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AI Automation Agency BD

AI agent development AI Workflow Automation Services in bangladesh

AI services · Data engineering · IT services

Frontier AI is the brain. We build the hands and legs.

Enterprise-grade AI agents and company knowledge assistants, run with approvals and action logs

AI Automation Agency BD is an AI, data and IT services company based in Bangladesh. We build assistants that answer from your own documents, and agents that act through approved tools, built so a person approves every action that carries risk.

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Agent runIllustrative exampleDone, logged
  1. REQUEST · STAFF MEMBER
    Our packaging supply agreement renews soon. Remind the account owner.
  2. THE BRAIN · PLAN
    1 Find the renewal clause · 2 Look up the account owner · 3 Draft a reminder, then wait for approval
  3. THE HANDS · APPROVED TOOLS
    Documents: renewal clause [1]Contract register: owner [2]Email: reminder drafted
  4. APPROVAL NEEDED
    A contracts manager must approve this reminder. Nothing is sent before that.
    EditApprove
  5. ACTION LOG
    Approved by the contracts manager. Reminder sent. Request, sources, draft and approval recorded.

Illustrative example, not a live system: an agent finds the facts, drafts the action, stops for a person's approval, then logs what happened.

  • Built for approval before risky actions
  • Built with an action log
  • Designed to keep your data in your accounts

THREE AREAS OF WORK

AI services, data engineering and IT services, built to work together

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

// the full stack, from your data to your people

The model you choose is the brain. We connect it to the tools your team already uses.

The model reasons and drafts. The connections we build let it read your documents, update your systems and prepare messages, with a person approving each step that carries risk.

  1. 01Your data and accountsthe ground

    Each system is designed so that your data and credentials stay in accounts your company owns, with access limited to what each task needs.

  2. 02Frontier AI modelsthe brain

    The model you choose reasons and drafts. We connect it to your tools and your approvals.

  3. 03What we buildagents & workflows

    Assistants that answer from your own documents, agents that act through approved tools, and the workflows and integrations around them.

  4. 04Your business toolsthe hands

    The connections we build let the model read documents, update systems and prepare messages in the tools your team already uses.

  5. 05Your peopleapprove

    A named person approves each action that carries risk, such as sending, paying, deleting or publishing.

SEE IT WORK

Where the hands work: one piece of work, from trigger to log

Four examples, each one piece of work from trigger to log. The violet step is where a person approves.

01 · KNOWLEDGE ASSISTANTIllustrative example

Ask your company’s own documents, and see the sources behind every answer

  1. 01QuestionA staff member asks about a policy in plain words.running…done
  2. 02Access checkOnly documents this person may see are searched.running…done
  3. 03AnswerThe assistant answers and cites each source.running…done
  4. 04ReviewAn unclear answer goes to the document owner.awaiting person…Approved
  5. 05LogQuestion, sources and answer are recorded.running…done
  1. 01QuestionA staff member asks about a policy in plain words.done
  2. 02Access checkOnly documents this person may see are searched.done
  3. 03AnswerThe assistant answers and cites each source.done
  4. 04ReviewAn unclear answer goes to the document owner.Approved
  5. 05LogQuestion, sources and answer are recorded.done
02 · APPROVAL WORKFLOWIllustrative example

A supplier invoice routed for approval

  1. 01TriggerA supplier invoice arrives in a shared inbox.running…done
  2. 02MatchingThe workflow matches it to its purchase order.running…done
  3. 03ExceptionsAn invoice that does not match is flagged.running…done
  4. 04ApprovalA named person approves payment.awaiting person…Approved
  5. 05LogEvery step and approval is recorded.running…done
  1. 01TriggerA supplier invoice arrives in a shared inbox.done
  2. 02MatchingThe workflow matches it to its purchase order.done
  3. 03ExceptionsAn invoice that does not match is flagged.done
  4. 04ApprovalA named person approves payment.Approved
  5. 05LogEvery step and approval is recorded.done
03 · DATA BRIEFIllustrative example

A management brief prepared from business data

  1. 01SourcesSales and stock figures are collected.running…done
  2. 02Data checksMissing and duplicate records are flagged.running…done
  3. 03DraftA brief says what changed and why.running…done
  4. 04ReviewA manager reviews the brief before it is shared.awaiting person…Approved
  5. 05LogSources and checks are recorded.running…done
  1. 01SourcesSales and stock figures are collected.done
  2. 02Data checksMissing and duplicate records are flagged.done
  3. 03DraftA brief says what changed and why.done
  4. 04ReviewA manager reviews the brief before it is shared.Approved
  5. 05LogSources and checks are recorded.done
04 · API INTEGRATIONIllustrative example

A new order passed from one business system to another

  1. 01EventA new order is created in the sales system.running…done
  2. 02ValidationThe order is checked against the agreed format.running…done
  3. 03DeliveryThe order is passed on, with retries.running…done
  4. 04ExceptionA failed delivery goes to a person.awaiting person…Approved
  5. 05LogEach attempt is recorded.running…done
  1. 01EventA new order is created in the sales system.done
  2. 02ValidationThe order is checked against the agreed format.done
  3. 03DeliveryThe order is passed on, with retries.done
  4. 04ExceptionA failed delivery goes to a person.Approved
  5. 05LogEach attempt is recorded.done
1 / 4

The company, its documents and data are invented for this demonstration. No live AI system runs on this page.

HOW AN AGENT WORKS

One request, from the chat window to the action log

The example from the top of the page, opened up: the agent reads, plans, uses approved tools, stops for a person, then records what happened.

Company assistantIllustrative example
Our packaging supply agreement renews soon. Remind the account owner.
I found the renewal clause 1 and the account owner 2, and drafted a reminder. A contracts manager must approve it before anything is sent.
APPROVAL NEEDED
Send the reminder to the account owner?
EditApprove
logged · approved by the contracts manager · reminder sent
agent-run.flowgrapheventsillustrative
RequestA staff member asks in chatnode_01
The brain plansThe model you choose breaks the task into stepsnode_02
tools.bus · approved only
Documents
Contract register
Email draft
A person approvesNothing risky happens before thisnode_04
Action logRequest, sources, draft and approval recordednode_05

CONTROL, NOT AUTONOMY

Built so you stay in control

We design each assistant, agent and workflow around five controls. They settle what the system may do, who must agree first, and how a mistake is undone.

  • Approval before risky actions

    Built so that an action that carries risk, such as sending, paying, deleting or publishing, waits until a named person approves it.

  • An action log

    A record of what the system did, which sources it used and who approved each action.

  • Access limits

    Each assistant and agent reaches only the systems and documents its task needs, through permissions you grant.

  • Data kept in your own accounts

    Each system is designed so that your data and credentials stay in accounts your company owns.

  • Rollback when something goes wrong

    Designed so that a change that causes a problem can be reversed to the last working version.

THE ENGAGEMENT PATH

How does an AI engagement run, from assessment to managed operations?

Four stages: assessment, pilot, production and managed operations. At the end of each one you decide whether to continue or stop, and the first three stages each leave a document with your team. This page quotes no results and no client figures.

  1. STAGE 01
    Assessment
    leaves: Assessment report
  2. STAGE 02
    Pilot
    leaves: Pilot success measure
  3. STAGE 03
    Production
    leaves: Runbook
  4. STAGE 04
    Managed operations
  1. STAGE 01

    Assessment

    You receive
    A view of whether AI suits the process or system you have in mind. The assessment proposal specifies the outputs.
    You provide
    A description of the process, and time with the people who run it.
    You decide
    Whether to continue to a pilot, or stop here.
    Assessment report
    What the assessment examined, what it found and what it recommends next.
  2. STAGE 02

    Pilot

    You receive
    A small build tried on your own cases. The pilot proposal is where a success measure is set out.
    You provide
    Sample cases, access to the systems in scope, and a person who can judge the results.
    You decide
    Whether the pilot met its measure: continue to production, or stop.
    Pilot success measure
    The measure a pilot is judged against, agreed before the pilot starts.
  3. STAGE 03

    Production

    You receive
    The piloted system connected to the systems it needs, with access limits, approvals and action logs in place.
    You provide
    Production access through your own accounts, and the names of the people who approve.
    You decide
    Whether your own team runs the system from here, or it continues into managed operations.
    Runbook
    How the system is run day to day: who approves what, and what to do when something fails.
  4. STAGE 04

    Managed operations

    You receive
    The system kept running alongside your team. What this covers is agreed in the contract.
    You provide
    Feedback from the people who use the system, and decisions on proposed changes.
    You decide
    Whether to continue, change the scope or stop, on the terms the contract sets out.
How we work, stage by stage, sets out each stage in full

Based in Bangladesh

Built in Bangladesh, working with teams worldwide.

QUESTIONS

Questions buyers ask before they start

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.

Give AI its hands. Keep the controls.

Every engagement begins with a paid assessment. Tell us about the process or system you have in mind.

Book an AI assessmentSee how we work