AI agents for businesses: we build it for you, no subscription

It depends on what it needs to do. Building an assistant that looks up documentation isn't the same as building an agent connected to an ERP, a CRM or a database that can carry out certain actions.

We analyse the case, the integrations needed and the level of complexity to prepare a proposal tailored to the project.

We can work either way.

When the scope and requirements are clear, we can prepare a fixed quote. If there's technical uncertainty or the project needs to evolve during development, we can also work by the hour, with the terms agreed beforehand.

The idea is that you know from the start how the project will be built and what costs to expect.

Not necessarily. The development we do doesn't carry a mandatory monthly fee.

We deliver the solution and, if you want, we can later take care of its maintenance or oversight.

That doesn't mean an AI solution can't have other recurring costs. There can be hosting, infrastructure, API or AI model usage costs, for example through tokens.

The cost will depend on how we design the solution and whether we use proprietary models, open models or other technologies.

For example, we can use a proprietary model through an API, or design an architecture based on open models when it makes sense. Each option has its own advantages, drawbacks and costs.

The solution is yours and doesn't necessarily depend on a subscription to Albin Soft.

A chatbot may be designed mainly to hold a conversation and provide answers. An AI agent can go one step further: look up information, use tools and carry out certain actions within the permissions we've given it.

For example, an agent could look up a customer's information, check data in another system and prepare a reply.

The difference is that the agent doesn't have to be limited to conversation: it can be part of a work process.

Not necessarily.

We can work with information stored in databases, ERP, CRM, documents, spreadsheets, management systems, Google Drive, in-house applications or services accessible via API.

If the information is in digital format, we'll look at how to connect it to the solution.

And if some of the information is still on paper or in formats that can't be easily processed, we can first look at how to digitise it.

It can automate certain tasks currently done by a person, especially repetitive ones based on defined information or procedures.

But we don't approach artificial intelligence as a universal replacement for employees.

In many cases, the biggest value is AI helping the team: looking up information, preparing replies, processing documents, querying data or handling repetitive tasks so people can spend more time on work that requires judgement and experience.

First we analyse the process, then we assess what's worth automating.

We're not tied to a single model.

We can work with different providers and technologies, including proprietary models via API and open models, depending on the project's needs.

The choice can depend on factors such as response quality, the type of task, cost, speed, privacy or the ability to run the model on specific infrastructure.

We don't sell you a specific AI: we choose the technology that best fits the project.

It depends on how we design the solution.

Not every project has the same privacy needs or requires the same architecture. We can use external services via API, our own infrastructure, cloud services or, when it makes sense, models that can run on infrastructure under our control.

Before building the solution, we can assess what information is processed, where it's stored and what services are involved.

Security and privacy are part of the solution's design, not something to decide afterwards.

We can build on the tools you already use.

It doesn't make sense to replace a solution that works just to use a different technology.

We can integrate tools like Dify or n8n with your applications, extend an existing system, or build only the parts you need.

The technology you already have is also part of the project.

There's no single timeframe.

A simple prototype can be ready quickly, while a solution connected to several systems, with different permissions and processes, will need more work.

The timeframe will mainly depend on the scope, the integrations needed and the complexity of the process we want to automate.

Before we start, we can define what we want to achieve and split the project into phases when convenient.

We start by understanding what you want to achieve and how the process currently works.

Then we analyse the possible solutions and choose the most suitable technology. When it makes sense, we first build a prototype to check that the approach works before tackling the whole project.

From there we develop, test and integrate the solution with the necessary systems.

Finally we deliver the project and the corresponding documentation. If you need it, we can also later take care of maintenance or oversight.

No.

You don't need to know what RAG is, which model to use, how an agent works or which tool we should use.

Tell us what problem you have, what process you want to improve, or what task you'd like to automate.

We'll analyse what options exist and tell you whether artificial intelligence makes sense for your case.

And if we find that a conventional automation or a simpler development solves the problem better, we'll tell you that too.

Not everything needs AI. What matters is finding the right solution.