AI agents that handle support, leads and bookings
Hand repetitive front-line work to an AI Employee: one clearly defined job, connected to your systems, with a person approving anything sensitive.
Free call. Honest advice, even if the answer is “you don’t need AI for this”.
- Support
- Sales & leads
- Appointments
- Human approval
The basics
What is an AI agent?
An AI agent is software that takes a request, decides the next step and carries it out inside your business tools. Working towards a goal over several steps like this, rather than answering a single prompt, is what is meant by agentic AI. Agentiq BD, an AI engineering company in Dhaka, Bangladesh, builds AI agents we call AI Employees. Each one is scoped to a single job, such as answering customers, qualifying leads or booking appointments, with only the permissions that job needs.
- Support
- Sales & leads
- Appointments
- Human approval
In plain words
Think of a new team member who does one job only, follows your written rules, logs everything they do and checks with a manager before anything risky. That is an AI Employee. Because it is software it is available at any hour, but it only gets the access its job needs.
Key terms
- AI agent
- Software that takes a request, decides the next step and carries it out inside your business tools.
- Agentic AI
- AI that works towards a goal over several steps, planning, using tools and checking results, instead of answering one prompt.
- AI Employee
- Our name for an AI agent given one defined job, with only the permissions that job needs.
- Human-in-the-loop
- A design where a person reviews or approves the agent’s sensitive actions before they happen.
How it works
From request to result, step by step.
- 01
A request comes in
A customer message, web form, email or call arrives on a channel you already use.
- 02
The agent works out the task
It reads the request, checks your knowledge base and records, and picks the next step within the rules you set.
- 03
It acts inside your tools
It replies, updates the CRM, books the slot or raises a ticket, using only the permissions that job needs.
- 04
People stay in control
Sensitive actions wait for approval, unclear cases go to your team, and every step is logged.
Pick an industry · watch it work
Pharma · WhatsApp
Is batch B-221 in stock?
New request
PipSupport
WorkingAnswers · tracks · resolves
ERP · Inventory
Connected
- 01
A request comes in
- 02
The agent works out the task
- 03
It acts inside your tools
- 04
People stay in control
Sound familiar?
What changes when it is in place.
The everyday problems this service is built to remove, and what the same work looks like afterwards.
Today
With AI Agent Development
Today: Customers wait hours for answers your team has given a hundred times
Afterwards: Routine questions answered straight away, from your own information
Today: New enquiries sit in an inbox until someone is free
Afterwards: Every enquiry gets a reply, qualifying questions and a CRM record
Today: Booking a visit takes several messages to find a time
Afterwards: Customers choose a free slot and get a confirmation
Today: Nobody is sure what was promised to which customer
Afterwards: A record of every conversation and action, ready to review
What you get
What we build for you.
Every project is scoped to your process, so the exact list is agreed in discovery. These are the pieces we typically deliver.
- 01
Support agents that answer from your own knowledge base and hand over to a person when needed
- 02
Lead agents that capture enquiries, ask qualifying questions and update your CRM
- 03
Booking agents that check availability and confirm appointments
- 04
Human-approval steps for anything sensitive, with an audit trail of what the agent did
- 05
Connections to the channels and systems you already use: website, WhatsApp, email, CRM, calendar
Included in every build
Scoped permissions
Each part of the system gets only the access it needs.
Testing for failure cases
We test what happens when inputs are wrong, missing or unexpected.
Monitoring
You can see that it is running, and we are alerted when it is not.
Documentation & handover
Written down so your team understands and can maintain it.
Support after launch
The support plan is agreed with you before we start.
Use cases
Where it fits in.
Example scenarios to show how this works in practice. Yours will be shaped around your own process.
Retail & e-commerce
ExampleOrder and delivery questions
A support agent checks order status in your system and answers on WhatsApp, passing refund requests to a person for approval.
Real estate
ExampleQualifying property enquiries
A lead agent asks about budget, area and timing, scores the enquiry and assigns it to the right person in the CRM.
Clinics & services
ExampleAppointment requests
A booking agent offers open slots, confirms the visit and sends a reminder before the appointment.
Is it right for you?
An honest fit check.
We would rather tell you now than sell you something you do not need.
A good fit for
- Teams answering the same customer questions every day
- Businesses losing leads because enquiries are answered late
- Service businesses that run on appointments and follow-ups
Probably not yet if
- Nobody can describe the rules of the job yet, because it changes every time
- You get a handful of requests a week that one person handles easily
- The job needs unrestricted access to sensitive systems with no room for a human check
Not sure which side you are on? That is exactly what the discovery call is for.
Talk it through with the engineer who would build it.
Tell us how the work runs in your business today, and we will tell you what is worth doing first.
How we work with you
Three steps, and you approve the plan first.
01Discovery
We listen first.
A conversation about the problem and the workflow behind it. We ask questions, look at how you work today, and tell you honestly whether AI, automation or plain software is the right fit.
A clear view of what is worth building.
02Plan
We agree the plan.
We propose the architecture, the integrations and the risks, often starting with a working prototype of the core workflow. You see a clear estimate before anything is built.
A scoped plan and estimate you have approved.
03Build & support
We build, we stay.
The system is built and tested for accuracy, permissions and failure cases, then deployed with access control and monitoring. Support after launch is agreed with you up front.
A system in daily use, with support in place.
FAQ
Common questions
Have a question about AI agent development that is not here?
Ask us on WhatsAppWhat is an AI Employee?
An AI Employee is an AI agent given one defined job, such as support, lead handling or bookings. It works inside your systems with limited permissions, asks for human approval on sensitive actions, and keeps a record of what it did.
What is agentic AI?
Agentic AI is AI that works towards a goal over several steps. It plans what to do, uses tools such as your CRM or calendar, checks the result and decides what comes next, instead of only replying to one prompt. AI agents are how agentic AI is put to work. In a business we keep them tightly scoped: one job, limited permissions and human approval for sensitive actions.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions in a conversation. An AI agent can also take actions: look up an order, update a record, book a slot or raise a ticket. Many projects use both, with a chat window in front and an agent doing the work behind it.
What are AI agents used for in business?
Common uses are customer support, lead qualification, appointment booking, document processing and internal requests. A good first agent usually takes on a repetitive task with clear rules that your team handles many times a day.
Will an AI agent replace my team?
The aim is to take repetitive first-line work off your team, not to remove people. Agents hand over to a person whenever a case needs judgment, and you decide where that line sits.
Can the agent work in Bangla and English?
Language support is confirmed during discovery for your channel and use case. Tell us the languages your customers use and we will say honestly what works well today.
How do pricing and project timelines work?
Each package lists a starting price and a typical timeline, for example AI & Workflow Automation from $500 in 1–4 weeks. The exact price depends on integrations and complexity, so after a discovery conversation we send a fixed scope and quote for you to approve before work starts. Not sure where to begin? The 48-Hour AI Business Audit is free.
Do you provide ongoing maintenance?
Yes. Support and improvement after go-live are part of how we work, and the scope is agreed with you as part of the project: documentation, training, monitoring and a support plan.
Next step
Ready to talk about AI agent development?
Book a free discovery call. We will look at how the work runs today and tell you honestly what is worth building first.
Prefer a fixed scope and price? See 48-Hour AI Business Audit (100% free) or See Custom Software & SaaS MVP ($1,500–$8,000+)
Not sure where to start? Ask for an AI Business Audit or email sales@agentiqbd.com