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Automation that fits how Bangladeshi businesses actually run — customers messaging in Banglish on WhatsApp, invoices arriving as paper challans, and costs that have to make sense in taka. We build the narrow, boring automations that remove real hours, and we are direct about what does not work here.
Answers your customers ask fifty times a week — price, stock, delivery time, location — handled automatically, in Bangla, Banglish, or English, against your real product and policy data.
From 40,000 Tk
Orders placed in a WhatsApp thread land in your inventory or POS — stock decremented, bKash/Nagad payment link sent, status updates fired on the official Cloud API.
From 60,000 Tk
Supplier invoices, challans, and purchase orders read automatically into your system instead of typed by hand — with a review step for anything the model is unsure about.
From 1,20,000 Tk
The repetitive internal work: reorder alerts, daily report generation, data moving between two systems that were never designed to talk to each other.
From 80,000 Tk
On running costs: every automation has a monthly bill beyond the build — AI model usage is charged in US dollars and scales with volume, and WhatsApp conversations are billed directly by Meta. It is usually modest, it is never zero, and we size it during scoping so you can decide before you commit. Most vendors leave this out of the quote.
Local reality
Most AI automation advice is written for businesses whose customers email in English, whose documents are already digital, and whose revenue is in dollars. None of that describes a Bangladeshi SMB. These are the constraints that decide whether an automation project works here — and the ones we design around from the first day.
Real messages look like "vai ei product ta ache?" or "dam koto?" — Bangla words in Roman letters, often mixed with English mid-sentence, heavily abbreviated. A bot demoed on clean Bangla script will collapse on your actual inbox. We test against your real message history before launch, because that is the only honest way to know whether it understands your customers.
Printed Bangla and English invoices extract reliably. Handwritten Bangla — the challan pad, the delivery slip, the ledger page — is materially less accurate than the English equivalent, and any vendor promising otherwise is selling you a demo. Where accuracy matters we design a human review step for low-confidence extractions rather than pretending the problem does not exist.
Bangladeshi businesses do not run on email or web chat widgets. Orders, questions, and complaints arrive on WhatsApp and Messenger. Automation that lives on your website contact form will sit unused. Meet customers where they already are.
Automation needs something to read. If prices live in one person’s head, stock is a paper register, and orders are in a chat thread, the first project is not AI — it is getting that data into a system. We will tell you if that is where you actually are, because automating on top of nothing produces confident nonsense.
AI model usage is billed in US dollars and scales with conversation volume. That is a real, recurring margin question for a business earning in taka. We size the monthly running cost during scoping and design to keep it predictable — a cheaper model for routine replies, the expensive one only where it earns its cost.
The projects that succeed automate a single, painful, repetitive task — after-hours order capture, invoice data entry, order-status replies — prove the saving, then expand. The projects that fail start with "an AI system for the whole business". We will push you toward the narrow first version even though the big one is a bigger invoice.
Straight answers
AI is the easiest thing in the world to oversell. These are the jobs we turn down, and the reasons why — so you can judge the rest of this page knowing what we are not claiming.
Bulk WhatsApp senders get your number permanently banned. We build on the official API or not at all.
Complaints, refunds, medical or legal guidance, and price negotiation stay with your team. A bot that improvises on these costs you customers.
If the underlying workflow does not work, automating it just produces bad outcomes faster. We will tell you to fix the process first.
If we cannot state what it saves in hours or taka, it is a demo, not a project. We would rather scope something smaller that pays for itself.
How we work
Typical timeline: 3–5 weeks for a single-workflow automation, 6–10 weeks for a document processing pipeline. The date we commit to depends as much on how fast feedback and content come back as on how fast we build — we will be straight with you about that in scoping.
We ask what your business actually does and where the work is going wrong — before talking about software. If what you need is smaller than what you asked for, this is where we say so. No charge, no obligation.
You get the scope in writing, with a fixed price where the requirements are clear, before any work starts. If something is genuinely unknowable up front, we say that too rather than burying it in an estimate that moves later.
Work ships in agreed stages, and at each one you get something working to click through — not a status update. That means you catch a misunderstanding in week two, when it is cheap, instead of at handover.
Code, hosting, domain, and accounts go in your name. We train your team on the real system with your real data. You are never locked in — if you leave, everything is already yours.
Launch is when the real bugs appear. An agreed post-launch fix period is included in every project. After that, maintenance is a separate retainer with published pricing — not a surprise invoice.
Common questions
A rule-based FAQ or order-status bot starts around 40,000 tk. An AI assistant that handles Bangla and Banglish against your own product or policy data typically runs 90,000–1,80,000 tk. Document and invoice data extraction starts around 1,20,000 tk and scales with document variety. Custom workflow automation is scoped after we map the process, usually from 80,000 tk.
Bangla script is handled well by current models. The harder problem is that real customers rarely write in Bangla script — they write Banglish ("vai ei product ta ache?"), switch between Bangla and English mid-sentence, and abbreviate heavily. A bot tested only on clean Bangla will fail on day one. We test against real message logs from your own inbox before launch, which is the only way to know whether it works.
This is the part most vendors leave out. Beyond the build, you pay for: AI model usage (billed in US dollars by the model provider, and it scales with conversation volume), WhatsApp conversation fees if you use the WhatsApp API (billed directly by Meta), and hosting. For a small business bot this is usually a modest monthly figure, but it is never zero and it grows with usage. We estimate it during scoping so you can decide before you commit, not after.
Anything requiring judgement, empathy, or liability. Complaint resolution, refund decisions, medical or legal guidance, and final purchase negotiation should stay with a human. We also would not automate a process that is broken — automating a bad workflow just produces bad outcomes faster. Fix the process first, then automate it.
No. Automation usually sits on top of what you already run. If you have a POS, inventory system, or spreadsheets, we connect to them. Replacing working systems to enable automation is rarely worth the cost and disruption.
A focused single-workflow automation (one bot, one process) typically takes 3–5 weeks. Document processing pipelines take longer — 6–10 weeks — because the accuracy work is in handling your real document variety, not in the initial build.
Message us on WhatsApp (+8801337320360) or use the contact form. We review your requirements, send a clear scope and quote, agree on terms, and start work — no long sales cycle.
Order capture and automated replies on the official WhatsApp Cloud API — and why bulk senders get your number banned.
For the parts that need no AI at all — rules-based system integration, usually cheaper and more reliable.
Where extracted invoice data and automated workflows ultimately land — inventory, accounts, and HR in one system.
Tell us the one task your team repeats every day. We will tell you honestly whether it is worth automating, what it would cost to build, and what it would cost to run.
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