AI Agents That Do the Work, Not JustAnswer Questions
An assistant that checks stock, drafts the quote, updates your ERP and tells your team what it did — instead of handing every task back to a person.
- Acts on your systems
- Full audit trail
- Human approval gates
- Live in 4–8 weeks
Completes multi-step tasks
Reads the request, checks the data, takes the action, reports back.
Works inside your tools
ERP, CRM, spreadsheets, email and your own database.
Approval before it acts
You choose which actions run automatically and which wait for a person.
Every action logged
A readable record of what it did, when, and on whose instruction.
What is an AI agent?
An AI agent is a software assistant that carries out multi-step tasks on its own rather than only replying with text. Given a goal — prepare this quotation, reconcile these invoices, update this record — it decides the steps, uses the systems it has been connected to, and reports what it did. The difference from a chatbot is that an agent has permission to take action, which is why access limits, approval gates and an audit log matter as much as the model behind it.
An assistant with hands, not just a mouth
The hard part of an agent is never the conversation. It is deciding what it may touch, what it must ask about first, and proving afterwards what it did.
- Plans and executes multi-step work
- Give it a goal and it works out the sequence — look up the customer, check credit terms, price the order, generate the document, file it in the right place. It reports each step rather than producing a black-box result.
- Connected to real systems
- Reads and writes to your ERP, CRM, database, email and spreadsheets through proper integrations, not screen-scraping.
- Permissions and approval gates
- Low-risk actions run on their own; anything financial or customer-facing waits for a named person to approve.
- Complete audit trail
- Every action, input and decision recorded in plain language, so a manager can review a week's work in minutes.
- Escalates when unsure
- When confidence is low or data is missing it stops and asks, instead of guessing and creating work to undo.
What changes after launch
- ↓
- Data stops being copied by hand between email, spreadsheet and system.
- 24/7
- Routine tasks clear overnight instead of queueing until morning.
- 1×
- The same steps followed every time, regardless of who is on shift.
- ✓
- Managers can see exactly what was done without asking anyone.
Less manual re-keying
Work continues after hours
One consistent process
Reviewable by design
From a manual process to a working agent
We start with one task that costs you real hours, prove it, then widen the scope.
Swipe to see all 5 steps →
Common ways businesses use it
Quotation and order preparation
Pulls pricing, checks stock and credit terms, and produces a draft quote for approval.
Invoice and payment follow-up
Tracks what is overdue, drafts the reminder, and logs the response against the account.
Data entry between systems
Moves order, customer and inventory data between tools that were never designed to talk.
Internal request handling
Takes staff requests for leave, IT access or purchase approval through the whole workflow.
- Manufacturing
- Wholesale & Distribution
- E-commerce & Retail
- Financial Services
- Logistics & Delivery
- Professional Services
- Healthcare & Clinics
- Education & Training
See what the agent did, and why
Overview — last 7 days
Live268
Runs this week
94%
Completed unaided
26
Held for approval
Mon
Tue
Wed
Thu
Fri
Sat
Sun
Recent runs
Quotation
CompletedMeghna Traders · 400 units
Invoice
CompletedOverdue follow-up · 12 accounts
Purchase
Awaiting Tanvir৳6.2L order
Each task shown as a run — the goal, the steps taken, the systems touched and where a human approved. Sample data shown.
Questions, answered
01What is the difference between an AI agent and a chatbot?
A chatbot replies with information. An agent takes action — it can update a record, generate a document or trigger a process in another system. That is also why an agent needs permission rules and an audit log, which a chatbot does not.
02How much does a custom AI agent cost in Bangladesh?
It depends almost entirely on how many systems it has to touch. An agent working inside one tool costs considerably less than one coordinating an ERP, a CRM and a payment gateway. We give an itemised quote after mapping the process with you.
03How long does it take to build?
Four to eight weeks for a first agent covering one well-defined process. Additional tasks on the same foundation are much faster, because the integrations and permission model already exist.
04Can it make a mistake that costs us money?
That is exactly what the approval gates are for. Anything financial, contractual or customer-facing can be set to require a named person to approve before it executes. You decide where that line sits, and it can be moved as trust builds.
05Will it work with our existing ERP or accounting software?
In most cases yes. We integrate through APIs where they exist and through the database or file exchange where they do not. We confirm this during discovery before you commit to anything.
06Is our business data kept private?
Yes. Your data stays in your own systems or a private, access-controlled environment. It is never used to train shared or public models, and never shared with other clients.
07What happens if the agent gets something wrong?
Every action is logged and reversible where the underlying system allows it. When confidence is low the agent stops and asks rather than proceeding, and we review the log with you during the first weeks to tune those thresholds.
Related services
- AI Workflow AutomationAutomate the process the agent works inside.
- AI Chatbot & Customer SupportAnswer customer questions 24/7 across channels.
- AI Knowledge Base & RAGGive the agent accurate answers from your documents.
- AI Document IntelligenceRead invoices and forms without manual entry.
- Private & Local AI DeploymentRun it entirely inside your own infrastructure.
- ERP & Business Management SoftwareThe system most agents are built to work inside.
Find the task worth handing to an agent
A short call, a look at where your team loses hours to repetitive work, and an honest answer on whether an agent is the right fix.