Automate & add intelligence

AI automation that takes repetitive work off your team's desk

AI is useful in business when it does a defined job reliably: reading an incoming email and drafting the reply, extracting data from an invoice, classifying a WhatsApp enquiry, summarising a week of orders for the owner. AutoProbaho designs and implements AI automation around those jobs — connected to your systems, bounded by rules, reviewed by people where it matters — so the result is fewer manual hours, not another experiment.

Most of the day goes into reading, sorting and re-typing

Look at a typical operations or sales desk and much of the work is text handling: reading customer messages on WhatsApp and Facebook, answering the same twenty questions, opening supplier PDFs and typing figures into Excel, forwarding emails to the right person, assembling a report from three sources every Monday. It is skilled work only in the sense that someone has to know the business — the steps themselves are repetitive.

Generic AI chatbots and copilots do not fix this on their own. They do not know your price list, your ERP or your approval rules, they cannot post an order, and left unbounded they answer confidently and wrongly. The value comes from putting AI inside a controlled workflow: defined inputs, your data, explicit actions and a human checkpoint where the cost of error is high.

Who this is for

  • E-commerce, distribution and service businesses handling high volumes of customer messages and orders
  • Companies receiving invoices, purchase orders, CVs or forms as PDFs and images that are re-typed by hand
  • Owners and managers who want a daily or weekly summary of operations without building it themselves
  • Bangladeshi and international SMEs that want AI applied carefully — with data control and human review — not a black box

Current pain points

  • Customer replies are slow and inconsistent

    Enquiries arrive around the clock; answers depend on who is on shift and what they remember.

  • Documents are read by people, not systems

    Invoices, delivery notes and forms are opened, read and typed into a system one field at a time.

  • Emails pile up unsorted

    Orders, complaints, quotes and spam land in one inbox; routing takes a person and things get missed.

  • Reports are assembled by hand

    Someone exports, pastes and formats numbers every week; the narrative is written from memory.

  • AI pilots that never reach production

    A demo impressed everyone, but there was no integration, no guardrails and no owner.

What AutoProbaho builds

  1. Customer-service automation

    AI that understands WhatsApp, Facebook, email and web-chat enquiries, answers from your approved knowledge and product data, and hands over to a person with full context.

  2. Document and email processing

    Extraction and classification of invoices, POs, delivery notes, forms and emails into structured data that lands in your ERP, CRM or accounting tool — with confidence scores and review queues.

  3. Automated reporting and summaries

    Daily and weekly narratives generated from your live data: sales, stock, overdue receivables, service tickets — sent to WhatsApp, email or a dashboard.

  4. AI-assisted workflows

    Existing n8n or system workflows enriched with AI steps: drafting, translating (Bengali/English/German), categorising, prioritising and validating.

  5. Guardrails and governance

    Prompt and model versioning, evaluation sets built from your real cases, human-in-the-loop thresholds, logging and cost controls.

Modules & capabilities

  • Intake & classification

    Every message, email or file is classified by type, urgency and intent, then routed to the right queue or automation.

  • Knowledge base & retrieval

    Your policies, FAQs, price lists and product data indexed so answers cite your sources, not the internet.

  • Extraction engine

    Structured fields from PDFs, photos and scans — supplier, amount, dates, line items — validated against master data.

  • Reply drafting & sending

    Suggested or automatic replies in the customer's language, using approved templates and tone; escalation rules.

  • Action connectors

    Create orders, tickets and records; update stock; schedule callbacks — through APIs, n8n or direct integrations.

  • Review queues

    Low-confidence items go to a person with the AI's suggestion pre-filled; corrections improve the evaluation set.

  • Reporting generator

    Scheduled summaries and exception alerts written from your data with the numbers attached.

  • Monitoring & cost control

    Accuracy, handling time, escalation rate and token spend tracked per automation, with alerts.

Interactive demonstration

Example workflows

WhatsApp enquiry to order

  1. 1Customer asks price and availability on WhatsApp
  2. 2AI identifies the product, checks live stock and price in the ERP
  3. 3Reply is sent in Bengali or English with options
  4. 4Customer confirms; a draft order is created for a person to approve
  5. 5Confirmation and payment link go out automatically

Supplier invoice to accounts

  1. 1Invoice PDF arrives by email or is photographed on a phone
  2. 2AI extracts supplier, invoice number, lines, VAT and totals
  3. 3Values are matched to the purchase order and goods receipt
  4. 4Mismatches go to a review queue with the differences highlighted
  5. 5Matched invoices are posted to accounting for payment

Monday operations summary

  1. 1Sales, stock, receivables and tickets are pulled from your systems
  2. 2AI writes a short narrative with the key numbers and exceptions
  3. 3Owner receives it on WhatsApp and email at 8:00
  4. 4Follow-up questions can be asked in plain language
  5. 5Exceptions link back to the underlying records

Integrations

  • WhatsApp Business API, Facebook & Instagram Messenger
  • Email (Google Workspace, Microsoft 365)
  • Your ERP, CRM and accounting system
  • n8n workflow automation
  • Document storage (Google Drive, SharePoint, S3)
  • Payment gateways (bKash, Nagad, SSLCommerz, Stripe)
  • Speech-to-text and translation services
  • BI dashboards

Implementation process

  1. 01

    Use-case selection

    We review your message, document and reporting volumes, pick the automations with the clearest payoff and define what 'correct' means for each.

  2. 02

    Data and guardrail design

    Knowledge sources, allowed actions, confidence thresholds, human checkpoints and data-protection boundaries are agreed before building.

  3. 03

    Build and evaluate

    The automation is built against a test set of your real cases; accuracy is measured and tuned before it touches customers.

  4. 04

    Supervised rollout

    Runs in suggest-only mode first, then automates the confident cases while people handle the rest.

  5. 05

    Operate and improve

    Monitoring, monthly review of failures and costs, and expansion to the next use case.

Expected business outcomes

  • Faster, consistent responses

    Customers get accurate answers at any hour; staff handle the conversations that need judgement.

  • Documents become data

    Invoices, orders and forms enter systems without re-typing, with a review trail.

  • Management sees the picture daily

    Summaries arrive without anyone assembling them.

  • Controlled, explainable AI

    Every automated action is logged, bounded and reversible.

Security & ownership

  • Data control

    Model and hosting choices to keep sensitive data in your region; EU-hosted or self-hosted options for German clients; no training on your data by default.

  • Human in the loop

    Confidence thresholds and approval steps for financial, contractual or customer-facing actions.

  • Auditability

    Inputs, prompts, outputs and actions logged per case; retention and deletion rules aligned with GDPR/DSGVO.

Frequently asked questions

We select per use case and per data-protection requirement — hosted models from major providers, EU-hosted options, or open models running in your infrastructure. The architecture keeps the model swappable.

Pick one repetitive task and let us automate it properly

Book a free consultation. We will look at your message, document and reporting volumes and propose the first AI automation with a clear accuracy target and human checkpoints.