Atithya AIAccess

Product

A brand-trained website agent, built from approved knowledge.

Atithya turns your website into a structured answer system. It selects the pages that matter, separates product, pricing, policy, security, and company knowledge, and keeps every answer inside the brand's world.

90+publish-quality target
approved sources
01Websitecaptured
02Sourcesapproved
03Agentscoped
04Leadready
Atithya AI

I can answer from approved product, pricing, security, and company pages.

Brand scope active

agent behavior system

Platform proof, not a landing-page promise.

Every abstract product claim becomes a visible product artifact: answer states, approved sources, guardrails, analytics, customization, install, and pause controls.

Request a reviewed build
01Website URLStart with the public site

The reviewed build begins from the customer website, not a blank chatbot template.

02Source selectionPick what the agent can learn

Core pages, product pages, policies, pricing context, and company pages are separated from low-signal content.

03Source approvalApprove before publish

The customer sees what is included, excluded, careful, or waiting for review.

04Agent behaviorSet the answer style

The host answers first, stays in scope, handles competitors tactfully, and keeps the brand voice intact.

05Widget previewSee it on the website

Desktop and mobile preview states show the launcher, welcome copy, and first conversation before install.

06Live answerAnswer from approved context

Visitors get useful product, pricing, security, fit, and policy answers inside the approved scope.

07Lead handoffAsk after helping

High-intent moments can open a form after the answer and preserve the conversation context for follow-up.

08AnalyticsShow what visitors need

The portal turns questions into categories, source gaps, lead signals, and review actions.

01welcome state

Starts with brand context

The agent opens with a clear promise, approved starter questions, and a tone that feels native to the customer's website.

Brand toneStarter questionsSafe scope
02answer state

Answers before it asks

The response handles the visitor's actual question first, then adds a useful next step only when the conversation calls for it.

Direct answerSource-awareNext question
03follow-up state

Keeps the conversation moving

Follow-ups are shaped by product fit, pricing intent, implementation context, competitor pressure, or support need.

Intent readContext memoryBuyer path
04lead form state

Lead capture after answer

The lead capture after answer form appears only when timing is right, disappears when the visitor continues, and returns only when the conversation shows real intent.

High intentForm timingSales handoff

approved source control

Source approval table before publish.

SourceStatusUse
HomepageApproved

Brand positioning and primary use cases

Product pagesApproved

Features, workflows, platform modules

Pricing pageCareful

Public pricing context and sales handoff

PoliciesApproved

Refunds, security notes, support boundaries

BlogsExcluded by default

Kept out unless the customer approves them

D2C commerce boundary

Storefront education first. Connected commerce after verified integration.

Public-content answers now. Approved commerce connections unlock private actions only after secure integrations are reviewed.

Storefront education mode

Useful before commerce systems are connected.

Public product questions

Answer fit, specs, shipping, returns, warranty, and subscription FAQs from approved pages.

Private support routing

Collect context for orders, payments, accounts, or refunds without exposing private systems.

Connected commerce mode

Private commerce requests need verified integrations.

  • order tracking

    Secure order-status connection + identity check.

  • refund disputes

    Approved returns workflow + policy rules.

  • payment failures

    Payment-status review + safe escalation.

  • subscription changes

    Subscription management workflow + account verification.

  • live inventory

    Approved inventory feed before stock claims.

visitor intent analytics

Dashboard preview

Top questionPricing and implementation fit

Highest intentAsked for comparison and next step

Source gapNeeds clearer integration detail

Lead contextOriginal question plus category

widget customization

Widget editor with strict controls.

LauncherIcon, label, accent

WelcomeHeadline, body, starter questions

Lead formIntro, fields, CTA copy

FallbackHelpful boundary message

preview and install

Install script card

Preview-approved installScoped script
<script async src="https://atithya.ai/widget.js" data-agent="customer-agent" data-atithya-url="https://atithya.ai/embed/customer-agent" data-origin-host="customer.com" data-workspace-id="atithya-demo-workspace" data-position="bottom-right"></script>

One install path, platform-specific guidance, preview domain separation, and customer-domain approval before the agent answers live visitors.

What matters

Not a chatbot trained blindly on the entire site.

The platform is designed for buyer education, visitor engagement, and high-intent handoff without letting random content dilute answer quality.

Visitor asksCan this explain our product without sounding like a generic bot?
Atithya does

Classifies approved sources, answers from the right category, then triggers handoff only after the visitor shows intent.

Customer sees

The page proves how knowledge, behavior, analytics, and control connect inside one product system.

  • Approved source map
  • Answer behavior states
  • Lead after answer
  • Pause and review controls
01

Structured knowledge

Homepage, product, pricing context, integrations, policies, security, company, and press are classified into usable answer categories.

02

Conversation behavior

The agent answers directly, handles competitor and pricing questions tactfully, and moves the visitor forward with context-aware prompts.

03

Guardrail scope

General trivia, unrelated requests, and unsafe prompts are redirected without making the agent feel limited.

04

Lead capture

The form appears after the answer, only when the conversation shows enough intent to justify asking for details.

Workflow

What the product actually does

Every customer gets a controlled setup that protects answer quality before anything goes live.

  1. Select approved pages
  2. Build category knowledge
  3. Calibrate brand tone
  4. Run evaluation questions
  5. Preview on the website
  6. Publish with one script

Product principle

Operator-managed quality layer

Atithya starts managed-service first, so the customer sees a simple workspace while setup, review, QA, and fixes stay controlled behind the scenes.

Build my website agent