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The heart of AI

SUPERETHOS · FOR YOUR BUSINESS & YOUR CUSTOMERS

Human judgment for AI.

Human judgment. Built into your business.

Create expert-guided AI experiences for employees and customers. Bring your knowledge, human values and customer context into recommendations, with sources and a clear path to review.

Discuss your business use case Explore business examples

Your knowledge. Your values. Your control.

BUSINESS APPLICATIONS

Put your expertise to work.

For your employees. For your customers. Shape expert-guided AI around your knowledge, values and review needs.

Customer-service exception review

Bring service policies and customer circumstances into a proposed exception. Surface missing evidence and review needs before an authorized person decides.

Give reviewers more context for sensitive service decisions.

Discuss this use case

Knowledge & learning experiences

Use approved expert knowledge for employee learning, with attribution, reflection questions and sources reviewers can inspect.

Help employees explore domain expertise and apply it to their work.

Discuss this use case

Contextual policy guidance

Explain a policy in the context of a team’s work. Distinguish source facts from interpretation and escalate ambiguous or out-of-scope requests.

Give teams clearer policy context and a defined path to review.

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Customer-facing expert experiences

Build an experience around licensed domain expertise, your audience and permitted uses. Keep the expert’s perspective and review responsibilities visible.

Bring relevant expert perspectives into your customers’ experience.

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EXAMPLE CONFIGURATION

Share the teaching.
Keep the expert’s intent.

One expert, different audiences. See how context shapes a response and permissions determine where it can go.

SourcePublic teaching notesContextAdult learning communityJudgmentAPPROVED

  1. 01Super Identity

    Rights & sources

    Rights holder
    Example educator
    Permitted scope
    Attributed motivational teaching for adult learners
    Super Data source
    Public teaching notes · source version 1

  2. 02Selected use

    Selected use

    Use
    Motivational response
    Audience
    Adult learning community
    Situation
    A learner wants encouragement before a difficult presentation.

  3. 03SuperEthos

    Human judgment

    Reviewer
    Rights holder’s designated editor
    Principles
    • Faithful attribution
    • Respect the learner’s context
    • Make uncertainty visible
    Uncertainty
    General encouragement fits the teaching scope. Individual results remain uncertain.

  4. 04Super Control

    Permitted channel

    Channel
    Member learning chat
    Check
    Independent permission check against the selected use and channel.
    Decision
    APPROVED

PROPOSED RESPONSE

Choose one quality to bring, then connect it to one small observable action.

AUTHORIZATION

APPROVED

Learning response permitted in the member channel.

REVIEWER ACTION

Rights holder’s designated editor reviews flagged uses.

Judgment informs · permissions decide

Example teaching and policy. These scenarios show review decisions without publishing or taking connected actions.

FOUR LAYERS

Four connected layers. Authority stays with people.

Define rights to your expert knowledge, the sources your experience uses, and how company values and customer context inform recommendations. Independent permissions govern integrated actions.

  1. 01 · Your configuration

    Super Identity

    Choose how your identity and expertise are used

  2. 02 · Your configuration

    Super Data

    Bring trusted knowledge with clear attribution

  3. 03 · Your configuration

    SuperEthos

    Give recommendations human context and values

  4. 04 · Your configuration

    Super Control

    Set independent permissions for connected actions

FLAGSHIP LEARNING · DR. SUJITH RAVINDRAN

Learn with Dr. Sujith.

A flagship example of licensed domain expertise: Dr. Sujith Ravindran’s work on human potential brings a distinct expert perspective to learning. Explore his complete learning journey in its own right.

Open the learning hub His research
AI Licensed Twin: Dr. Sujith Ravindran in a navy kurta, facing forward
Dr. Sujith Ravindran · AI Licensed Twin

EVIDENCE & EXPLORATION

See the sources. Try the reasoning.

Every recommendation should trace back to a source and a person who can review it.

Research & sources

Sources behind the method.

Public research, dated industry context and the licensed foundation, with Super’s interpretation labelled.

Research & sources

Model-backed · advisory

Source-linked AI reflection.

Describe a fictional situation for principles and questions. Reflections support review, never act and are not saved.

Try an AI reflection

Rules-based · no AI model

Example scenarios.

Eight example agent decisions showing how context and a consistent policy shape a recommendation.

Explore the scenarios

Industry contextYC · Winter 2027 Requests for Startups · a16z · Big Ideas 2026, Part 1 · a16z · The New Security Agenda Independent commentary; no affiliation or endorsement.

QUICK ANSWERS

What teams ask first.

What is SuperEthos, and who is it for?
SuperEthos helps B2B companies apply human judgment and wisdom in their business or in experiences for their customers. It serves business, CX, product, operations, L&D and AI teams building expert-guided recommendations and learning experiences.
What business uses can we explore?
Examples include customer-service exception review, employee knowledge and learning, contextual policy guidance, and customer-facing expert experiences. Shape expert-guided AI around your knowledge, values and review needs.
What inputs does our company provide?
Bring domain knowledge you own or have rights to use, relevant policies, intended audiences, customer context, values and shareable example cases. Define permitted uses, attribution and review owners. Voice or likeness is optional and requires appropriate rights.
How are values and customer context applied?
Select the principles and context relevant to your use case, such as service commitments, customer circumstances and escalation criteria. Keep source facts distinct from interpretation; qualified reviewers resolve conflicts rather than inferring values from demographics.
How do sources and human review work?
Connect approved knowledge to its sources and attribution so reviewers can examine the basis for a recommendation, missing evidence and uncertainty. Agree who reviews sensitive or ambiguous cases. Source-linked review supports judgment; it does not establish correctness by itself.
How does this complement models, retrieval and guardrails?
Base models generate and reason; retrieval supplies relevant knowledge; guardrails and policy tools constrain configured behavior. SuperEthos adds licensed or owned expert knowledge, human values and customer context to source-linked review. Reviewers assess recommendations; independent permissions govern integrated actions.
Who owns the knowledge, and what controls actions?
Use knowledge your company owns or is licensed to use; rights, attribution and permitted uses are agreed for each engagement. Super Identity addresses rights, Super Data sources, and SuperEthos judgment. Independent permissions through Super Control govern integrated actions; a recommendation cannot authorize execution.
What is available, and how do we start?
Prepare an introduction with your use case and goals through the contact page. Tailored deployments define audiences, sources, review responsibilities, integration scope and connected-action permissions per engagement. This site offers rules-based examples, consent-based advisory reflection and public learning resources; the contact action prepares an email draft you send yourself.

START A CONVERSATION

Bring human judgment into your business.

Bring a use case, the principles or expertise you want represented, and a few example scenarios you can share.

Discuss your business use case How it works

Built around your expertise, audience and goals.

  1. Share your use case

    Prepare an introduction with your use case and goals.

  2. Talk it through

    The policy you want to test and the data you can share.

  3. Shape the deployment

    Sources, audiences, review and integration scope for your business.

Next step

Human judgment for your business.

Build around your knowledge. Choose your audiences, uses and review process.

Discuss your business use case Learn with Dr. Sujith