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.
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.
Someone on your team spends two hours every morning reading inbound enquiries, working out which ones are real, and typing them into your CRM.
You installed a chatbot last year. It answers questions and then hands everything to a human anyway, because it can't actually do anything.
Invoices, purchase orders or application forms arrive as PDFs and someone retypes the numbers into another system.
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.
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.
Reads the ticket, finds the answer in your documentation, resolves what it can, and routes the rest with context attached.
Invoices, contracts, forms and statements go in, structured data comes out. Low-confidence fields get flagged rather than guessed.
Scheduling, reporting, data reconciliation, the small jobs that quietly consume a person's week.
We observe how the work runs today, including the exceptions, because exceptions are what break agents.
Week 1Connections to your CRM, helpdesk, database, whatever the agent needs to touch.
Weeks 2 to 3The agent logic and guardrails, including what it is not allowed to do on its own.
Weeks 4 to 5Run against real past cases and measure accuracy before anyone relies on it.
Week 6Narrow slice of real work, watched closely, tuned based on what actually happens.
Weeks 7 to 8Every agent build is different, so we scope and price each one before starting rather than quoting from a list. What moves the number most:
One CRM is straightforward. A CRM, a helpdesk and an internal database from 2014 is not.
Sorting into five clear categories is easier than deciding whether a contract clause is acceptable.
Clean structured data is quick. Scanned PDFs in twelve different layouts is a project of its own.
Something that drafts a reply for a human to check needs less work than something that acts on its own.
We'll give you a fixed price before any work starts, and it doesn't move unless you change the scope.
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.
| Criteria | Custom agent (us) | Off-the-shelf AI tool | No-code (Zapier, Make, n8n) |
|---|---|---|---|
| Upfront cost | Fixed, scoped before we start | Subscription, often per seat | Low if your workflow is simple |
| Monthly cost as you grow | Model usage and hosting | Per-seat fees add up | Task-based, can spike |
| Connects to legacy systems | Yes | Only if they support it | Only popular SaaS tools |
| Handles messy inputs | Yes, with guardrails | Limited | No |
| You own the code | Yes | No | Partially |
| Time to first version | Four to eight weeks | Days, if it fits | Days, if it fits |
Fixed, scoped before we start
Model usage and hosting
Yes
Yes, with guardrails
Yes
Four to eight weeks
Subscription, often per seat
Per-seat fees add up
Only if they support it
Limited
No
Days, if it fits
Low if your workflow is simple
Task-based, can spike
Only popular SaaS tools
No
Partially
Days, if it fits
Founder & Principal Engineer at YeasiTech. Builds production web, mobile and AI products, and writes from work shipped since 2018. More at kazihasanali.com.

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.