AutoProbaho

Solution · AI for Bangladesh

AI automation in Bangladesh that handles the messy, human parts of your workflow

Ordinary automation moves structured data between systems. The remaining work — reading a customer’s Bengali WhatsApp message, understanding a supplier’s scanned invoice, deciding which team a complaint belongs to — has always needed a person. AutoProbaho adds AI to your automations so those steps run too: models read, classify, extract and draft; your workflows act; your team reviews the exceptions. Built for Bangladeshi language, channels and payment habits.

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Automation stops where unstructured work begins

A Dhaka e-commerce seller receives hundreds of messages a day in mixed Bengali, English and Banglish: “ei product ta ache?”, “order dilam bkash korsi”, screenshots of payment. A distributor’s office gets supplier invoices as photos on WhatsApp. A clinic receives appointment requests by voice note. None of this fits a form field, so people copy it out by hand — slowly, inconsistently and only during office hours.

Generic AI chatbots promise to solve this but usually answer confidently and wrongly, do not know your prices or stock, and cannot take an action in your systems. Useful AI automation is narrower: it does specific jobs, is connected to your data, and hands over to a human when unsure.

Who this is for

  • E-commerce, F-commerce and retail businesses handling high volumes of Bengali and English customer messages
  • Distributors, importers and factories processing supplier documents, invoices and delivery notes
  • Clinics, agencies and service firms with appointment, enquiry and document workflows
  • Companies already using automation that want to cover the remaining manual steps

Current pain points

  • Messages in three scripts

    Bengali, English and Banglish arrive together; keyword rules cannot classify them reliably.

  • Documents as photos

    Invoices, challans and payment screenshots come as images that someone must read and type.

  • Slow first response

    Customers on WhatsApp expect an answer in minutes; the team is busy or offline.

  • Routing by guesswork

    Complaints, orders and questions land in the same inbox and are forwarded by hand.

  • AI experiments that went nowhere

    A chatbot was tried, gave wrong answers about prices or stock, and was switched off.

What AutoProbaho builds

  1. Message understanding

    AI that reads Bengali, English and mixed messages, detects intent (order, question, complaint, payment) and extracts product, quantity and reference details.

  2. Document extraction

    Invoices, challans, bank and bKash screenshots and ID documents read into structured fields, validated against your records.

  3. Assisted replies

    Draft answers grounded in your catalogue, prices, stock and policies — sent automatically for simple cases, reviewed by staff for the rest.

  4. AI agents inside workflows

    Agents that look up an order, check stock, create a ticket or schedule a call-back through your systems, with limits and approval steps.

  5. Human-in-the-loop controls

    Confidence thresholds, review queues, full logs and the ability to switch any AI step off instantly.

Modules & capabilities

  • Inbox triage

    Classifies and routes WhatsApp, Messenger and email messages to the right team or workflow.

  • Order capture from chat

    Turns conversational orders into structured order lines, confirms with the customer, pushes to ERP or sheet.

  • Payment proof reading

    Reads bKash/Nagad/bank screenshots, extracts transaction ID and amount, matches to invoices.

  • Invoice & document OCR

    Supplier invoices and delivery notes into purchase records with line items and totals.

  • Reply drafting

    Grounded answers in Bengali or English about products, availability, delivery and policies.

  • Voice-note transcription

    Bengali and English voice messages transcribed and summarised for the team.

  • Summaries & reports

    Daily digests of complaints, common questions and unresolved threads for managers.

  • Review console

    A queue where staff approve, correct or reject AI outputs — and every correction improves the rules.

Interactive demonstration

Example workflows

WhatsApp order to ERP

  1. 1Customer sends an order in Bengali or Banglish with a bKash screenshot
  2. 2AI extracts items, quantity, address and transaction ID
  3. 3Payment is matched to the amount and confirmed
  4. 4Order is created in the ERP or sheet and a confirmation is sent
  5. 5Unclear messages go to a human review queue

Supplier invoice intake

  1. 1Supplier sends invoice photo on WhatsApp or email
  2. 2AI reads supplier, items, quantities and totals
  3. 3Data is checked against the PO and goods receipt
  4. 4Matched invoices are posted; mismatches flagged
  5. 5Accountant reviews exceptions in one screen

Complaint triage

  1. 1Message is classified as a complaint with product and severity
  2. 2Ticket is created and linked to the customer and order
  3. 3Routed to the right team with an SLA timer
  4. 4AI drafts an acknowledgement in the customer’s language
  5. 5Manager receives a daily summary of open issues

Integrations

  • WhatsApp Business API, Facebook Messenger and email
  • Custom ERP, CRM, Tally and Google Sheets
  • bKash, Nagad, SSLCommerz and bank statements
  • Daraz, Shopify and WooCommerce
  • n8n workflow automation
  • OpenAI, Anthropic, Google and open-source models
  • Speech-to-text services
  • Google Workspace / Microsoft 365

Implementation process

  1. 01

    Use-case audit

    We identify the unstructured steps in your workflows and pick the ones where AI is reliable enough to help.

  2. 02

    Data & guardrails

    Connect catalogue, prices, stock and policies; define confidence thresholds and what always goes to a human.

  3. 03

    Pilot on real traffic

    Run in shadow mode alongside your team, measure accuracy, tune prompts and rules.

  4. 04

    Go-live with review

    AI handles the confident cases; staff review the rest in a queue; every correction is logged.

  5. 05

    Monitor & expand

    Accuracy, cost and volume tracked; new use cases added as trust grows.

Expected business outcomes

  • Faster first response

    Customers get an accurate answer or acknowledgement within minutes, in their language.

  • Less manual reading and typing

    Orders, invoices and payment proofs become structured data without a person copying them.

  • Consistent routing

    Every message reaches the right team with context attached.

  • Control kept by your team

    Thresholds, review queues and logs mean AI assists rather than decides.

Security & ownership

  • Data minimisation

    Only the fields needed are sent to models; personal data is masked where possible; you choose the provider or a self-hosted model.

  • Access & audit

    Every AI decision, prompt and correction is logged; agents act with limited, revocable permissions.

  • Kill switch

    Any AI step can be paused instantly and the workflow falls back to manual handling.

Frequently asked questions

Modern language models handle Bengali, English and mixed text well for classification and extraction. We measure accuracy on your real messages during a pilot before anything goes live, and route low-confidence cases to a person.

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Find the AI step in your workflow

Book a free consultation. We will look at your inbox, documents and workflows and show you exactly where AI delivers the most value in your operation.

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