FinOpsix
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FinOpsix · Engineering for operations

Your company grew.Your processes didn’t.

Poor visibility, manual work and scattered information are limiting the growth of your operations. FinOpsix designs and implements engineering solutions that centralise information, automate processes, improve control and turn data into decisions.

Growth should not create more chaos.

As a company grows, its operations become more complex. What worked before with spreadsheets, messages and manual steps now causes delays, errors and loss of control.

Operational complexity

Information

Your team collects information from several platforms.
Each team has its own version of the information.

Processes

Every new customer adds more operational work.
The operation is becoming harder to control.

Decisions

Key metrics take days to compile.
Important decisions depend on manual reports.

If you recognise any of these, growth is not the problem. Your processes have not developed as fast as your company.

Turn operational complexity into control.

The right technology does not add work. It connects what you already have, centralises your information and automates your processes, so that each step can be measured and improved.

  1. 01

    Connect

    Bring together the systems, documents, data sources and tools your operations depend on.

  2. 02

    Structure

    Organise information so that scattered data becomes a reliable source you can use.

  3. 03

    Automate

    Reduce repetitive tasks and build workflows that respond to events, rules and checks.

  4. 04

    Measure

    Turn operational activity into clear, traceable and timely metrics.

  5. 05

    Enrich

    Use AI to classify, search and interpret unstructured information, and turn it into useful knowledge.

  6. 06

    Improve

    Use reliable data to spot deviations, find opportunities and make decisions with more clarity.

  1. Scattered sources
  2. Connection and integration
  3. Structured information
  4. Automated processes
  5. Reliable metrics
  6. Better-informed decisions

When information flows and processes can be measured, a company is in a better position to protect its profitability and keep growing.

Solutions built for specific problems.

FinOpsix builds products for real operational needs: operations, productivity, information, financial control and skills development.

Commercial operations

Control for operations with several sales locations.

Brings commercial, operational and financial data into one place, so you can follow each location and see the business more clearly.

Problems it addresses

  • information spread across locations
  • manual consolidation of sales
  • difficulty tracking stock and stock movements
  • difficulty comparing results between locations
  • no clear view of how the operation is performing

Expected result

A commercial operation that is more visible, more traceable and ready to grow.

See how Viltrum works
ViltrumCommercial operations

Control for operations with several sales locations.

Brings commercial, operational and financial data into one place, so you can follow each location and see the business more clearly.

Problems it addresses

  • information spread across locations
  • manual consolidation of sales
  • difficulty tracking stock and stock movements
  • difficulty comparing results between locations
  • no clear view of how the operation is performing

Expected result

A commercial operation that is more visible, more traceable and ready to grow.

See how Viltrum works
Performance Management SystemProductivity and performance

Turn activity into performance metrics.

Organises and presents data on productivity, compliance and performance, so that operational teams are easier to follow.

Problems it addresses

  • metrics spread across different sources and tools
  • reports prepared by hand
  • difficulty comparing performance
  • weak traceability of objectives
  • decisions based on out-of-date information

Expected result

Clearer tracking of performance and a better ability to act on deviations.

See how Performance Management System works
OráculoOperational intelligence

Turn scattered data into useful information.

Connects and organises data from different sources to build analyses, metrics and signals that support decision-making.

Problems it addresses

  • fragmented information
  • inconsistent reports
  • difficulty identifying trends
  • few metrics available when needed
  • analysis that depends on manual consolidation

Expected result

Information that is easier to access, compare and use to understand the operation.

See how Oráculo works
FinOpsXFinancial controlIn development

Financial traceability for growing operations.

FinOpsX is designed to centralise financial transactions from different business units and operational systems. It supports accounting control and a consolidated view of the organisation.

Problems it aims to address

  • financial transactions spread across systems
  • no traceability between operations and accounting
  • several companies or cost centres
  • manual consolidation
  • difficulty linking operational events to their financial impact

Expected result

A structured financial view that is connected to operational reality.

Find out about the project
PARLAKnowledge and skills development

Turn information into learning experiences.

PARLA combines structured data, search by meaning and AI to build personalised learning experiences, with content based on defined sources and criteria.

How it connects with FinOpsix

It is a proof of an engineering capability that can be used in other operations:

  • organising knowledge
  • finding information by meaning
  • generating content based on a trusted source
  • combining automation with human review
  • avoiding repeated processing by saving results
  • adapting experiences to different needs

Business uses of this approach

  • internal training
  • onboarding
  • looking up procedures
  • knowledge bases
  • creating assessments
  • support for learning
  • organising corporate content

Expected result

Knowledge that is easier to access, and training that can change as the organisation changes.

See how PARLA works

Engineering that works with your operations, not against them.

This is not about adding one more isolated tool. We design solutions that connect to your sources of information, use the infrastructure you already have, and improve the points that are limiting your growth.

We integrate before we replace.

When a tool or system already does its job, replacing it should not be the first option. We look at how to connect it, use its data and make it part of a more efficient workflow.

What we can connect to

Corporate ecosystems

  • Microsoft 365OutlookTeamsWordExcelOneNoteOneDriveFormsPower BIPower AppsPower AutomateDataverseMicrosoft Entra ID
  • internal systems
  • databases
  • Google WorkspaceGmailGoogle CalendarGoogle DriveGoogle DocsGoogle SheetsGoogle Forms
  • cloud services
  • operational tools

Sources of information

  • email
  • forms
  • spreadsheets
  • documents
  • files
  • applications
  • APIs
  • system events

We do not replace for the sake of replacing. We build around what works and improve what is limiting your growth.

Not every problem comes from a catalogue.

If none of our existing solutions fits your operations, we can define the challenge with you and design a solution around your processes, data sources, metrics and goals.

  1. 1

    We define the challenge with you

    We learn how the process works today, who is involved, where the information is kept and what impact the problem has.

  2. 2

    We define the scope

    We identify what needs to be integrated, structured, automated or built.

  3. 3

    We design the architecture

    We define the data, components, permissions, integrations, rules and success measures.

  4. 4

    We build in stages

    We start with the components that show value early, then widen the scope.

  5. 5

    We implement

    We connect the solution to your working environment and support your team as they start to use it.

  6. 6

    We measure and improve

    We review how it performs, what the metrics show and where it can develop next.

  1. 1

    We define the challenge with you

    We learn how the process works today, who is involved, where the information is kept and what impact the problem has.

  2. 2

    We define the scope

    We identify what needs to be integrated, structured, automated or built.

  3. 3

    We design the architecture

    We define the data, components, permissions, integrations, rules and success measures.

  4. 4

    We build in stages

    We start with the components that show value early, then widen the scope.

  5. 5

    We implement

    We connect the solution to your working environment and support your team as they start to use it.

  6. 6

    We measure and improve

    We review how it performs, what the metrics show and where it can develop next.

Tell us what is slowing your operations down

You do not need a technical specification. Start by telling us which process is limiting your operations.

AI where it adds value. Precision where it matters.

Not every problem needs AI, and not every decision should depend on a probabilistic model. We design each component around the accuracy, traceability and context that your operations need.

  1. 01

    Data as the source of truth

    Important information is stored in a structured way that can be traced and queried. Metrics are built from reliable data, not from generated answers.

  2. 02

    Code for fixed rules

    Financial calculations, validations, permissions, business rules and critical metrics are applied through code and controlled queries.

  3. 03

    AI for unstructured information

    AI can add value in tasks such as:

    • classifying requests
    • extracting data from documents
    • summarising operational information
    • organising information and knowledge
    • helping with writing
    • finding topics and patterns
    • answering questions based on controlled sources
  4. 04

    Oversight and traceability

    We design sensitive automations with permissions, logs, checks and clear criteria, so that you can review what happened and why.

  5. 05

    Efficient use of technology

    Reusable results can be stored to avoid repeated processing, reduce response times and keep operating costs under control.

  1. 01

    Data as the source of truth

    Important information is stored in a structured way that can be traced and queried. Metrics are built from reliable data, not from generated answers.

  2. 02

    Code for fixed rules

    Financial calculations, validations, permissions, business rules and critical metrics are applied through code and controlled queries.

  3. 03

    AI for unstructured information

    AI can add value in tasks such as:

    • classifying requests
    • extracting data from documents
    • summarising operational information
    • organising information and knowledge
    • helping with writing
    • finding topics and patterns
    • answering questions based on controlled sources
  4. 04

    Oversight and traceability

    We design sensitive automations with permissions, logs, checks and clear criteria, so that you can review what happened and why.

  5. 05

    Efficient use of technology

    Reusable results can be stored to avoid repeated processing, reduce response times and keep operating costs under control.

When you regain control, your operations can move forward.

  • More visibility

    Find the information you need from clearer, easier-to-reach control points.

  • Less manual work

    Reduce repetitive tasks, manual consolidation and copying of data between tools.

  • Greater traceability

    Know where information comes from, how it changed and which process produced it.

  • More timely metrics

    Reduce the time it takes to turn operational activity into usable information.

  • Better-informed decisions

    Use structured data and clear signals to compare your options with more context.

  • Processes ready to grow

    Build workflows that depend less on manual effort and can handle a higher volume of work.

  • Better protection of profitability

    Spot inefficiencies, deviations and opportunities earlier.

Engineering designed to operate with confidence.

  1. 01

    Security by design

    We define access, permissions and data handling according to the needs of each solution.

  2. 02

    Traceability

    Important actions and changes can be reviewed whenever the operation requires it.

  3. 03

    Responsible integration

    Each connection asks only for the permissions it needs to do its job.

  4. 04

    Operational continuity

    Every solution is designed with monitoring, error handling, backups and recovery in mind.

  5. 05

    Cost control

    When we design the architecture, we consider usage volume, storage, integrations and the cost of AI services.

  6. 06

    Progressive development

    We design solutions that can grow in stages and adapt to new needs.

The next level of growth needs operations that can support it.

Companies that scale do not depend on working harder.They depend on operating better.

FinOpsix builds the engineering that lets your information, systems and processes grow as fast as your company.

Tell us what is happening in your operations. We will assess whether an existing solution can help, or whether your case needs a different approach.

I would like to learn about a solution