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CMR Studio/Services/Software house

Technology and training practice

Software house

From the control that lives in a spreadsheet to the system the team uses every day. Web systems, dashboards, automation bots and AI agents built by people who understand the operation.

What you receive

  1. 01SpecificationUnderstand
  2. 02PrototypePrototype
  3. 03Tested releasesBuild
  4. 04System liveLaunch
  5. 05RoadmapEvolve

01Who it is for

Common situations and scope of service

Common situations

  • A critical process depends on a spreadsheet only one person understands
  • Information scattered across email, WhatsApp and folders
  • Reports put together by hand every week
  • Off-the-shelf software does not cover the company’s rules

Scope of service

  • Web systems with role-based access
  • Client portal for documents and requests
  • Dashboards that read straight from company data
  • Bots for capture, checks and posting
  • AI agents for customer service and triage
  • Integration with the systems the company already uses

02How it works

How it works, in five steps

Each step leaves a written deliverable. The line shows work coming in disorganized and leaving as a routine.

  1. 01Understand

    Business rules written with the people who do the work.

    OutputSpecification

  2. 02Prototype

    Clickable screens to test before building.

    OutputPrototype

  3. 03Build

    Short releases, tested at every step.

    OutputTested releases

  4. 04Launch

    Data migrated, training and support.

    OutputSystem live

  5. 05Evolve

    Adjustments and new features by priority.

    OutputRoadmap

03In practice

From spreadsheet to system

See the same routine as a spreadsheet and as a system. Below, the bots log every task they run, and the AI agent serves the client on WhatsApp.

Fictitious data, to show how the work looks day to day.

04Division of responsibilities

Division of responsibilities

What stays with our team and what stays with the company in each part of the routine.

ActivityCMR StudioCompany
Business rulesWrites and validatesExplains how it works and decides
PrototypeDesigns and adjustsTests and approves
Build and testingDevelops and testsValidates each release
LaunchMigrates data and trains the teamFrees up the team for training
EvolutionMaintains and prioritizes improvementsSets priorities

05Frequently asked questions

Frequently asked questions

Who owns the system at the end?

The data belongs to the company. Terms for code, hosting and maintenance are written in the proposal.

Does it integrate with what we already use?

When the current system allows integration, yes. When it does not, the project recommends an alternative, such as file imports.

How do the AI agents work?

They reply and route within written rules, with human review at agreed points and access limited to what the task requires.

How much does it cost?

It depends on the scope. After the first conversation, the proposal sets out scope, timeline and investment.