Applied artificial intelligence
Language models built into real processes, with evaluation, controlled costs and people in the loop where it matters.
The problem
«We want to use AI in a concrete process, not another pilot that stays a demo.»
Connecting a language model takes an afternoon. Making it work with real documents, incomplete data, users with different permissions and a cost budget is a different job, and it is engineering. Most AI projects get stuck in that gap.
What we do
Document processing
Data extraction from invoices, contracts or forms, with checks and a confidence score for every field.
Search over your information
Plain-language questions about your internal documentation, with answers that cite the source and respect who can see what.
Classification and routing
Emails, tickets or requests classified and sent to the right place without manual work.
Assisted workflows
The model prepares the work and a person decides: drafts, reviews, summaries, checks.
Agents, when it fits
Models that take actions in your systems, with explicit limits and human approval on sensitive steps.
Evaluation and monitoring
Real test cases, quality metrics, cost per operation and a record of every decision the system makes.
When it makes sense
- There is a high-volume process full of unstructured information: PDFs, emails, free text.
- The company's knowledge exists, but nobody finds it in time.
- You tried a generic tool and it didn't reach the accuracy the process needs.
What you get
A process that works in production, with measured accuracy, predictable costs and a clear path for when the model gets it wrong.
How we build it
Rules first, models second. If a rule or a deterministic step solves the case, it is cheaper and easier to audit. The model comes in where it adds value, and whatever doesn't reach the required confidence goes to a person.
That's how Alfred thinks: finer and finer stages, with AI exactly where it adds the most. Read how we designed it
Frequently asked questions
Which models do you use?
Whichever solves the case best in quality, cost and privacy. We design the integration so you can switch providers without rebuilding the system.
Will our data end up training third-party models?
No. We use services and settings that exclude your data from training, and we document it before processing sensitive information.
How do you know the AI is working well?
With a set of labelled real cases that we measure before going live and on every change. If accuracy drops, we see it in the metrics, not in a complaint.
Is AI always needed?
No. If a rule or an integration solves the problem, we'll tell you: it is cheaper and easier to maintain.
Other services
- Custom software developmentInternal systems, platforms and APIs designed around how your company works, not the average case.
- Digital product developmentFrom the first version to a product real customers use, without rewriting it along the way.
- Legacy system modernizationEvolving systems the business can't switch off: in stages, measurable and without freezing operations.
- Data, integration and automationData that reaches the right place on its own: integrations, pipelines, automation and dashboards like Power BI.
Let's talk about your project.
Tell us what you need to solve. The first conversation is to understand the problem, not to sell you something.
We reply within 1 business day.