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AI agent development for businesses

Each agent reads requests and documents, drafts answers and shows its sources. Your team reviews and approves results before they are sent.

Email us about your project See how it works

For
Teams with work that repeats daily and someone to approve it.
Our products
KeySend, Food & Fit

One quote request, from inbox to client. Approve the draft or send it back.

Simulation A quote request, from inbox to client Fictional workshop, client and prices.

Incoming email

Ioana Marin, Studio Arc (fictional)

Quote for 12 oak desks

Hello, could you send a quote for 12 oak desks, 140 × 70 cm, delivered to our Cluj office before 15 December?

The agent

Product
Oak desk, 140 × 70 cm
Quantity
12
Delivery
Cluj, before 15 December
Missing
Finish: oiled or lacquered?
  1. 12 oak desks, 140 × 70 cm, at the list price for 10 or more.Price list 2026, line 14
  2. Delivery to Cluj in 3 working days, free for an order this size.Delivery rules, Cluj
  3. Which finish would you like, oiled or lacquered?Question added: finish missing

Review

Ana, sales

Note from Ana: “Offer 5% off for 10 or more desks, as agreed.”

Revised: 5% off the list price for 10 or more desks, shown on the quote.

In this demo Ana approves automatically if you do not choose.

Sent by Ana at 10:42 from the company inbox. Draft, note and approval saved in the log.

  1. A request arrives An email lands in the shared inbox.
  2. The agent reads it It picks out what was asked and what is missing.
  3. The agent drafts a reply From your price list and delivery rules, with the source beside each line.
  4. A person decides Approve it, or send it back with a note.
  5. It goes out Sent from your own email account and recorded.

What changes

  1. TodayRequests wait in a shared inbox.

    With AL+Each one is read on arrival, with missing details listed.

  2. TodayEvery reply is written from scratch.

    With AL+Drafts come from your price lists and templates, with sources.

  3. TodayYou fear AI sending the wrong thing.

    With AL+Nothing goes out until a named person approves it.

What an AI agent can do

  • The agent

    One job, written down: what comes in, what goes out, what it must never do.

  • Where it runs

    Run by us, or installed on your infrastructure and handed over. Either way, you know in writing which data reaches which AI provider.

  • Review and connections

    A queue for approvals and a record of every decision, connected to your tools through their official APIs.

From task to implementation

  1. One workflow

    We map the steps and where a mistake is expensive. If a simple automation is enough, we say so.

  2. Scope and fixed price

    In writing. Running costs, such as hosting and model usage, are estimated separately.

  3. Tested on past work

    The agent runs on your past examples before it touches live work.

  4. Live, then maintained

    It starts on a share of real work. Models, APIs and prices are watched and the agent updated.

Products built by AL+

KeySend reads each client's Google Ads account every day and writes what changed, with the numbers behind it; the consultant decides what to do. Food & Fit returns an AI meal estimate the user checks and corrects before saving.

Who this is for

A good fit

A task that comes back every day or week, someone to approve it, and tools with an API or export.

Look elsewhere if

Nobody can review the drafts, or you want an agent to act on clients unsupervised.

AI agents by industry: AI agents for marketing agencies, AI agents for accounting firms.

Questions

Does the agent talk to our clients?

Only if you decide so, within limits you approve. By default a person sends every draft. An agent that talks to people tells them it is an AI system.

Where does our data go?

It depends on the setup, and we put it in writing before we build: which systems the agent reads, which AI provider receives what, and where records are kept. Hosting the agent on your servers keeps the agent in your infrastructure; a model from an outside provider still receives the text it processes.

What does it cost to run?

Model usage, hosting and subscriptions depend on volume. They are separate from the build price and estimated with you before you commit.

Further reading

  • Software needs an owner

    Software becomes expensive when nobody clearly owns it. Ownership is a role, not a repository permission, and most struggling systems are missing it.

Which task should an agent prepare?

Describe the task, the documents involved and who checks the result. We establish whether an AI agent or a simpler automation fits.

Email us about your project

Or copy the address: paul@alplustech.com

Keep passwords and customer data out of email.