AI Chatbot Development — SMHcoders

AI SERVICE // BOT-02

AI Chatbot Development

Chatbots that answer from your documents and data — and know when to hand over to a human.

CONVERSATIONAL AI · GROUNDED

WEB WIDGETMICROSOFT TEAMSWHATSAPP BUSINESSANDROIDIOSVOICEENGLISHARABICURDUCITED SOURCESHUMAN HANDOVERWEB WIDGETMICROSOFT TEAMSWHATSAPP BUSINESSANDROIDIOSVOICEENGLISHARABICURDUCITED SOURCESHUMAN HANDOVER

24/7 ASSISTANCE · EVERY CHANNEL

// Overview

Conversational AI, built for the way your people work

Automation and AI-powered support have made chatbots standard across industries. At SMHcoders we build conversational assistants that streamline operations, deliver real-time assistance and give every user a personalized experience — plant operators, field teams and customers alike.

Our chatbots provide 24/7 automated assistance, faster responses and a significant reduction in support cost. Flexible, intelligent and ready to deploy — choose SMHcoders as your chatbot development partner.

>End-to-end: concept, design, deployment and ongoing support>Built with NLP and machine learning to understand intent, not keywords>Websites, mobile apps, messaging and social platforms

// What we offer

Inside this service

AI-01

Operator assistants

Answers from event logs, procedures and P&IDs at the console.

AI-02

Customer support bots

Resolve routine queries, escalate the rest with context.

AI-03

Internal knowledge bots

HR, HSE and engineering documents, searchable in chat.

AI-04

Multi-channel deployment

One bot on web, Microsoft Teams and WhatsApp Business.

AI-05

Retrieval over your documents

Grounded answers that cite the source document.

AI-06

Live-agent handover

Full conversation context passed to your team.

// How it works in practice

What you actually get

BOT-F1 · GROUNDING

Grounded, not generic

Every answer is retrieved from your document store and cited. If the bot does not know, it says so and routes the question.

>Answers cite the source document >Retrieval over manuals and logs >No training on your data

OPERATOR ASSISTANT // LIVE

Why did compressor K-101 trip last night?

Trip at 02:14 — discharge temp TI-204 crossed 96 °C. Probable cause: fouled intercooler. EVENT LOGTI-204 TREND

Ask about your plant

CHANNEL MATRIX

ONE
KNOWLEDGE
BASE

WEB WIDGET

MICROSOFT TEAMS

WHATSAPP BUSINESS

ENGLISH · ARABIC

SAME ANSWERS, EVERY CHANNEL

BOT-F2 · CHANNELS

Where your users already are

One bot, consistent answers, deployed to the channels your operators and customers actually use.

>Web widget, Teams, WhatsApp >English and Arabic >Single knowledge base behind all channels

BOT-F3 · SAFETY

Safe escalation built in

Guardrails keep the bot inside its scope, and every conversation is logged for review.

>Handover with full context >Configurable guardrails >Audit log of every answer

ESCALATION PATH

QUESTION IN GUARDRAILS CHECK ANSWER + SOURCES HUMAN — FULL CONTEXT EVERY EXCHANGE LOGGED

// More capabilities

Chatbots we also build

Multi-language chatbotsAssistants that converse in English, Arabic, Urdu and more, with localized support for each market you serve.

Voice assistantsHands-free, natural conversation using speech recognition and NLP — for control rooms, vehicles and field work.

Vision-based chatbotsBots that interpret photos, gauges and drawings alongside text, for context-aware answers.

Mobile app integrationChatbots embedded in your Android and iOS apps for onboarding, support and task automation.

Customer-service and e-commerce botsOrder tracking, FAQs, returns and product guidance handled automatically, escalated when needed.

Maintenance and supportContinuous monitoring, timely updates and troubleshooting so the bot keeps pace with your business.

// Tools and technology

Built with proven tooling

OpenAI

LangChain

Pinecone

Hugging Face

Django

AZURE OPENAI OPENAI API LANGCHAIN PYTHON POSTGRES

// Process

How we deliver

STEP 01ScopeUsers, channels and knowledge sources agreed.

STEP 02Connect knowledgeDocuments indexed, retrieval tuned.

STEP 03PilotReal users, measured answer quality.

STEP 04GuardrailsScope limits, tone and escalation rules set.

STEP 05Launch and monitorUsage and answer-quality dashboards.

SMHCODERS // METHOD

A useful bot answers from your documents, cites its sources, and knows when to hand over to a human.

Book a free consultation

// FAQ

Common questions

Will the chatbot invent answers?+

No. Answers are retrieved from your documents and cited. When the bot is not confident, it says so and hands the conversation to a human with full context.

What data do we need to start?+

Most engagements start with 6–24 months of historian, lab or document data. We audit coverage in the first week and tell you plainly if it is not enough — before you commit.

How long until we see results?+

A proof of concept on your historical data typically lands in 4–8 weeks. Production deployment follows once the KPI target is met and your team signs off.

Where does it run, and who sees our data?+

On your infrastructure — plant-side servers, your Azure or AWS tenancy, or an air-gapped network. Data never leaves your boundary, and nothing is used to train third-party models.

Who owns the result?+

You do. Handover includes source code, documentation, training sessions and a retraining plan.