AI Website Development
Turn your website into an intelligent business interface.
We build websites where AI can understand, answer, search, recommend, qualify and act — grounded in your content, wired into your CRM, WhatsApp and calendars.
RAG-grounded
no free-guessing
Tool-calling
acts on your systems
Human handoff
when it should
Visitor
Website
AI Assistant
Knowledge
CRM · WhatsApp
Answer / Action
Live data flow Grounded · Traced · Logged
Brochure vs interface
A traditional website waits. An AI website engages.
AI doesn't replace good UX — it collapses the distance between a visitor's question and the answer they actually need.
Traditional website
Visitor does the work.
1. Browse
Scans nav and hopes the answer is one click away.
2. Search manually
Types keywords, gets keyword matches — not intent matches.
3. Fill a form
Guesses which fields matter. Submits with no context.
4. Wait
Follow-up in hours or days. Interest cools. Deal drops.
AI website
GroundedWebsite does the work.
1. Ask
Types in natural language. No hunting for the right page.
2. AI understands intent
Extracts requirement, industry, urgency, geography.
3. Retrieves + recommends
Grounded in your pages, docs, case studies and product data.
4. Qualifies + hands off
Creates CRM lead, notifies sales, offers WhatsApp continuation.
What AI can do
Twelve things AI can do on your website today.
Click any capability to see a lightweight demonstration. Everything below is a shipping pattern — not a research experiment.
Demonstration
AI Customer Assistant
I need a website for my dental clinic.
Got it. Single location or multiple? And do you want online appointment booking?
Two clinics. Yes to booking.
For a 2-clinic setup with booking, I'd recommend our Clinic package (booking + WhatsApp reminders + Google reviews). Want me to send a proposal to sales?
Simulated UI · not a live model call.
Live-style demo
Watch a conversation turn into a qualified lead.
A simulated end-to-end interaction — visitor question, grounded discovery, case-study retrieval, calendar tool, lead capture, CRM write, WhatsApp handoff.
Siddiq Assistant
Online · grounded on siddiq.in
I'm looking for a website for my manufacturing company.
Happy to help. Quick question — do you sell B2B (to distributors/factories) or direct to end customers? And roughly how many product SKUs?
Intent detected · Manufacturing B2B
Typing…
Ask anything…
Demonstration only · not a live model call
Understands intent
Classifies vertical (manufacturing), motion (B2B), catalogue size.
Retrieves grounded context
Pulls the closest matching case study, cites its source.
Calls tools
calendar.availability, hubspot.create, wa.send — each schema-validated.
Warm handoff
Slack ping to sales with full transcript; visitor moves to WhatsApp seamlessly.
How the AI actually works
No black box. Traceable, layer by layer.
Under every 'chat with our AI' box there's a specific chain of calls. Here's the one we build.
01
User question
Visitor
02
Website
Web / Mobile / WhatsApp
03
AI orchestration
Router · classifier · tool planner
04
Knowledge / context
Website pages
Vector DB
PDFs · docs
05
LLM
GPT / Claude / Gemini · model routed by task
06
Tools / business systems
CRM
WhatsApp
Calendar
07
Response / action
Answer · booking · lead · notification
AI + your business knowledge
Grounded answers, not guesses.
RAG — retrieval-augmented generation. The model doesn't have to remember your business. At every question, we look up the most relevant snippets from your knowledge and pass them into the prompt.
1 · Sources
Website pages
PDFs
FAQs
Product data
Policies
Documentation
Service info
2 · Knowledge layer
Vector database
· Chunked + embedded
· Semantic + keyword hybrid
· Auto-reindex on content change
· Source citations preserved
3 · Grounded answer
"Our AMC covers 4 site visits a year with a 24-hour response SLA on breakdowns."
Source: amc-terms.pdf · §3.2
Why this matters: the model can only answer with what you've approved it to see. Update a page — the answer updates. Remove a policy — the assistant refuses to speak on it.
Different industries, different AI shapes
Same stack, tuned to the business.
Five commerce concepts — each with the interaction pattern, retrieval sources and tool calls that matter in that sector.
AI Experience Concept
Healthcare · assistant
I've had lower-back pain for 3 weeks. Which specialist should I see?
Sounds like something for our spine + physiotherapy team. Would you like to see slot options at the Indiranagar clinic?
Symptom triageSlot bookingCost estimator
What's under this healthcare demo
Retrieval sources
Doctor profiles, service pages, insurance policies, clinic hours.
Tool calls
calendar.book · patient.create · reminder.send
Handoff trigger
Any clinical detail, insurance dispute, or emergency intent → live coordinator.
AI lead qualification
Sales gets already-briefed leads.
Instead of a form drop, sales gets a structured brief — context, requirement, fit score, transcript.
Step 1
Visitor lands on site
Step 2
AI opens conversation
Step 3
Understands requirement
Step 4
Qualifies · budget, timeline, fit
Step 5
Captures contact + consent
Step 6
Writes into CRM (HubSpot / Zoho)
Step 7
WhatsApp / email confirmation
Step 8
Sales gets a warm, briefed lead
AI search
Understand the ask, not just the keywords.
Traditional site search matches words. Semantic search matches intent. Compare the same query on both.
I need an online store that supports UPI, COD and around 500 products.
Ecommerce Website Development
UPI + COD via Razorpay, Shopify or Woo for 500-SKU catalogues — matches your brief.
Match: UPI · COD · catalogue size
Case study · Kalinda D2C
Shopify + Razorpay UPI-first, 42% mobile conversion, 380 SKUs.
Match: platform · size band
Comparison · Shopify vs WooCommerce
Which fits a 500-product Indian store — honest tradeoffs.
Related decision
Direct answer: for a 500-product Indian store with UPI + COD, Shopify is the fastest launch, WooCommerce gives you the most control. Want a scoped estimate?
AI + automation
Every conversation, a chain of actions.
AI without tools is a demo. AI with tools is infrastructure. We wire assistants into n8n / Make / native SDKs so intent turns into action.
AI Assistant
n8n / workflow
CRM
WhatsApp
Calendar
Database
Workflow · 01
Lead routing
AI qualifies → HubSpot lead → round-robin assign → Slack + WhatsApp notification.
Workflow · 02
Appointment booking
AI reads calendar → holds slot → creates Google Calendar event → confirmation email + WA.
Workflow · 03
Follow-up sequence
No-reply 24h → AI drafts nudge → sends via reply-to-thread email + WhatsApp.
Workflow · 04
CRM enrichment
New lead → Clearbit/Apollo lookup → company size + revenue tagged → segment applied.
Workflow · 05
Internal notification
High-intent detected → Slack DM to the right AE with transcript summary.
Workflow · 06
Document generation
Discovery complete → AI drafts scoped proposal PDF → routed for internal review.
Technology ecosystem
Every layer, a defensible choice.
Each tool below earns its place with a specific job — no logo walls, no partnerships implied, no lock-in for its own sake.
AI
OpenAI
GPT-5.1, GPT-4.1, embeddings, Realtime for voice.
Anthropic Claude
Long-context reasoning, reliable tool use.
Google Gemini
Multimodal + very cheap fast tier.
Open weights
Llama, Mistral, Qwen — for self-hosted sensitivity.
Frontend
Next.js
SSR chat UIs, streaming responses, edge functions.
React
Custom assistants, dashboards, admin surfaces.
Tailwind
Design system for AI-native UIs.
Data
Supabase
Postgres, pgvector, auth, storage — end-to-end backend.
PostgreSQL
System of record + pgvector for embeddings.
Pinecone / Qdrant
Dedicated vector DBs at scale.
Automation
n8n
Self-hosted workflow orchestration between AI and tools.
Make / Zapier
Faster to ship when custom code isn't warranted.
Business integrations
WhatsApp Cloud API
Direct or via Interakt / AiSensy / Wati.
HubSpot / Zoho / Pipedrive
CRM writes, lead scoring, note dictation.
Cal.com / Calendly / Google Calendar
Slot booking + reschedules from conversation.
Infrastructure
Vercel
Edge deploys for streaming chat.
Cloudflare Workers
Low-latency inference proxy + rate limits.
Docker + own VPS
When data residency demands self-hosting.
Safety & guardrails
AI can be wrong. We plan for that.
No responsible AI deployment claims perfect accuracy. Every one of ours ships with the ten layers below — because 'the AI said so' is not an acceptable answer to a customer.
Layer 01
Knowledge grounding
RAG-first — the model only speaks on what you've approved. Everything else is a refusal.
Layer 02
Prompt controls
System prompts are versioned, tested, and shipped through code review — not a chat UI.
Layer 03
Input validation
Prompt injection detection, PII redaction, jailbreak patterns filtered before the model sees them.
Layer 04
Output handling
Structured outputs (JSON schema), post-hoc validators, content classifiers for sensitive domains.
Layer 05
Human handoff
Confidence drop, out-of-scope, or explicit ask → warm transfer with full transcript.
Layer 06
Access control
Retrieval scoped by user role. Internal docs don't leak into public assistant answers.
Layer 07
Logging + audit
Every prompt, retrieval hit, tool call and response logged with a trace ID for review.
Layer 08
Privacy
No-training endpoints, PII masking, GDPR/DPDP data-subject support, opt-out per user.
Layer 09
Evaluation
Golden datasets, adversarial suites, weekly production evals. Regressions block deploy.
Layer 10
Rate + cost controls
Per-session token budgets, model routing, aggressive prompt caching, spend alarms.
The honest disclaimer
AI can make mistakes. We do not — and would not — promise perfect accuracy. What we do promise: architecture that minimises the surface for error, guardrails that catch what slips through, humans at the point where being wrong costs the most.
Human + AI
AI handles the many. Humans handle the meaningful.
AI handles
The high-volume, repeatable stuff.
- Common questions and FAQs
- Discovery and initial fit checks
- Semantic search and retrieval
- First-touch lead qualification
- Routine workflows and status updates
Human handoff
The judgement-heavy stuff.
- Complex or novel questions
- Live sales conversations
- Sensitive or clinical decisions
- Escalations and exceptions
- Anything the AI flags as low-confidence
AI cost economics
AI features have an ongoing run-rate.
Unlike a static site, AI features cost money every time they think. Here's what drives that cost and how we control it.
What drives cost up
More conversations
Linear with traffic × engagement rate.
Longer context per turn
Every retrieved chunk, tool result and history turn adds tokens.
Bigger models
GPT-5.1 vs GPT-4.1-mini can be 10–30× per call.
More tool calls
Multi-step planning re-invokes the model each round.
What we architect to hold it flat
Model routing
Cheap model for classification, strong one only for reasoning turns.
Prompt caching
Static system + retrieval prefix cached — 50–90% discount on repeat structure.
Context discipline
Retrieve top-k that matters; summarise long histories.
Rate limits + budgets
Per-session and per-day caps. Alerts before the bill surprises you.
Build vs add
You don't always need a new website.
Half our AI work is layering intelligence into a client's existing site. The other half is greenfield. Here's how we tell them apart.
Path 1
New AI-first website
- 1Strategy + AI use-case
- 2Conversation-first UX
- 3Website + assistant built together
- 4AI architecture from day 1
- 5Full integration stack
Pick this when: New site anyway · legacy CMS can't extend · brand refresh due
Path 2
Add AI to existing website
- 1Audit stack + traffic
- 2Identify high-ROI AI moments
- 3Layer assistant / search / qualifier
- 4Wire knowledge + tools
- 5Test + soft launch
Pick this when: Site works · content is fresh · CMS is extensible · rebuild not justified
AI website development process
Thirteen stages, one accountable partner.
Shipping AI isn't shipping a chat widget. It's a distinct discipline with its own gates, evals and safety review.
Stage 1
Business problem
What are we actually trying to move — leads, deflection, activation, retention?
AI projects
Selected AI website concepts.
Interfaces, conversations, workflows and integrations from AI-first builds. Where labelled 'concept', the pattern is real; the client is illustrative.
Sample visitor question
Grounded, tool-augmented reply…
Clinic concierge assistant
Healthcare · booking + insurance Q&A
Sample visitor question
Grounded, tool-augmented reply…
B2B RFQ assistant
Manufacturing · datasheet retrieval + RFQ routing
Sample visitor question
Grounded, tool-augmented reply…
Course fit assistant
Education · match + counsellor handoff
Sample visitor question
Grounded, tool-augmented reply…
Property discovery
Real estate · natural-language search + sitevisits
AI website FAQ
Straight answers on shipping AI.
AI · when the website earns its keep
What if your website could actually help run the business?
Tell us the moment you'd like AI to own — first-touch qualification, product recommendation, support deflection, internal knowledge. We'll come back with a scoped use-case and an honest go / wait recommendation.
AI website
Add real AI to your website
Share what you'd like AI to do on your site — support, lead qualification, search, content. We'll reply with a practical plan.
- Personal reply from Siddiq within 24 hours
- Honest advice — no pushy sales, no fake urgency
- Clear next steps, timeline, and estimate