AI Agents for Business
One agent for one process, from an AI agency

The agent handles the routine inside your systems. Your team checks and approves.

Have one built, or build it yourself?

Both work. A simple agent, such as an answer to a standard question from one source, you can build yourself today with tools like Base44 or ChatGPT. As soon as the agent should work inside your systems, with orders, receipts, appointments or campaigns, we build it with you: on your real cases, with approval rules, and with someone who looks after it afterwards. If the simple version is enough for you, we say so in the first call.

  • 2 weeks to a prototype on real cases.
  • 1 contact person on your side is enough.
  • The price in writing before you decide.

How it works

Five steps from the first call to a running agent.

01

First call, 30 minutes

You show us the process that costs the most time. We say whether an agent fits it and which systems it needs.
02

Prototype on real cases, 1 to 2 weeks

The agent works in a protected test room with real cases from your business. Nothing goes out, your team sees every output.
03

Decision with a fixed price

You see what the agent completed and where it stopped. The fixed price for the rollout and the monthly operation are in front of you in writing.
04

Rollout with approval rules

We set with you what the agent completes on its own and what comes to you as a draft for approval. Then it goes into your systems.
05

Operation with numbers, monthly

Every month you see completed cases, the approval rate and the corrections. When your process changes, we adjust the agent.

What your team gets out of it

The routine is done

Sorting, asking back, entering, preparing: the agent takes over the steps that cost time today and that nobody will miss.

Faster with the customer

A draft is ready when the request arrives. Your team checks and answers instead of starting from zero.

The same quality on every case

The agent follows the rules you set, on a Friday afternoon as well as on the hundredth case.

Growing without onboarding

More cases do not mean more onboarding. The agent knows your rules, and new colleagues learn from its drafts.

What stays with people

Everything that leaves the company, moves money or needs judgement is decided by a person. Unclear cases are set aside by the agent, never guessed.

Draft before send: how the approval works

The agent writes nothing directly to customers and changes nothing directly in your systems. Every draft lands in a queue, together with the sources it came from: the order, the receipt, the rule. A person checks, approves, edits or rejects. Every rejection with a short note becomes a lesson the agent applies to the next similar case. So the approval gets shorter over time, and the control stays with you.

What is different at Sharobella

Shop, agent and marketing come from one team here. So the agent knows the shop, the campaigns and the processes behind them, and nobody has to coordinate three vendors.

The agents run on our own platform with a knowledge graph and vector search: every answer has a source, every run is traceable, and what an agent has learned stays with you. How that looks technically is in the article Local AI for companies. For data that must not leave the building, the models run locally.

What runs for our clients today: support agents on WhatsApp and in the mail inbox, sales chat with the live catalogue of the shop, changes to ad campaigns prepared for approval, and answers from documents with their sources.

AI agents by industry

Four industries where we know the process. Each page names the systems and the fields the agent prepares.

What it costs

The prototype has a fixed price that you know before the start. After that you receive the rollout and the monthly operation in writing, with scope, integrations and approval rules, before you decide. The amount depends on how many systems the agent needs and how many cases it handles. Our entry prices for AI projects are on the AI consulting page.

Questions business owners ask

01
Why a prototype instead of a workshop?
A workshop delivers slides, a prototype delivers results on your real cases. After two weeks you know what the agent completes and where it stops, and you decide on that basis.
02
What if the prototype does not fit?
Then the project ends with the prototype. You keep the knowledge of which steps are suitable and which are not, and you pay only the agreed fixed price for the prototype.
03
Do we have to change our software?
No. The agent works with the systems you have: shop system, CRM, mail, practice or property management software. It connects through their interfaces, and your data stays where it is.
04
What if the agent makes a mistake?
A mistake stays a draft. Everything that leaves the company or moves money is approved by a person, and unclear cases are set aside by the agent. Every rejection with a note becomes a lesson for the next similar case.
05
Where does our data run?
In the prototype, in a protected test room from which nothing goes out. In operation, on our platform or, if your data must not leave the building, on local models at your site. We put that in writing before the rollout.
06
What does it cost?
The prototype has a fixed price, and the rollout and operation are in writing before your decision. The amount depends on the systems and the approval rules. Entry prices are on the AI consulting page.
07
Can I build an AI agent myself?
Yes, for simple cases. With Base44 or ChatGPT you build an agent that completes one clearly defined task from one source. As soon as several systems, approvals and accountability are involved, it makes more sense to have it built and looked after.
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