The reviewed build begins from the customer website, not a blank chatbot template.
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.
I can answer from approved product, pricing, security, and company pages.
Brand scope activeagent 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.
Core pages, product pages, policies, pricing context, and company pages are separated from low-signal content.
The customer sees what is included, excluded, careful, or waiting for review.
The host answers first, stays in scope, handles competitors tactfully, and keeps the brand voice intact.
Desktop and mobile preview states show the launcher, welcome copy, and first conversation before install.
Visitors get useful product, pricing, security, fit, and policy answers inside the approved scope.
High-intent moments can open a form after the answer and preserve the conversation context for follow-up.
The portal turns questions into categories, source gaps, lead signals, and review actions.
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.
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.
Keeps the conversation moving
Follow-ups are shaped by product fit, pricing intent, implementation context, competitor pressure, or support need.
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.
approved source control
Source approval table before publish.
Brand positioning and primary use cases
Features, workflows, platform modules
Public pricing context and sales handoff
Refunds, security notes, support boundaries
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.
Useful before commerce systems are connected.
Answer fit, specs, shipping, returns, warranty, and subscription FAQs from approved pages.
Collect context for orders, payments, accounts, or refunds without exposing private systems.
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
<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.
Classifies approved sources, answers from the right category, then triggers handoff only after the visitor shows intent.
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
Structured knowledge
Homepage, product, pricing context, integrations, policies, security, company, and press are classified into usable answer categories.
Conversation behavior
The agent answers directly, handles competitor and pricing questions tactfully, and moves the visitor forward with context-aware prompts.
Guardrail scope
General trivia, unrelated requests, and unsafe prompts are redirected without making the agent feel limited.
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.
- Select approved pages
- Build category knowledge
- Calibrate brand tone
- Run evaluation questions
- Preview on the website
- 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.