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CraftSoftware System

AI development and automation

AI that removes busywork, with people kept in control

Practical AI features and workflow automation — document intake, classification, search, and assistants — wired into the systems you already use.

Concept interface with demo data — not client work.

Problems we solve

Where this makes the biggest difference

  1. 01

    Staff retype information from documents

    Invoices, forms, and contracts arrive as PDFs and emails. Extraction pulls out the fields so people check rather than type.

  2. 02

    Requests pile up in a shared inbox

    Everything looks equally urgent. Classification and routing put each request in front of the right person sooner.

  3. 03

    Knowledge is hard to find

    Answers live in documents nobody can search well. Retrieval-based search and assistants help teams find what they already know.

Use cases

Suitable for

  • Document intake and data extraction
  • Email and ticket classification and routing
  • Internal knowledge search and assistants
  • Report and summary generation for review
  • Automation between existing business systems

What you receive

Typical deliverables. The exact list is agreed in your proposal after discovery.

  • Workflow analysis and a scoped pilot
  • Evaluation set to measure accuracy on your own data
  • Integration with your systems and approval steps
  • Review interface for low-confidence results
  • Usage, cost, and quality monitoring
  • Data-handling notes for your privacy review

How we work together

A collaboration you can follow

You'll see progress early and be part of each key decision.

  1. 1

    Start with one workflow and a measurable pilot

  2. 2

    Test on representative, anonymized samples you provide

  3. 3

    Agree where a person must confirm results

  4. 4

    Expand once the pilot's accuracy is acceptable to you

Every project also includes ui/ux design, integrations, maintenance, and modernization where needed.

FAQ

AI & automation: common questions

Will AI replace our team?

That's not how we design it. We automate repetitive steps and keep people reviewing decisions that matter, especially where confidence is low.

What happens to our data?

We agree which providers and regions are used, what is stored, and for how long, before any real data is processed. Options depend on your requirements and the providers chosen.

How accurate will it be?

It depends on your documents and task. That's why we measure accuracy on your own samples during a pilot rather than promising a number up front.

Ready to talk it through?
Tell us about it.

Tell us what you’re building. We’ll review your goals and reply with questions and next steps — a quote request is an assessment, not a commitment.