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AI CHATBOT DEVELOPMENT

Build an AI chatbot with clear business controls.

Help customers find information, explore products and complete supported tasks. Ground answers in approved sources, send uncertain cases to people and keep important actions visible.

Approved sources

Human handoff

Review history

Our Process

How We Build Your AI Chatbot

From approved information and conversation design to testing, integration and a controlled release

1

Data Collection

We gather your product catalog, FAQs, and customer interactions to train the AI.

Products FAQs History
2

Knowledge & Behaviour

We connect approved information, response rules, tool permissions and handoff behaviour.

Instructions Review cases
3

RAG Integration

Connect approved documents or product data so answers can refer to relevant source information.

Pinecone E5-v2
4

Test & Release

Test common, uncertain and sensitive conversations before selecting the hosting and release plan.

Test cases Monitoring

How Your Query Gets Answered

💬
User Query
🔍
RAG Search
🧠
LLM Process
Smart Reply

Average response time: 0.3 seconds

Tech Stack

Technologies That Power Your Chatbot

Enterprise-grade infrastructure for reliability and scale

🧠

LLM Models

Core Intelligence
GPT-4 Turbo Most Popular
Claude 3 Opus Enterprise
Llama 3.1 70B Self-hosted
📊

RAG System

Vector Search
Pinecone Vector DB
E5-large-v2 Embeddings
Top-K Retrieval <50ms
☁️

Infrastructure

Cloud & Scale
Hosting Selected by scope
Auto-scaling Dynamic
Service target Agreed in scope
🎯

Fine-tuning

Customization
QLoRA Method Efficient
LoRA Rank 64
Training Time ~72 hrs
🔗

Integrations

E-commerce
Shopify Native
WooCommerce Plugin
Custom API REST
🔒

Security

Scoped to your requirements
Data access Role based
Source scope Approved
Sensitive actions Reviewed
E-commerce AI Features

Chatbot Features That Support Customers

Every feature designed to convert visitors into paying customers.

Smart Product Search

"Show me blue running shoes under $100" - Natural language product discovery that feels like talking to a sales expert.

One-Click Add to Cart

Customers add products directly in chat without leaving the conversation. Seamless shopping experience.

Smart Upsells & Add-ons

The chatbot can suggest relevant accessories or related products using catalog rules and available product data.

Cart Recovery

The workflow can prepare an approved reminder for a saved cart and include an offer only when the business has configured one.

In-Chat Checkout

Complete the entire purchase without leaving the chat. Integrated payment processing for frictionless buying.

Order Tracking

"Where's my order?" - Tracking updates from the connected order system, delivery notifications, and post-purchase support.

Live Demo

Pablo AI — Try It Now

Explore an illustrative automotive-parts assistant. See how catalog questions can be handled with source information and human review.

🤖

Pablo AI Assistant

Automotive Parts Expert • Always Online

🤖

👋 Hi! I'm Pablo, your AI automotive parts expert. This is an illustrative catalog assistant demonstration.

I can help explain a parts-search journey. Compatibility must be checked against the available source data. What are you working on today?

Pablo AI • Just now

I need an oil filler cap for my 1986 Hyundai Excel with the 1.5L engine

You • Just now
👤
🤖

🎯 Great! I found 4 compatible oil filler caps for your 1986 Hyundai Excel 1.5L:

🔧
Beck/Arnley 016-0050 Best Match

Engine Oil Filler Cap • OE Exact Grade

$8.99 Fits 326 applications
🔧
Gates 31085 Premium

Engine Oil Filler Cap • Twist Lock

$12.49 Fits 546 applications

💡 Pro Tip: The Beck/Arnley 016-0050 has the exact OE specifications for your Excel's 1.5L SOHC engine.

Pablo AI • Just now • Searched 577M records in 0.3s

📊 Illustrative workflow checks

Source found Check
Response prepared Check
Sensitive action Review

🧠 Knowledge Base

Product data
Fitment data
Documents
Review rules
🚀

Full Pablo Experience

View architecture, training details & more

Explore Pablo
Technology

Model choices matched to the workflow

We compare model fit, information access, cost, speed and hosting requirements during discovery.

G

GPT-4 Turbo

Most Popular

A hosted-model option for complex language workflows, subject to current availability and data requirements.

C

Claude 3

Enterprise Ready

Exceptional safety features for enterprise and healthcare.

L

Llama 3

Self-Hosted

Full data privacy with on-premise deployment option.

What should your chatbot help people do?

Share the questions, product information, systems and handoff rules. We will turn them into a clear scope and project estimate.

What to agree before we build.

Businesses answering repeat questions and supporting customers. Knowledge sources, conversation flows, integrations and human handoff.

  1. Understand the work
  2. Agree the scope
  3. Build and review
  4. Test and hand over

What we deliver

Knowledge sources, conversation flows, integrations and human handoff. We define the screens, integrations and acceptance checks around your business requirements.

What depends on other services

Existing data, provider access, payment or messaging accounts, app-store review and device or supplier access can affect the scope. Provider charges and approvals are agreed separately.

Testing, privacy and handover

Plan role access, input checks, failure states and protection of customer information. Review the working journey with your team, then agree deployment, ownership and maintenance responsibilities.

Controls, integrations and ongoing support are scoped for the project. No security certification, business result or fixed launch date is implied.

What do we need to provide for ai chatbot development?

Bring your users, the main tasks, existing systems and any required account access. We review these inputs and agree a written scope before implementation.

What is included in the handover?

Agree source-code access, account ownership, deployment notes, tests, documentation and support responsibilities in the project scope. Hosting, provider fees and later changes are listed separately.

How are cost and timing decided?

They depend on the screens, workflows, integrations, data quality, testing and approval dependencies. Sagiam prepares an estimate from the agreed scope rather than promising one price or duration for every project.

WhatsApp 🤖 Pablo Demo