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AI Automation Agency BD

AI agent development AI Workflow Automation Services in bangladesh

AI Automation Agency BD

Workflow automation
that makes your work more efficient.

Illustrative example. The AI brain plans, the AI agent orchestrates three steps: it reads your documents, uses approved tools, and asks a person to approve. The result: a renewal reminder sent, approved by the contracts manager, every step logged.AI brainTHE MODEL YOU CHOOSEAI agentPLANS AND ACTSYour documentsREADApproved toolsACTPerson approvesAPPROVEResultLOGGED

We build AI agents and company knowledge assistants that save your time by taking repetitive work off your team, while a person approves every step that carries risk.

Make your work efficient

What changes for your team when we automate your work.

Time back.

Repetitive work moves off your team’s desks and onto agents that run it on schedule, in the tools you already use.

Answers with sources.

Ask a question of your own documents and see exactly where each answer came from.

You stay in charge.

Nothing is sent, paid, deleted or published until a named person approves it.

Yours, in writing.

Each stage leaves a document with your team: a verdict, a success measure, a runbook.

Curious how it improves your business efficiency

Pick a service. The window shows what it does, step by step, and the moment you decide.

Custom AI workflow automation for your business. A routine process runs from its trigger to the agreed result, and any step that carries risk waits for your approval.
AI agents that work in your own tools. Agents plan a task, use only the tools you allow, and hand the work to a person when it needs judgement.
A company knowledge assistant that shows its sources. Your team asks in plain words and gets answers from your own documents, each with the page it came from, within the access rules you set.
Several agents, run as one process. Agents, models and systems share one plan and one state, so each step knows what the last one did.
Human approval built into every risky step. Payments, messages to customers and record changes wait for a named person. The decision is logged with who, what and why.
Generative engine optimization for your company. Your company facts are made clear and consistent, so AI answer engines can read and quote them correctly. We make no promise of being recommended.
AI-ready data from the files you already have. Documents and records are collected, cleaned, split into passages and indexed, so AI answers come from current data.
Data analytics that says what changed and why. Your business data becomes short briefs and dashboards, with every metric defined in writing.
Data quality and cleansing you can check. Duplicate, missing and wrong records are found and fixed, and anything uncertain goes to a person.
Custom software and applications for your enterprise. Business software, web and mobile apps, built and tested in stages. Nothing is released until you approve it.
Third-party API integration that keeps running. Your systems are connected with automatic retries and a log of every call, so a failed connection is caught, not lost.
Legacy app modernization, one stage at a time. Old systems are moved in stages, each with a tested way back, so the business keeps running throughout.
Help desk automation with a person on hand. Routine tickets are answered automatically. Anything sensitive or unclear goes straight to a person.
Accounting workflow automation, with review. Bank lines and invoices are matched automatically, and anything that does not match waits for a person. Not tax or VAT filing.
AI model testing on your own cases. A model is tested on real examples for accuracy, bias and cost, before launch and after every change.
An audit of AI-written code. Code written by AI is reviewed for security, quality and maintainability, and each fix is proposed for your team to accept.
An audit trail for everything AI does. Every action is logged with what happened, who approved it and why, so any decision can be checked later.
Overview17 services

Examples are illustrative. What each system does, and who approves what, is agreed in your proposal.

What it costs

Your price, in writing,
before work starts.

Every engagement is priced one stage at a time. You see each fee in a written proposal, and you decide whether to go ahead.

AI Automation Agency BDQuote · stage 01 of 04

Assessment

Priced asA fee for the assessment
Set inThe assessment proposal, before any work starts
You receiveA view of whether AI suits the process or system you have in mind. The assessment proposal specifies the outputs.
You provideA description of the process, and time with the people who run it.
Then you decideWhether to continue to a pilot, or stop here.
Your priceSet in writing, before work starts
AI Automation Agency BDQuote · stage 02 of 04

Pilot

Priced asA fee for one scoped pilot
Set inThe pilot proposal, together with its success measure
You receiveA small build tried on your own cases. The pilot proposal is where a success measure is set out.
You provideSample cases, access to the systems in scope, and a person who can judge the results.
Then you decideWhether the pilot met its measure: continue to production, or stop.
Your priceSet in writing, before work starts
AI Automation Agency BDQuote · stage 03 of 04

Production

Priced asBy what is built: each workflow, agent or connected system
Set inA written proposal, before the build starts
You receiveThe piloted system connected to the systems it needs, with access limits, approvals and action logs in place.
You provideProduction access through your own accounts, and the names of the people who approve.
Then you decideWhether your own team runs the system from here, or it continues into managed operations.
Your priceSet in writing, before work starts
AI Automation Agency BDQuote · stage 04 of 04

Managed operations

Priced asA monthly fee
Set inThe contract, together with what it covers
You receiveThe system kept running alongside your team. What this covers is agreed in the contract.
You provideFeedback from the people who use the system, and decisions on proposed changes.
Then you decideWhether to continue, change the scope or stop, on the terms the contract sets out.
Your priceSet in writing, before work starts

What moves your price

How many systems it touches

Each connected system, such as a CRM, ERP or document store, adds build and testing work.

How ready your data is

Clean, reachable data takes less preparation than files scattered across drives.

How much needs approval

Steps that carry risk need approval points and logs, and each one is built and tested.

How much it handles

The number of workflows or agents in scope, and the volume of work they take on.

Not in our fee

AI model usage and third-party tool subscriptions are billed separately by those providers.

See full pricing ›

What actually happens

Four stages. A decision at the end of each one.

You see the result before you commit to the next step. Nothing moves forward without your say.

01

Assessment.

We study one process with you. You get a written verdict: is AI worth it here, and what would it take.

You decide · Continue to a pilot, or stop.

02

Pilot.

A small working version runs on your real cases, judged against a success measure you agree first.

You decide · Did it meet the measure?

03

Production.

The system goes live in your accounts, with access limits, approvals and logs. You get a runbook.

You decide · Your team runs it, or we do.

04

Managed operations.

We keep it running and improving alongside your team, on the terms the contract sets out.

You decide · Continue, change scope, or stop.

You know what you want. Here is how we deliver it.

You wantWhat we do
You want

Routine work done, on schedule.

What we do

We build agents that run repeat processes on schedule across email, documents, spreadsheets, CRM and team chat.

You want

Fast answers from your own information.

What we do

We build company knowledge assistants that answer from your files, respect each person’s access rights, and cite their sources.

You want

Control over anything that matters.

What we do

Risky actions wait for a named person’s approval. Every step is recorded in an action log you can read.

You want

Data that stays yours.

What we do

Each system runs through accounts your company owns, with access limited to what each task needs.

You want

Data you can rely on.

What we do

We prepare and connect your data so AI and your people can trust what it says.

The value

Your assistant does the work
while you’re busy.

Copying data between systems. Chasing approvals. Searching for the right file. Your AI assistant handles that work, inside the tools you already use. You keep the final say on anything that matters, and get your time back for customers and growth.

No surprises. Everything, up front.

A paid assessment, first.

Every engagement starts with one. If AI will not help your process, the verdict says so.

Stop at any stage.

Each stage ends with your decision to continue or stop.

Nothing risky without approval.

Sending, paying, deleting or publishing waits for a named person.

Your data, your accounts.

Systems run through accounts your company owns, never through ours.

No borrowed results.

We do not quote figures, results or client names we cannot show you.

Quoted, not published.

Each engagement is scoped to your process, so prices are quoted to you directly.

Three areas. One team.

AI does useful work only when the data it reads is sound and the software around it holds up. We work in all three.

Questions, answered.

Something not covered here? Tell us about the process you have in mind.

What does AI Automation Agency BD do?

We build the systems that let AI do work inside a business. That covers company knowledge assistants that answer from your own documents with sources, AI agents and workflows that act through approved tools, and the data engineering and IT services those systems depend on.

How does an AI engagement start?

An AI engagement starts with a paid assessment. You describe the process or system you have in mind through the assessment enquiry form. The assessment proposal then specifies the scope, the outputs and the fee before any work starts. A pilot follows only if you decide to continue once the assessment is complete.

Who controls the data and credentials an AI system uses?

We set up each AI system so that your company controls the data and credentials it uses. The system works through accounts your company owns, and each assistant or agent is given only the access its task needs. The proposal or contract specifies who owns the software and documentation after handover, and where your data is processed.

What does a person still approve when an AI agent does the work?

A person still approves each action that carries risk before it happens. Typical examples are sending a message to a customer, making a payment, changing a record and publishing content. Each system is designed so that the agent prepares the action and then waits for a person to decide. The proposal sets out which actions need approval and who gives it.

What happens if an AI pilot does not meet its success measure?

A pilot that does not meet its success measure is not meant to move to production as it stands. The pilot proposal is where a success measure is set out, together with what follows if the pilot misses it, including what that means for the work and for the fee. The decision to continue or stop at the end of the pilot is yours.

Automate One Business Process And Start Your Plan Today.

Start your processContact