Loading
Loading
Before you pay for AI, ask whether the process needs judgment at all. A sale posting to your ledger, a low-stock alert, an approved form generating a payment voucher — these are rules, not decisions. Rule-based automation is cheaper, faster to build, and does not depend on a model provider's pricing. This is that work.
“AI automation” has become the default term for anything that removes manual work — but most of what slows a business down is a plain rule waiting to be wired up. Paying for a model to do what an if-this-then-that trigger already does is slower to build and more expensive to run, for no benefit.
Use RULES
When the input is structured
Use AI
When the input needs interpreting
In practice most projects are both — a rule-based backbone with one AI step where the input genuinely needs interpreting. We scope each part on its own merits, not as a package.
Two systems that should already talk to each other, wired together — a POS sale posting to your ledger, low stock triggering a supplier alert, an order updating your courier panel.
From 40,000 Tk
The paper requisition walked desk to desk for signature, replaced with a visible multi-step approval — who signed, when, and what is still waiting.
From 70,000 Tk
A full process taken end to end — requisition through purchase through payment — mapped first, then rebuilt as one connected flow instead of three disconnected steps.
From 1,20,000 Tk
We only propose what we can justify. Every scope comes with a stated saving — hours of manual entry removed, errors avoided — so you can check afterward whether it actually paid off. If the numbers do not work at your volume, we will say so instead of selling you the project.
Before you buy
Before you pay for AI, ask whether the process actually needs judgment. Most of what slows a Bangladeshi business down is not a hard problem for software — it is two systems, or two people, that were never connected. These are the realities that decide whether automation actually sticks.
A sale should post to the ledger. Low stock should alert the supplier. An approved requisition should generate a payment voucher. These are if-this-then-that rules, not decisions — and rule-based automation is cheaper, faster to build, and does not depend on a model provider's uptime or pricing. We reach for AI only where the input is genuinely unstructured: a free-text customer message, a scanned document, a judgment call.
The most common reason automation fails here is not technical. It is the person whose job is the manual process — reconciling receipts, chasing signatures, re-typing orders — quietly not using the new system, because faster for the business can feel like a threat to them. We ask who gains and who loses before we build, and design the rollout around that, not just the software.
Requisition forms walked desk to desk for signature are still normal here, and they are one of the highest-ROI things to digitise: a multi-step approval with visible status, automatic reminders, and a record of who signed what, when. It rarely needs anything exotic — it needs someone to actually map the current paper trail first.
If nobody agrees on the actual approval steps, or the "process" is really three different people doing it three different ways, automating it just picks one version and breaks the other two. We map the real process — not the one written in a manual nobody follows — before building anything.
The automations that get funded a second time are the ones where we can say, in hours or taka, what they saved. "Removes six hours a week of manual entry" survives budget scrutiny. "Modernises our workflow" does not. We scope every project against a number we can check afterward.
Automation almost never means ripping out what you have. It means your POS talking to your accounts, your inventory talking to your supplier alerts, your approval system talking to your payment records. The value is in the connections, which is why this is usually cheaper than it sounds — you are wiring existing systems, not building new ones.
How we work
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
Often no, and that is usually good news for your budget. Most of what businesses call "automation" is deterministic — a sale in the POS should create a ledger entry, stock below a threshold should alert the supplier, an approved requisition should generate a payment voucher. None of that needs a language model or judgment; it needs two systems wired together with clear rules. That is cheaper and more reliable than AI. We only reach for AI automation when the input is unstructured — a customer message, a handwritten note, a decision that needs interpreting.
A single integration — like POS sales posting automatically into accounts, or low stock triggering a supplier alert — typically starts around 40,000 tk. A multi-step approval workflow, replacing a paper requisition-and-sign-off chain, starts around 70,000 tk. Digitising a full process end to end, such as requisition through purchase through payment, starts around 1,20,000 tk and is scoped after we map the current process.
Then process automation is not the right first project — you need the underlying system first (POS, inventory, or accounting), and automation is what you add once that exists. We will tell you if this is where you actually are, because wiring "automation" on top of a paper process just produces an expensive paper process.
This is the real reason process automation projects fail in Bangladesh, and it has nothing to do with the software. If a change makes someone's job harder or replaces work they see as job security, they will quietly route around it. We ask who benefits and who loses from a given automation before building it, and we design the rollout — not just the system — around that answer.
ERP is the system of record — where your data actually lives. Process automation is the wiring between systems, or between steps within one system, so people stop re-entering the same information twice. If you already have our ERP, POS, or accounting software, automation is usually a smaller add-on project. If you do not, we would likely scope the underlying system first.
We only propose automation we can justify in hours saved or errors avoided, stated upfront — for example, "this removes roughly six hours a week of manual data entry." If the maths does not work at your volume, we will say so rather than sell you a project that will not pay for itself.
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.
Process automation usually pairs with one of these.
For the parts that genuinely need judgment or language understanding, not just rules.
View serviceIf the system of record does not exist yet, this is usually the honest first step.
View serviceWhen the process starts with an order arriving as a chat message.
View serviceTell us the one piece of data your team enters twice into two different systems. We will tell you honestly whether wiring it up is worth it, and what it would cost.
START A CONVERSATION