HOW WE HELP / ALGOV

AI in your product

Turn data into useful answers.

Search across company knowledge, analyze documents and build assistants. We choose models to suit your task, budget and data requirements.

Let's discuss it ↗

Knowledge within reach.

SOUND FAMILIAR?

From limitation
to opportunity.

AI has value when the user reaches the right information faster or completes a task with less effort. We help turn model capabilities into a product feature with a clear scope and verifiable quality.

01The team spends a long time searching for knowledge scattered across documents.
02Users need analysis, comparison, or interpretation of data.
03You have an AI prototype, but it lacks the quality needed for deployment.

SCOPE OF WORK

What can we build for you?

Search and corporate knowledge

We design RAG, source citation, and access aligned with the user's role. We ensure material updates, removal of deprecated content, and handling of questions that have no answer.

Analysis and in-app assistants

We add summaries, comparisons, information extraction, and assistance with specific tasks. The interface can be a conversation, a form, or a change preview, depending on how the user works.

Quality and model selection

We prepare representative tasks and compare quality, time, and cost. We implement validation, regression tests, and monitoring. Changing the model becomes a verifiable decision, rather than an experiment on all users.

THE OUTCOME WE AIM FOR

Faster access to knowledge, with source citations and quality checks.

Understand

We build example sets and criteria for a good answer.

Build

We compare models, costs and approaches on your data.

Improve

We add permissions, response tests and a human review path.

CLEAR DELIVERABLES

You know what you'll receive.

A set of tasks and a definition of a correct result.
Comparison of approaches and a recommendation with limitations.
An AI feature with permissions, source control, and error handling.
Evaluations, monitoring, and a procedure for updating the solution.

MEASURABLE VALUE

You know what changes.

We assess the consistency of answers with the source, task completeness, time to a useful result, and the cost of an accepted case. We separately investigate cases requiring clarification or refusal. A good answer is sometimes a clear indication that human assistance is needed.

View an illustrative scenario ↗

What should you prepare to start?

We need examples of questions or documents, expected results, and information about user roles. We will define the scope of data permitted for processing, integration requirements, and the method for quality control by people familiar with the process.

QUESTIONS AND ANSWERS

Good questions. Clear answers.

Do you need to train your own model?

Not necessarily. Often, model selection, proper context, and integration with sources are sufficient. We consider fine-tuning or self-hosting as separate variants with specific justification.

Can AI use company documents?

Yes, if we establish sources, updates, and access control. The assistant should display the origin of information and respect permissions before passing content to the model.

Can you guarantee no incorrect answers?

We do not claim model infallibility. We design measurable quality, limitations, validation, and a handover path. We tailor requirements to the consequences of errors.

What about costs as the number of users grows?

We test representative load and budget the cost of the entire case. We establish limits, monitoring, and scaling variants, taking into account retries and tools.

LET'S TAKE THE FIRST STEP

Let's discuss
your project.

You don't need a finished specification. Tell us what you want to improve, and we'll find the right place to start together.

We'll find where technology can bring you the most value.
We'll discuss scope, budget and a practical plan.
We'll agree on a clear next step, with no obligation.

Tell us about your project ↗hello@algov.pl