AutoProbaho

Automate & add intelligence

AI agents that do real work inside your business systems

An AI agent is more than a chatbot: it can hold a conversation, look things up in your ERP or CRM, decide what to do next within rules you set, take an action through an API, and hand over to a person when the situation calls for it. AutoProbaho designs and builds AI agents for customer service, sales support and internal operations — connected to your data, equipped with specific tools, tested on your real cases and supervised in production.

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Customers and staff wait on people for answers systems already have

Where is my order? Is this item in stock in the Uttara branch? Can I get a quote for 500 units? Can I move my appointment to Thursday? What is my leave balance? These are questions the business can answer instantly — the data exists in the ERP, CRM or portal — but they wait for a person to read the message, open the system, find the answer and reply. Outside office hours they wait until morning.

First-generation chatbots answered from scripts and frustrated everyone the moment a question fell outside the script. General-purpose AI assistants can talk fluently but do not know your data and cannot act. The step change is an agent that combines both: language understanding, access to your systems through defined tools, explicit rules about what it may and may not do, and an escalation path to a human — all logged.

Who this is for

  • E-commerce, retail and distribution businesses with high message volumes on WhatsApp, Facebook and web chat
  • Clinics, restaurants, service providers and agencies handling bookings, reschedules and status enquiries
  • Sales teams that want leads qualified and quotes prepared before a person picks up
  • Operations and HR teams that field repetitive internal questions and requests

Current pain points

  • Response times depend on staffing

    Evenings, weekends and peak hours mean customers wait; sales are lost to whoever answers first.

  • Chatbots that cannot help

    Scripted bots loop, misunderstand Bengali or mixed-language messages and cannot look anything up.

  • Sales reps spend time on unqualified enquiries

    Price shoppers and duplicate questions consume the hours meant for real prospects.

  • Internal questions interrupt managers

    The same status, policy and balance questions arrive daily and pull people out of their work.

  • AI experiments without control

    A prototype talks to customers with no limits, no logs and no way to see what it promised.

What AutoProbaho builds

  1. Customer-service agents

    Agents on WhatsApp, Messenger, web chat and email that identify the customer, answer from your knowledge base, check orders and stock, create tickets and hand over with full context.

  2. Sales and lead-qualification agents

    Agents that greet enquiries, ask the qualifying questions, quote from your price list within limits, book calls and create leads in the CRM for a person to close.

  3. Internal operations agents

    Assistants for staff that answer policy questions, report leave balances, look up order or shipment status, and draft requests into the portal or ERP.

  4. Tool and system connectors

    Well-defined tools for the agent — get order, check stock, create ticket, book slot, send template — built on your APIs with permissions and rate limits.

  5. Supervision layer

    Conversation logs, confidence thresholds, escalation rules, evaluation sets from real conversations, and dashboards for the people responsible.

Modules & capabilities

  • Channel adapters

    WhatsApp Business API, Facebook and Instagram Messenger, web chat widget, email and voice-to-text intake.

  • Identity & context

    Customer or employee recognition, conversation memory, language detection (Bengali, English, German, mixed).

  • Knowledge & policies

    Indexed FAQs, product data, price lists and policies with source citation; versioned content you control.

  • Tools & actions

    Read and write operations on ERP, CRM, booking and ticketing systems through scoped APIs.

  • Guardrails

    Allowed topics and actions, spending and discount limits, refusal rules, disclosure of AI, escalation triggers.

  • Human handover

    Seamless transfer to an agent inbox with summary and history; the person can take over or return the conversation.

  • Evaluation & testing

    Test suites built from real conversations, regression checks on every change, red-team prompts for safety.

  • Analytics

    Resolution rate, handover rate, topics, sentiment, response time and cost per conversation.

Interactive demonstration

Example workflows

Order status and change on WhatsApp

  1. 1Customer asks in Bengali where their order is
  2. 2Agent identifies the customer by phone number and fetches the order from the ERP
  3. 3Status and expected delivery are replied with the courier link
  4. 4Customer asks to change the address; agent checks if the order is still editable
  5. 5If allowed, address is updated and confirmed; otherwise a person is looped in with context

Lead qualification to booked call

  1. 1Enquiry arrives from a Facebook ad or the website
  2. 2Agent asks about product, quantity, location and timeline
  3. 3A lead is created in the CRM with the answers and a score
  4. 4Qualified leads are offered a call slot from the rep's calendar
  5. 5Rep receives the summary and joins the conversation prepared

Internal HR assistant

  1. 1Employee asks the assistant about remaining leave
  2. 2Agent verifies identity and reads the balance from the portal
  3. 3Employee asks to apply for two days next week
  4. 4Agent drafts the leave request and submits it for approval
  5. 5Supervisor is notified; the employee gets confirmation when approved

Integrations

  • WhatsApp Business API, Facebook & Instagram Messenger, web chat
  • Your ERP, CRM, booking, ticketing and portal systems
  • Email and calendars (Google Workspace, Microsoft 365)
  • Payment links (bKash, Nagad, SSLCommerz, Stripe)
  • Courier and delivery tracking APIs
  • n8n workflow automation
  • Speech-to-text and translation services
  • BI dashboards and agent-inbox tools

Implementation process

  1. 01

    Scope and guardrails

    We define what the agent handles, what it must never do, which systems it may touch and when it hands over — in writing, agreed with you.

  2. 02

    Knowledge and tools

    Your content is prepared and indexed; the tools the agent needs are built on your APIs with the right permissions.

  3. 03

    Build and evaluate

    The agent is developed and tested against real past conversations and adversarial cases until it meets the agreed quality bar.

  4. 04

    Supervised launch

    Live on a limited channel or segment with people reviewing conversations; thresholds tuned; scope widened step by step.

  5. 05

    Operate and improve

    Weekly review of handovers and failures, content updates, new tools as needs emerge, monthly cost and quality reporting.

Expected business outcomes

  • Answers at any hour

    Customers and staff get correct, immediate responses from your own data.

  • People handle what needs people

    Reps and support staff spend their time on complex cases and real prospects.

  • Consistent, on-brand conversations

    Tone, language and policies are applied the same way every time.

  • Every action accountable

    Logged, bounded, reversible — with a person one step away.

Security & ownership

  • Least-privilege tools

    The agent can only call the specific operations you allow, with your identity checks and limits enforced server-side.

  • Data protection

    Conversations and personal data stored in your environment; regional or self-hosted models available; GDPR/DSGVO-compliant handling for German clients.

  • Safety and oversight

    Prompt-injection defences, refusal rules, full transcripts, human review queues and kill-switch per channel.

Frequently asked questions

A chatbot follows a script. An agent understands free text, looks things up in your systems through tools, decides the next step within your rules and can take actions — then escalates to a person when needed. It is closer to a trained junior colleague than a menu.

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Give your customers and team an assistant that actually acts

Book a free consultation. We will identify the conversations worth automating first, define the guardrails together and outline an agent that fits your systems.

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