You are not searching for a definition of AI agents. You are searching because something in your business is costing you hours every week and you want to know whether a real company can fix it, how long it takes, and what the engagement actually looks like.
This article answers that. It covers the delivery tier specifically: what happens from the first call to a working agent in production. If you want the broader picture of how AI engagements are scoped and priced, the AI Consulting Services overview covers that in full. Come back here for the build detail.
Who This Is For
This article is written for an operations director or founder at a company with 20 to 200 employees. You have at least one process that your team repeats manually every single day: order entry, lead follow up, document handling, scheduling, internal Q and A. You have already accepted that the status quo is expensive. You have a budget and the authority to approve a project.
This is not for someone doing research for a deck. It is not for companies that want to run a six month discovery before touching anything. And it is not for anyone looking for the cheapest possible tool to plug in themselves.
If you are a startup building a product rather than fixing an internal process, the work looks different: our MVP and product development path is a better starting point.
What an AI Agent Development Company Actually Does
An AI agent is not a chatbot with a script. It is a system that takes a defined input, runs a decision loop, and produces a defined output without a human in the middle. An order comes in on WhatsApp. The agent reads it, matches it against the product catalogue, resolves any ambiguity with the customer directly, and files the finished order in the ERP. Nobody retypes anything.
That is a real example. AlbTech built and deployed exactly that system for a pharmaceutical manufacturer. It removed thirty hours of manual order entry every week and handles the work that four people used to share.
The point is not the WhatsApp angle. The point is the pattern: one bottleneck, one agent, one measurable outcome. That is what a build engagement starts with every time.
If you have a bottleneck that costs your team real hours every week, book a free system review now. We will tell you in the first call whether an agent can fix it. Message DEMO to get started.
The Build: Week by Week
Here is what a standard agent build looks like from first contact to production.
Week 1: Scoping
The first session is a working call, not a sales call. We map the exact process: where the input comes from, what decisions get made on it, where it goes when it is done, and what breaks when a human gets it wrong. We agree the success metric before anything is built. That metric is the only thing that matters at the end.
By the end of week one you have a one page scope document: what the agent does, what it does not do, what data it needs access to, and how we measure whether it works.
Weeks 2 and 3: Build and Integration
We build against the scope. No surprises. The agent connects to the systems you already use: your ERP, your CRM, your WhatsApp Business account, your email inbox, whatever the process touches. We do not ask you to change your stack.
You will see a working version by the end of week two in most cases. Complexity varies: an agent that reads and routes emails is faster to build than one that integrates with a custom ERP. We tell you which category your build falls into during scoping, not after.
Week 4: Testing and Handover
We run the agent on real inputs from your business before it goes live. You and your team test it. We fix what does not match the scope. Then it goes into production.
Handover includes documentation and a short training session so your team knows what the agent handles, what it escalates, and how to flag anything unusual. You are not dependent on us to keep it running.
After Go Live
Most clients extend after the first agent is running. Not because we push for it, but because the same pattern applies to the next bottleneck. We have turned down expansions that did not make sense. We will tell you plainly if the next thing you want to build is not worth building yet.
Comparison: Build Engagement vs Retainer vs DIY Tool
| AlbTech Build Engagement | Monthly AI Retainer | DIY Tool (Make, Zapier) | |
|---|---|---|---|
| Fits your exact process | Yes | Sometimes | Rarely |
| Integrates with existing systems | Yes | Depends | Limited |
| Someone accountable for results | Yes | Sometimes | No |
| Time to first working version | 2 to 4 weeks | 1 to 3 months | Days to never |
| Requires your team's time | Low | Medium | High |
| Best for | One clear bottleneck | Ongoing AI ops | Simple automations |
The Objection Worth Naming
The most common hesitation from US and UK buyers at this stage is this: will an agency based in Tirana understand our market, our systems, and our customers well enough to build something that actually works in production?
Fair question. The answer is in the methodology, not the geography. We start with your data, your stack, and your workflow. The agent runs in your environment. Every engagement produces a documented scope before a line is written, so you can read exactly what is being built and push back before it is built. Over 200 businesses served across Albania, Italy and the EU. The work is verifiable and the scope process makes it legible before you commit.
If your ERP or CRM is unusual, we will tell you in week one whether we can integrate it cleanly. We do not build on assumptions.
What Happens When You Reach Out
You message DEMO or fill in the contact form. Within one business day someone from the team responds to set up a thirty minute system review call. On that call we map your biggest manual bottleneck, tell you whether an AI agent is the right tool for it, and give you a rough scope estimate. No deck, no proposal theater.
If it is a fit, we send the one page scope document within three business days. If it is not a fit, we tell you that too.
For a more detailed look at how we price and structure engagements before you get to a build, the AI Consulting Services overview is the right next read. You can also compare how we work against other AI consulting firms and what to look for in an AI consulting company before making a decision.
Message DEMO to book your free system review.
