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VistulaCode

AI FOR DAILY BUSINESS TASKS

Answers and drafts from your company documents

Help staff spend more time using what your company knows and less time searching for it. We connect AI to approved information so they can ask questions, find details and prepare drafts. Answers link to sources and follow existing access permissions; missing or uncertain information is flagged for review.

Discuss your taskHow we work
AI-generated illustration of Michał reviewing supplier and product data at a workstationAI AT WORK

Example: answering a question about company policy

  1. Staff question
  2. AI drafts an answer with sources
  3. Staff check the source

Less time searching documents. Answers your team can verify.

AI-generated illustration

What you get

These are possible parts of a full project. The audit identifies what you need, a separately priced pilot checks the value, and you decide on implementation after seeing the results. See what each stage includes.

  • Less time searching

    Find a suggested answer and the relevant document passages together, so staff can check the facts and move the work forward.

  • Details ready to review

    Dates, parties, terms and other agreed fields are collected from documents into a table or record.

  • Checks before each update

    A set of real questions shows whether answers remain accurate when documents or AI tools change.

  • Existing access rules respected

    Staff can only receive answers based on documents they are allowed to see.

What we can set up

We agree which of these tasks your project needs before quoting the work.

  • Ask questions about company information

    Search and answer questions using approved policies, guides, tickets and technical documents.

  • Find the relevant source

    Locate the passages needed to answer a question, applying the person’s document access permissions.

  • Collect required document details

    Extract agreed fields and flag missing or uncertain values for staff review.

  • Summarise and compare documents

    Prepare summaries and check long documents against your rules or checklist.

  • Prepare drafts for approval

    Use approved terminology and retain a record of edits. Your team reviews drafts before use.

  • Test questions with images attached

    Build a prototype that can use text together with an image, diagram or screenshot.

Where this could make a difference

Possible applications, not completed client projects or promised results.

  • Answer a staff policy question

    An employee asks about a procedure and receives an answer with a source link, or is directed to the responsible person.

  • Review contract details

    Collect parties, dates, renewal terms and liability clauses in a table for a person to check.

  • Prepare a customer questionnaire response

    Use approved past responses to draft answers, leaving final review to the specialist responsible.

How a project runs

We agree the task, test it with your staff and review the results before putting it into daily use.

Audit, pilot and full build

  1. Step 1: Choose documents and questions

    List the sources, who maintains them and who can read them. Collect questions staff actually ask.

  2. Step 2: Agree correct answers

    Create a test set with expected answers and the documents that support them.

  3. Step 3: Check search and answers

    Test whether the tool finds the right information and uses it accurately. Fix the weak points.

  4. Step 4: Try it with a small team

    Collect feedback and track answer quality and cost before deciding on wider use.

What to check before starting

  • AI answers can be wrong. Source links, clear uncertainty messages and staff review help people check important information.
  • Automotive sales imagery and vehicle marketing media are outside this service.
  • We explain where data will be processed and agree provider terms before sending information to an external AI service.
Technical details for your IT team

Tools are chosen for your existing systems and project requirements. You do not need to choose these before discussing the business task.

  • Python
  • Hugging Face · Transformers, Datasets, PEFT
  • REST APIs
  • Docker
  • Monitoring · metrics, logs, alerts
  • Vector search · e.g. pgvector, chosen per stackoptional
  • Hosted or self-hosted LLMs · chosen per data and cost requirements

Common questions

Will our data train someone else’s AI?

This depends on the provider and contract. We review those terms with you before sharing data and compare them with running a suitable model in your own systems.

How do you check whether answers are useful?

We test real staff questions against agreed answers and source documents. Your specialists review a sample, and we record wrong answers and missing sources.

Can it use our existing document permissions?

Yes. The assistant checks access before using a document, so it only draws on information the person asking is allowed to read.

Related tasks we can help with

AI-generated illustration of Michał showing an AI-drafted customer reply to a colleagueAI AT WORK

Check the results before staff rely on AI

  1. Choose real work examples
  2. Check AI results against correct answers
  3. Your team decides whether to launch

Find incorrect answers and missing information during testing, before the tool enters daily use.

AI-generated illustration

CHECK THE BUSINESS CASE

Will this save your team enough work?

We agree how to measure time spent, errors and running costs. The pilot gives you evidence for the decision about a full build.

See how we test the idea

LET'S TALK ABOUT YOUR BUSINESS

What would your team do with more time?

In a 20-minute call, tell us what your team types, copies or searches for every day, and what those hours could be used for instead. We'll explore where AI could help and what we need to check.

Let's talk about your business

20 minutes to explore what takes up your team's time