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MR-XDevelopment

AI that does one clear job, with your team in control.

We add AI features to existing products and workflows: assistants that answer from your own documents, processing of emails, documents and orders, and help for online stores with product texts, search and support. Each feature starts as a small pilot with clear criteria.

Discuss an AI feature

A typical AI integration

  • AI feature, We deliver

    Assistant, search or document processing

  • Your data, prepared, We deliver

    Documents, catalogue, orders, indexed

  • Rules & review, We deliver

    Limits, logging, human approval

  • Language model, Connected or already yours

    Provider chosen for the task and data

  • Your systems, Connected or already yours

    Store, CRM, email, connected

A starting plan, not a quote. We adjust it with you in the first call.

Who it helps

  • Businesses with repetitive work on emails, documents or orders
  • Online stores with large catalogues and many customer questions
  • Product teams adding AI features to an existing app

Problems it solves

  • Staff retyping data from emails, PDFs and order forms
  • Customers and staff unable to find answers in your own documents
  • Thin product descriptions and search that misses what shoppers mean
  • Worries about data privacy and unpredictable AI costs

You get

How the work runs

A short scoping session on one task, a pilot on your real data reviewed by your team, then a rollout with limits on cost and access.

  • A first use case with clear success criteria
  • An assistant or chatbot that answers from your data and shows its sources
  • Automated processing of emails, documents or orders, with human review where it matters
  • Usage and cost limits, with a log of every request
  • A written note on what data goes where and what stays with you

Technologies we use for it

Application
The logic behind it: accounts, orders, rules and integrations.
PHPLaravelPython
Data
Where your information lives, stored safely and quick to search.
PostgreSQLpgvector
Connected services
Payments, maps, notifications and other services we plug in.
OpenAI APIClaude API

How a project runs

  1. Sketch

    We map screens, parts and connections with you and agree what the first release includes.

  2. Design

    Clickable designs of the key screens, reviewed with you before development starts.

  3. Build

    Development in short cycles. You see working software along the way, not only at the end.

  4. Launch and run

    We release, host and maintain the product, and keep improving it with you.

In detail

We add AI where it does a specific job whose result can be checked. Typical tasks:

  • AI features inside an existing product or admin panel.
  • Assistants and chatbots that answer from your own documents, catalogue or knowledge base, with a link to the source.
  • Processing of emails, documents and orders: extracting data, sorting and drafting replies.
  • Help for online stores: product descriptions, search that understands what shoppers mean, and support replies.

How we keep it under control

We start with one task and a pilot on your real data. Your team reviews the output wherever a mistake would matter. We agree in writing which data goes to which AI provider, set usage and cost limits, and log every request, so you can see what the feature does and what it costs.

Have something like this in mind?

Tell us about it. We'll reply with questions and a suggested first step.

Discuss an AI feature