AI Agents

AI Agent Development

An AI agent is software that decides and acts rather than just replying. It reads your systems, works out what to do next, and finishes a task end to end, such as qualifying an inbound lead or pulling data out of an invoice. We build these to production standard for small and mid-sized businesses, usually in four to eight weeks.

In practice

Does this sound familiar?

01

Morning triage

Someone on your team spends two hours every morning reading inbound enquiries, working out which ones are real, and typing them into your CRM.

02

Chatbot that can't act

You installed a chatbot last year. It answers questions and then hands everything to a human anyway, because it can't actually do anything.

03

PDF retyping

Invoices, purchase orders or application forms arrive as PDFs and someone retypes the numbers into another system.

04

Off-the-shelf trap

You looked at an off-the-shelf tool, but it doesn't connect to the software you actually run, and the per-seat pricing gets uncomfortable as you grow.

What we build

What we build

01

Lead handling

Reads an inbound enquiry, works out whether it's serious, enriches it, logs it in your CRM, and drafts a first reply for someone to check and send.

02

Support triage

Reads the ticket, finds the answer in your documentation, resolves what it can, and routes the rest with context attached.

03

Document processing

Invoices, contracts, forms and statements go in, structured data comes out. Low-confidence fields get flagged rather than guessed.

04

Internal operations

Scheduling, reporting, data reconciliation, the small jobs that quietly consume a person's week.

How we work

How we work through it

05 steps
01

Watch the workflow

We observe how the work runs today, including the exceptions, because exceptions are what break agents.

Week 1
02

Tool layer

Connections to your CRM, helpdesk, database, whatever the agent needs to touch.

Weeks 2 to 3
03

Decision layer

The agent logic and guardrails, including what it is not allowed to do on its own.

Weeks 4 to 5
04

Historical testing

Run against real past cases and measure accuracy before anyone relies on it.

Week 6
05

Live pilot

Narrow slice of real work, watched closely, tuned based on what actually happens.

Weeks 7 to 8
Investment

What shapes the cost

Every agent build is different, so we scope and price each one before starting rather than quoting from a list. What moves the number most:

  1. Part 01

    How many systems

    One CRM is straightforward. A CRM, a helpdesk and an internal database from 2014 is not.

  2. Part 02

    How much judgement

    Sorting into five clear categories is easier than deciding whether a contract clause is acceptable.

  3. Part 03

    How messy the inputs are

    Clean structured data is quick. Scanned PDFs in twelve different layouts is a project of its own.

  4. Part 04

    How wrong it can be

    Something that drafts a reply for a human to check needs less work than something that acts on its own.

  5. Part 05

    Fixed before we start

    We'll give you a fixed price before any work starts, and it doesn't move unless you change the scope.

Good fit matters

Who this isn't for

If your workflow is simple and your tools are mainstream, a no-code connector may be the right answer and cheaper. We'll say so. If you only need answers from documents, not actions, you want a knowledge assistant, not an agent.

Options

How the options compare

CriteriaCustom agent (us)Off-the-shelf AI toolNo-code (Zapier, Make, n8n)
Upfront costFixed, scoped before we startSubscription, often per seatLow if your workflow is simple
Monthly cost as you growModel usage and hostingPer-seat fees add upTask-based, can spike
Connects to legacy systemsYesOnly if they support itOnly popular SaaS tools
Handles messy inputsYes, with guardrailsLimitedNo
You own the codeYesNoPartially
Time to first versionFour to eight weeksDays, if it fitsDays, if it fits

Custom agent (us)

Upfront cost

Fixed, scoped before we start

Monthly cost as you grow

Model usage and hosting

Connects to legacy systems

Yes

Handles messy inputs

Yes, with guardrails

You own the code

Yes

Time to first version

Four to eight weeks

Off-the-shelf AI tool

Upfront cost

Subscription, often per seat

Monthly cost as you grow

Per-seat fees add up

Connects to legacy systems

Only if they support it

Handles messy inputs

Limited

You own the code

No

Time to first version

Days, if it fits

No-code (Zapier, Make, n8n)

Upfront cost

Low if your workflow is simple

Monthly cost as you grow

Task-based, can spike

Connects to legacy systems

Only popular SaaS tools

Handles messy inputs

No

You own the code

Partially

Time to first version

Days, if it fits

FAQ

Frequently asked questions

KaziHasan Ali

Founder & Principal Engineer at YeasiTech. Builds production web, mobile and AI products, and writes from work shipped since 2018. More at kazihasanali.com.

Kazi Hasan Ali

Tell us what you're trying to build

Fifteen minutes, no deck. Bring us a workflow that's eating your team's time, or a product idea you want built, and we'll tell you what we think it takes, what it roughly costs, and whether it's worth doing at all. Sometimes the answer is no, and we'll say so.

+91 8910704554(WhatsApp available)
ask@yeasitech.comMon-Fri, 10AM-7PM IST (Overlaps with UK, EU, Middle East & Australia)

Or send us the details