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
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.
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.
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.
AI-assisted workflows
Existing n8n or system workflows enriched with AI steps: drafting, translating (Bengali/English/German), categorising, prioritising and validating.
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
- 1Customer asks price and availability on WhatsApp
- 2AI identifies the product, checks live stock and price in the ERP
- 3Reply is sent in Bengali or English with options
- 4Customer confirms; a draft order is created for a person to approve
- 5Confirmation and payment link go out automatically
Supplier invoice to accounts
- 1Invoice PDF arrives by email or is photographed on a phone
- 2AI extracts supplier, invoice number, lines, VAT and totals
- 3Values are matched to the purchase order and goods receipt
- 4Mismatches go to a review queue with the differences highlighted
- 5Matched invoices are posted to accounting for payment
Monday operations summary
- 1Sales, stock, receivables and tickets are pulled from your systems
- 2AI writes a short narrative with the key numbers and exceptions
- 3Owner receives it on WhatsApp and email at 8:00
- 4Follow-up questions can be asked in plain language
- 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
- 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.
- 02
Data and guardrail design
Knowledge sources, allowed actions, confidence thresholds, human checkpoints and data-protection boundaries are agreed before building.
- 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.
- 04
Supervised rollout
Runs in suggest-only mode first, then automates the confident cases while people handle the rest.
- 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.
High enough to post confidently — and we prove it before go-live: accuracy is measured on your own documents, and confidence thresholds route any uncertain field to a person rather than into your accounts. Every correction sharpens the next run.
That is your policy decision; we recommend transparency and configure the disclosure and the handover to a human accordingly.
A first automation — for example email classification or WhatsApp FAQ handling — is typically in supervised production within 4–8 weeks. Document processing with ERP posting takes longer because of matching and review flows.
Running costs are usage-based (model calls, hosting) and we track them per automation. We design for the smallest model that meets the accuracy target and report spend monthly.
Related solutions
Solution · AI for Bangladesh
AI Automation in Bangladesh
AI automation for Bangladeshi businesses: read Bengali and English messages, classify WhatsApp orders, extract invoice data, run AI agents — human in control.
Solution for e-commerce & F-commerce
WhatsApp & Facebook Business Automation
WhatsApp Business API and Facebook/Instagram automation for Bangladeshi e-commerce: capture leads, confirm orders, verify bKash payments and send updates.
Solution for management visibility
Automated Reporting System
Automated reporting for owners and managers: daily sales, stock, production, collections and cash reports by WhatsApp or email on schedule, plus dashboards.
Solution · Automation for Bangladesh
Business Automation in Bangladesh
Business and workflow automation for Bangladeshi companies: approvals, WhatsApp updates, invoices, bKash reconciliation and reports connected with n8n and APIs.
Related services
Automate & add intelligence
AI Agents
AutoProbaho builds AI agents that work inside your systems — answering customers, qualifying leads, booking, checking stock — with clear limits and oversight.
Automate & add intelligence
Business Process Automation
AutoProbaho automates business processes end to end — document intake, data entry, reconciliation and reporting — with rules, review and full traceability.
Automate & add intelligence
Workflow Automation
AutoProbaho designs and runs workflow automation that connects your tools — orders, approvals, notifications and follow-ups move on their own, reliably.
Connect the business
n8n Automation
AutoProbaho designs, builds and hosts n8n workflows that connect your tools and remove repetitive work — self-hosted, unlimited executions, full ownership.
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Case Studies
Illustrative scenario
Online retailer: from inbox orders to an automated order hub
Illustrative scenario: how a Dhaka online retailer selling via website, Facebook and Daraz could automate order intake, courier booking and COD reconciliation.
Illustrative scenario
Clinic: from phone bookings and paper files to one patient workflow
Illustrative scenario: how a Dhaka outpatient clinic could move appointments, records, lab results and billing from phone and paper into one workflow.
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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.

