01Multi-language chatbots
Assistants that converse in English, Arabic, Urdu and more, with localised support for each market you serve.
AI serviceGrounded assistants · BOT-02
Answers from your documents — and a human when it doesn't know.
Chatbots that answer from your documents and data — and know when to hand over to a human.
ChannelsWeb · Teams · WhatsApp · mobile · voice
LanguagesEnglish · Arabic · Urdu
AnswersCited from your documents
EscalationHuman handover, full context
01/ 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 personalised experience — plant operators, field teams and customers alike.
Our chatbots provide 24/7 automated assistance, faster responses and lower support cost. Flexible, intelligent and ready to deploy.
- 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
02/ LiveInteractive · runs in your browser
Ask the operator assistant.
A small operator knowledge base — an event log, two procedures, a trend summary. Ask about the plant: the answer is retrieved and cited. Ask something outside its scope, and the guardrail says so; ask something it can't answer confidently, and it hands over to a human with the context.
- Retrieval over a document set, every answer cited
- Out-of-scope questions refused by the guardrail
- Low confidence → handover with the conversation attached
03/ What we offer
Inside this service
BOT·01
Operator assistants
Answers from event logs, procedures and P&IDs at the console.
BOT·02
Customer support bots
Resolve routine queries, escalate the rest with context.
BOT·03
Internal knowledge bots
HR, HSE and engineering documents, searchable in chat.
BOT·04
Multi-channel deployment
One bot on web, Microsoft Teams and WhatsApp Business.
BOT·05
Retrieval over your documents
Grounded answers that cite the source document.
BOT·06
Live-agent handover
Full conversation context passed to your team.
04/ How it works in practice
What you actually get
BOT-02·F1
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
BOT-02·F2
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-02·F3
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
05/ More capabilities
Chatbots we also build
Drag or scroll the strip.
02Voice assistants
Hands-free, natural conversation using speech recognition and NLP — for control rooms, vehicles and field work.
03Vision-based chatbots
Bots that interpret photos, gauges and drawings alongside text, for context-aware answers.
04Mobile app integration
Chatbots embedded in your Android and iOS apps for onboarding, support and task automation.
05Customer-service and e-commerce bots
Order tracking, FAQs, returns and product guidance handled automatically, escalated when needed.
06Maintenance and support
Continuous monitoring, timely updates and troubleshooting so the bot keeps pace with your business.
06/ Tools and technologyBuilt with proven tooling
OpenAI
LangChain
Pinecone
Hugging Face
DjangoStack
Azure OpenAIOpenAI APILangChainPythonPostgres
07/ ProcessHow we deliver
Step 01Scope
Users, channels and knowledge sources agreed.
Step 02Connect knowledge
Documents indexed, retrieval tuned.
Step 03Pilot
Real users, measured answer quality.
Step 04Guardrails
Scope limits, tone and escalation rules set.
Step 05Launch and monitor
Usage and answer-quality dashboards.
08/ MethodSMHcoders
“A useful bot answers from your documents, cites its sources, and knows when to hand over to a human.”
SMHcoders · method
Free 45-minute consultation with an engineer: bring one problem, leave with a feasibility read.
09/ 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.
10/ Related services
Proof of concept · 4–8 weeks · your data