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DATA & AI CONSULTANCY

Put data and AIto work in your business.

Equip your team, decide where to invest and build tools that fit the way you work. Start with enablement, strategy or implementation.

Book an introductory callExplore our services
Start with the business problem.Enablement. Strategy. Implementation.
01EnablementBuild practical skills.02StrategyMake the business case.03ImplementationBuild and verify.

OUR SERVICES

What do you needto move forward?

Build skills, make an investment decision or put a solution into use. Choose one service or connect all three around your priorities.

01Enablement

Build skills your team can use.

Start here whenYour team needs to put AI into everyday work.

Give leaders, operational teams and developers practical experience with AI. Work on familiar tasks, understand its limits and learn how to check its output.

  • Leadership sessions on opportunities, limits and risks
  • Hands-on workshops using real business tasks
  • Guided practice in using AI and checking its output
What you leave with

Practical skills, repeatable ways of working and use cases to explore with your team.

Discuss enablement
02Strategy

Build the case before you invest.

Start here whenYou need to decide where data and AI merit investment.

Assess opportunities against your operations and financial baseline. Use real EBITDA analysis to weigh potential impact, delivery costs and ongoing costs before deciding what to build.

  • Opportunity assessment grounded in your processes and data
  • EBITDA impact scenarios using actual figures and explicit assumptions
  • Prioritised roadmap, first pilot and criteria to measure results
What you leave with

A business case you can challenge, with clear priorities, assumptions and a first project to scope.

Discuss strategy
03Implementation

Build it. Check it. Put it to work.

Start here whenYou have a process to improve or a solution ready to build.

Connect your data, automate tasks and build AI tools that fit your systems. Verify data quality, output accuracy and business results throughout implementation.

  • Data pipelines and integrations with your existing systems
  • AI assistants, agents, and decision support
  • Continuous testing, expert review and checks at every milestone
What you leave with

A working solution with verified outputs, clear ownership and measures to track its value.

Discuss implementation

IN PRACTICE

See the problems we’re working on.

Two examples of data integration, AI-assisted work and expert review, with their current stage made clear.

SPORTS PERFORMANCE

Bringing athlete data into coaching decisions.

Active project · Results not yet measured

A shared view of athlete data, with AI-drafted recommendations that coaches review before changing a plan.

Read project details
The challenge
Training, wearable, and medical information sits across different sources, making individual plans harder to prepare.
What we’re building
The performance command center brings information into one place and supports plan preparation. Coaches retain the final say on recommendations. This is an active project; results are still to be measured.

Data integration · AI decision support

INSURANCE

Making legacy products easier to migrate.

Working application · Demonstration data

An AI-assisted studio that turns source material into structured product specifications, with evidence and expert review at each stage.

Read project details
The challenge
Product definitions are buried in documents, databases, and old screens. Reconstructing them by hand is slow and difficult to verify.
What we’re building
The studio documents sources, prepares a product memo, and produces configuration and test outputs after human approval. A working application exists with demonstration data.

Document intelligence · Workflow automation

TWIZI / OUR APPROACH

Define the value. Verify the progress.

HOW WE WORK

Agree what matters. Check it as we build.

Your team helps define success and review the evidence. We revisit assumptions, test each delivery and use what we learn to decide the next step.

  1. 01

    Establish the baseline

    Map the process, the people and the current figures. Agree which outcomes and measures will guide the work.

  2. 02

    Start small

    Use a workshop, assessment or pilot to test the approach and its assumptions before expanding the scope.

  3. 03

    Verify throughout delivery

    Check data, test outputs and review results with your experts at every milestone. Resolve gaps before moving forward.

  4. 04

    Measure and hand over

    Compare results with the agreed baseline. Hand over the solution, its checks and the knowledge your team needs to use it.

Before we start.

Do we need a defined AI project?

No. Bring a task, a decision or a process you want to improve. We can help assess the opportunity and decide whether enablement, strategy or implementation is the right starting point.

Can we work with you on just one service?

Yes. Start with a workshop, a strategy engagement or implementation. We agree the scope around your needs; you do not have to commit to all three.

What does real EBITDA analysis involve?

We use your actual business figures to assess how a proposed project could affect earnings before interest, taxes, depreciation and amortisation (EBITDA). We make revenue, cost and adoption assumptions explicit, include delivery and running costs, and distinguish time released from savings the business can realise. Scenarios support the investment decision; measured results are checked against the baseline during implementation.

How do you verify the work during implementation?

We agree acceptance criteria and measures at the start, then check data quality, test outputs and review progress with your experts at each milestone. We revisit the business case as evidence comes in and resolve gaps before the next delivery.

LET’S TALK

Let’s find your starting point.

Tell us which task, decision or process you want to improve. We’ll discuss where data and AI could help and which kind of support fits.

In Portuguese or English. You don’t need a finished brief to start.

What we’ll cover

  1. Your business challenge and priorities
  2. Your current data, systems and team
  3. Where to start: skills, strategy or delivery

Scheduling is handled by Cal.com. Your contact details are used to arrange the meeting.