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AIGENT

Software where people
and AI agents work together

From web and mobile to AI agents. We design, build, and run the software companies depend on.

Quote requestagent

Draft a renewal quote for Client A from the March order data.

  1. Understand request

    Client, period, and output format confirmed

  2. Fetch data

    1,284 March orders aggregated from ERP

  3. Draft quote

    Price list v4 applied, discount terms included

  4. Request review

    Sent after owner approval

Renewal quote for Client A

Term
Apr 2026 – Mar 2027
Volume
1,284 orders (March)
Pricing
Price list v4
Discount
8% annual prepay
Total
$36,400

Waiting for owner approvalApproved · sent

What we build

From prototypes that test an idea to systems your team uses every day, built precisely and only as much as needed.

Recent projects

Work we wrapped up recently. See more case studies in our portfolio.

All projects

AI agents that work like employees

We build agents that take on a whole role in your organization. They receive work, move across your systems to handle it, and report back. People review and decide.

Roles we start with

  • Quotes and proposals

    Drafts from order history and price lists, sent after the owner approves.

  • Support triage

    Sorts tickets by channel, escalates delays, and writes the weekly report.

  • Expense processing

    Reads receipts, fills the ledger, and flags only what breaks policy.

  • First-pass hiring review

    Screens applications against the job requirements and schedules interviews.

  • Contract and document review

    Points out deviations from standard clauses and drafts review notes.

  • Inventory and purchasing

    Watches stock thresholds, drafts purchase orders, and waits for approval.

Agents for individuals

An assistant is not just for executives

We build an agent for one person, one that knows your calendar, email, notes, and the tools you use every day. It works the way you work, and your data stays in your own accounts.

Ask about a personal agent
  • Calendar and email

    Sorts your inbox, drafts replies, and schedules requests against your calendar.

  • Memory and recall

    Keeps meeting notes, documents, and conversations, and brings them back when you need them.

  • Recurring work

    Runs the weekly report, the expense sheet, and the research you used to do by hand, and shows you only the result.

  • Your way

    Learns your tone, priorities, and judgment, and acts the way you would. When unsure, it asks.

About AIGENT

We started by building software. On the experience of shipping web, mobile, and business systems, we now add AI agents, AX/DX, and technology consulting. The scope has grown. The purpose has not: making work flow better.

  • Start small, validate fast

    We build a small working result before a big plan. Real usage decides the direction.

  • Responsible through operations

    Delivery is not the end. We keep deployed software stable and improving.

  • Transparent communication

    Progress, cost, and risk are shared openly. The harder the conversation, the sooner we start it.

Frequently asked questions

See all questions

What first-time inquirers ask most often.

What does AIGENT do?

We build software. Web services, mobile apps, and business systems, from design through operation, and on top of them, AI agents. By AI agent we do not mean a chatbot; we mean software that takes on a role in your organization, such as writing quotes, triaging support tickets, or processing expenses.

We also help set direction without building. AX/DX transformation assesses which processes to automate first and produces a roadmap, and technology consulting advises on technology choices and team structure.

The four services and their deliverables are in the Services section, and the things we have built are in our Work.

How does a project run?

Usually in four stages.

  1. Listening (1–2 weeks): we see how you work today and where time leaks, on site. We look at your existing data and systems too. This stage ends with a proposal stating what we will build, how long it will take, and what it will cost.
  2. Building small: we get one core flow working first and run it on real data. For an agent, that means shadow mode, running alongside the people doing the work and comparing results.
  3. Widening: the proven flow is extended to the remaining processes and teams, with approval screens, dashboards, and integrations.
  4. Handing over: operations handover, staff training, and a guide for adjusting rules. We can keep running it for you if you prefer.

We share progress, cost, and risk openly, and raise the hard conversations first. The “How it was rolled out” tables in our Work show what each stage looked like in practice.

How are cost and timeline decided?

When the first stage, listening, is done, you get a proposal stating what we will build, how long it will take, and what it will cost. We do not give numbers before that, because an estimate made without seeing how you work is hard to keep.

As a rough sense: an agent for a single task or a prototype takes a few weeks to two or three months; a system or app used by several teams takes three to six months. Cost is based on duration and team size and is billed by stage. You can stop after the first stage.

Budget range and preferred timeline on the contact form are optional. You do not need to have decided them in advance. Start a project

Where is our data stored, and who can see it?

The principle is that data stays in your accounts and systems. Agents work with access permissions to your existing systems, such as the ERP, email, or help desk, and copy no data to our side. Any servers or accounts needed are created in your name, and our access is withdrawn when the project ends.

Where AI models are used, we document at the design stage which data goes to which model, and choose between commercial models under terms that exclude training on your data and models running inside your own infrastructure. For data containing personal information, masking and minimization rules are agreed first.

What an agent reads and produces is logged, and your staff can review it at any time. If you have security policies or audit requirements, we review them together in the first stage.

Let us talk about what to build

An unpolished idea is fine. Tell us about it and we will help shape the direction together.