Skip to content

AI Agents, Chatbots & Voice Agents

AI agents and chatbots that work inside your business

I build AI assistants that do real operational work: qualify inbound leads, answer customer questions strictly from your verified documents (RAG), book appointments over the phone by voice, and write structured data straight into your CRM. No fragile prompt toys — everything is built with guardrails, deterministic tool calling, and full audit logs.

01 — Proven in production

Real client outcomes

24/7 AI clinical intake (Ellie)

Achievement Behavior Services (USA)

Turned a long pediatric therapy intake form into an empathetic RAG assistant that answers parent FAQs and syncs qualified families to CRM.

View case study
Sub-700ms voice turn latency

Riley — AI Voice Scheduling Agent

Built a 24/7 phone agent that handles inbound calls, checks real-time calendar availability, books appointments, and sends SMS confirmations.

View case study
Grounded RAG with citations

Elite Property & Insight Forge

Shipped a real-estate AI assistant with custom CMS and a multimodal RAG research engine with verbatim source citations.

View case study

02 — Scope & capabilities

What you get

  • Website chatbots that answer from your documents and database (RAG with pgvector)
  • 24/7 AI voice agents (Vapi, Retell) that answer calls, qualify callers and book calendar slots
  • Conversational intake flows that replace high-drop-off static forms and sync to your CRM
  • Internal AI systems — multimodal RAG research engines, stock/market analysts, content pipelines
  • Production LLM integrations with OpenAI, Claude and Gemini with strict JSON schema validation

03 — Engineering workflow

How we ship it

  1. Step 01

    Knowledge Base & Guardrail Design

    We structure your documents, pricing, and policies into a hybrid pgvector knowledge base so the agent never hallucinates.

  2. Step 02

    Tool Calling & Calendar/CRM Wiring

    We connect deterministic tools for slot lookup, appointment booking, and lead creation in HubSpot, GoHighLevel, Monday.com, or Odoo.

  3. Step 03

    Latency & Conversation Testing

    For voice agents, we tune endpointing, STT/TTS streaming, and interruption handling; for chat, we test adversarial prompts.

  4. Step 04

    Live Deployment & Transcript Monitoring

    Embed on your site or bind to your Twilio/SIP phone number with full conversation logs and human-handoff escalation rules.

04 — Case studies

Real projects

05 — Technical architecture

06 — FAQ

AI Agents, Chatbots & Voice Agents: questions

Straight answers to what clients usually want to know before we start.

Can the chatbot answer questions strictly from my own business data?

Yes. I connect it to your documents, website and database using hybrid retrieval (RAG with PostgreSQL pgvector), so answers come strictly from your verified information rather than generic AI guesses.

Do you build AI voice agents for inbound and outbound phone calls?

Yes — I build low-latency voice agents using Vapi, Retell, OpenAI and Twilio that answer calls 24/7, qualify leads, book or reschedule appointments on your calendar, and transfer to a human when needed.

Will the AI agent connect to my existing CRM and calendar?

Yes. Every qualified lead, call summary, and booked appointment syncs automatically into HubSpot, GoHighLevel, Monday.com, Salesforce, Zoho, Google Calendar, Cal.com, or a custom database.

How do you prevent the AI from hallucinating prices or policies?

By combining strict system prompt boundaries, low temperature, hybrid vector + keyword retrieval, and structured tool schemas. If a caller asks something outside the approved knowledge base, the agent escalates cleanly to your team.

Other services

→ — What's next

Got an idea?
Let's ship it.

Tell me what you're building. No sales team, no hand-offs — just the engineer who'll build it.

Rafay KhanRafay KhanYou'll talk to me directly
—in Lahore · UTC+5
Replies in a few hoursUsually around now