verify the workflow. Expand with evidence.
Define the help corpus
Select public, customer, or workforce material and the authoritative source for each article.
Review and validate
Create bilingual pairs, visibility rules, version identifiers, evaluation questions, and prohibited disclosures.
Integrate and monitor
Register the product, test real questions and refusals, then update through reviewed releases.
Trust is part of the product
Honest boundaries build better software.
The engine does not let a request choose its own role, tenant, or hidden collection. Content is curated and deployment-controlled. It should answer product questions without publishing credentials, operational secrets, proprietary architecture, or unsupported legal and clinical conclusions.
Questions buyers ask
What to know before choosing ASL Knowledge Engine.
Does the engine browse the entire internet?
No. The documented service answers from curated collections.
Does it require an LLM for every answer?
The product promise is grounded help; implementations can use deterministic retrieval and reviewed content without exposing a token-based dependency to the user.
Can a browser request an administrator collection?
No. Audience and collection authorization are server-controlled.
What happens when the answer is missing?
It returns an insufficient or no-authorized-evidence result.
Can another ASL product use it?
Yes, after a reviewed collection, registration, and acceptance tests are added.
Capabilities reflect the documented Auto Secure Login platform as of August 4, 2026. Availability and onboarding requirements vary by product and organization.
Talk with Auto Secure Login
See whether this fits your organization.
We will map your current workflow, identify the smallest responsible pilot, and document the controls and acceptance criteria before expansion.