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FDX Solutions

AI and data privacy, onshore hosting available, your data not used for training

Use AI safely
in your business.

Your team is already using AI. The question is where your customer data ends up. We set up approved AI tools, clear rules and guardrails, so your people get the speed of AI and keep customer data private, in accounts your business controls.

Take the 3 minute AI data privacy assessment

It's free and only 10 quick questions. You see your AI data privacy score at the end, and Fab gets back to you to go through it.

Technologies we work with

  • Microsoft Copilot
  • Claude
  • OpenAI Codex
  • ChatGPT
  • Hermes Agent
  • OpenClaw

Data privacy first

Worried about customer data going into AI? We set up the guardrails first.

How we protect your data

01 · The risk

The risk is already inside your business. Most of it is out of sight.

  1. 01

    Staff use AI to save time, often on personal accounts the business can't see.

  2. 02

    Emails, contracts and client notes get pasted in for a quick answer.

  3. 03

    On personal plans, what people type can be used to improve the AI, depending on each person's settings.

  4. 04

    Banning AI rarely stops it. It moves to phones, where nobody can see it.

One business owner told us their biggest worry is staff pasting customer spreadsheets into AI. That's where we start.

02 · What we set up

How we keep
your data private.

Useful AI starts with knowing where information goes, who can access it and what your team should share. A common risk is staff pasting customer spreadsheets into personal AI accounts. We close that gap first.

Kept out of model training

We choose business plans or private deployments with terms and settings that exclude your business data from model training.

Australian hosting available

Where required, we design for Australian hosting in your cloud account and check where processing, storage and support access occur.

Your logins, your control

Your organisation owns the accounts. Access is tied to company logins where supported, with permissions for each role.

Clear rules for your team

A practical guide to what can go into AI, what needs approval and what stays out.

Guardrails on every agent

Each agent only reaches the data its job needs, and anything that leaves the business waits for your approval.

One safe place to use AI

Your team works on company accounts, so nobody needs to paste customer information into personal tools.

03 · How it works

From first chat to AI your team can use safely.

Phase 1 · Workshop

Start with your team

A hands-on session on where AI is already used, what data it touches and what safe use looks like.

Phase 2 · Map

Find the risks and the wins

Which jobs AI should help with, which data it can read, and the rules for each.

Phase 3 · Build

Set it up safely

Company accounts on business plans, guardrails on every agent and an approvals queue.

Phase 4 · Run

Keep it safe as you grow

Your team trained, the rules written down and the setup documented. You own the accounts.

What you get

  • Company AI accounts on business plans
  • Clear rules on what goes into AI
  • Guardrails on every agent
  • An approvals queue: nothing sent without you
  • Training, docs and handover

04 · The dashboard

See what your AI is doing. Approve what matters.

Alongside the accounts, rules and guardrails, we set up one dashboard where you can see which agent did what, and approve anything before it goes out.

See what each agent is doing

Every agent on one live map, with what it is working on right now and what it finished last.

Nothing goes out without you

Drafts land in an approvals queue. Agents do not send emails, post, book or spend without a person saying yes.

Usage you can control

See how much each agent and department uses, choose which AI model each one runs on, and set limits that need your approval to go over.

Take the 3 minute AI data privacy assessment

05 · The platforms we use

Leading AI platforms. Set up safely for your business.

We pick the platform that fits the job, on business plans that keep your data out of model training.

  • Claude

    Claude runs FDX's own AI team. We use it for agents that research, write and check work before you see it.

  • OpenAI

    ChatGPT for teams that already use it, set up on business plans with clear rules. Codex for building tools and pages.

  • Microsoft Copilot

    Copilot for teams on Microsoft 365, and the Microsoft data platform behind our Data Intelligence work.

  • Hermes AgentOpenClaw

    Open source agents such as Hermes Agent and OpenClaw, for teams that want agents running on their own systems.

06 · Fit

Is this for you?

This is for you if

  • Your team already uses ChatGPT, Copilot or similar, on their own accounts
  • You handle customer, client or patient information
  • You want the speed of AI without guessing where your data goes
  • You want to see and approve what AI does before it goes out
  • You'd rather set the rules now than clean up later

This is not for you if

  • You want AI to send, post or spend with nobody checking
  • You only want a list of prompts
  • You want a tool demo, not a proper setup
  • You aren't ready to set a few simple rules for your team

Where it can help

Start with a job
your team already does.

Construction & trades

Draft quotes from plans, prepare variation letters and organise tender documents. AI can assist with SWMS drafts, with a competent person reviewing and approving safety content.

Real estate & property

Prepare listing copy and appraisal drafts, sort tenant enquiries and bring portfolio information together for review.

Professional services

Assist with document review, prepare client email drafts and summarise approved material. Confidentiality rules and human judgement stay part of the workflow.

For teams in

See an example dashboard for each industry

Experience across
Australian organisations

Our data & BI work

In their words.

Feedback from our data and business intelligence engagements, spanning reporting, analytics and the data foundations behind them.

Recent engagement

Macquarie

Laila Masri

Associate Director
Macquarie

Selected excerpts

He does not simply implement requirements; he challenges assumptions, recommends better approaches, and continually seeks opportunities to improve both the solution and the underlying processes.

Any organisation looking for a high-performing data and analytics professional would be fortunate to have him on their team.

Full recommendation

Laila Masri

Associate Director · Macquarie

I have had the pleasure of working with Fab for over two years, during which time he has consistently demonstrated exceptional technical expertise, professionalism, and an unwavering commitment to delivering business outcomes.

Fab is one of the most technically capable Power BI professionals I have worked with. He possesses a deep understanding of the entire Microsoft data and analytics ecosystem and has extensive experience designing, developing, and optimising enterprise-scale Power BI solutions. His expertise extends far beyond report development. He has a thorough understanding of data architecture, data modelling, data governance, data quality, and the broader data lifecycle required to deliver meaningful and sustainable analytics solutions.

During his time in the team, Fab has been instrumental in building complex dashboards and reporting capabilities that provide actionable insights to both operational and executive stakeholders. He has an exceptional ability to take complex business requirements and translate them into intuitive, highly performant, and visually compelling Power BI solutions. His knowledge of DAX, Power Query, semantic models, data transformation techniques, and performance optimisation is outstanding, allowing him to consistently deliver solutions that are both scalable and user-friendly.

What particularly sets Fab apart is his understanding that successful analytics solutions are not simply about creating dashboards. He understands the importance of establishing robust underlying data structures, ensuring data integrity, and implementing sustainable reporting frameworks that can be trusted by decision-makers. He spends the time required to understand the source data, identify potential issues, and work collaboratively with stakeholders to ensure the final solution accurately reflects business requirements.

Fab is also highly knowledgeable in Digital Employee Experience (DEX) analytics and data management practices. He has consistently demonstrated an ability to analyse large and complex datasets, identify trends and operational insights, and present information in a manner that enables leadership teams to make informed decisions. His analytical skills are complemented by a strong understanding of business processes, allowing him to deliver solutions that solve genuine business challenges rather than simply producing reports.

Beyond his technical skills, one of his greatest strengths is his ownership mentality. Once he commits to an outcome, he takes full responsibility for ensuring its successful delivery. He is proactive in identifying risks, resolving issues, engaging stakeholders, and driving work through to completion. He does not simply implement requirements; he challenges assumptions, recommends better approaches, and continually seeks opportunities to improve both the solution and the underlying processes.

His diligence, attention to detail, and commitment to quality are evident in everything he delivers. He consistently goes above and beyond expectations to ensure that solutions meet the highest standards and provide lasting value. He is someone who can be trusted to work independently on complex initiatives while also collaborating effectively across teams and business functions.

Equally importantly, Fab is an excellent colleague and team member. He is approachable, generous with his knowledge, and always willing to support others. He has earned the respect of peers, stakeholders, and leadership through his professionalism, reliability, and consistent track record of delivering results.

I would not hesitate to recommend him to any team or organisation. He combines deep technical expertise in Power BI, Microsoft Fabric, data engineering, analytics, and data management with strong business acumen, accountability, and a genuine passion for delivering outcomes. Any organisation looking for a high-performing data and analytics professional would be fortunate to have him on their team.

Laila Masri

Associate Director, Macquarie

Fab has been instrumental in modernising and automating our reporting. His exceptional knowledge in data warehousing, pipeline architecture, and data modelling enabled an incredible solution that brought together complex data from multiple sources into beautifully visualised dashboards.

Mandy Prowse

Research & Insights Manager · Art Gallery of NSW

Fabricio worked closely with me to create a [Business Intelligence] dashboard to transform our portfolio reporting. The dedication he had for the project shows in the final product, which created much needed definition and structure to our data. I can't emphasise how instrumental this is, both senior management and operational analysts alike depend on it for data visibility, time effectiveness and alignment of critical information. I would recommend any organisation to look into data management and analytics with Fabricio. An investment that will pay dividends.

Sarah Tan

Data Centre Site Acquisition & Development, APAC · ESR / AETED

Working with Fab Solutions transformed how we approach data across our organisation. The dashboards are intuitive, easy to navigate, and provide our teams with a comprehensive view of performance tracked against key metrics.

Sydney Metro

Enterprise Client

Fab delivered a robust data platform that streamlined our entire analytics pipeline. We can now access actionable insights on a daily basis without labouring through manual processes and legacy tools. A true game-changer for our business.

Velocity Frequent Flyer

Enterprise Client

07 · Who builds it

Fab Cardoso, founder of FDX Solutions

Over 15 years of experience. Including data privacy in an audit environment.

Fab Cardoso, founder of FDX Solutions, brings over 15 years in data, BI and now AI, with a background at Big Four firms EY and KPMG. He is experienced in an audit environment for data privacy, and has worked with organisations such as Macquarie, Channel Nine, Velocity Frequent Flyer, Sydney Metro and the Art Gallery of NSW. FDX runs its own business on the same AI team it builds for clients.

08 · How we start

First, we check it fits.

  1. 01

    Book a walkthrough

    30 minutes, free. Tell us how your team uses AI today.

  2. 02

    We look at it together

    Where AI is used, what data is involved and the quick wins.

  3. 03

    You get a clear plan

    The accounts, rules and guardrails your business needs. If it isn't a fit, we'll tell you.

09 · Straight answers

Before we talk.

Will our data be used to train AI?

We select business plans or private deployments that exclude your business data from training under the applicable terms and settings. We check those controls before rollout and explain any exceptions.

Can our data stay in Australia?

Australian hosting is available for suitable private cloud setups. We check the whole service, including processing, storage, connected tools and support access, before making a residency commitment.

Will the agents act on their own?

Only inside the limits you set. Emails, posts, bookings and spending wait for a person to say yes.

Can staff still use their personal AI accounts?

We can't block every app, but we give your team an approved place to use AI and clear rules on what goes in.

Do I need to be technical?

No. You talk to the main agent in plain English. We set up and look after the rest.

We are a small business. Is this for us?

Yes. We can start with one useful workflow and expand when it makes sense. The scope and timing depend on your systems and the data involved.

Which AI tool is best for us?

It depends on your work and existing systems. Microsoft Copilot may suit a Microsoft 365 business. Claude or ChatGPT may fit other workflows. We recommend the setup that meets your needs.

What happens after setup?

You own the accounts, workflows and documentation. We train your team and hand everything over. Ongoing support is optional.

Give your team AI.
Keep customer data private.

Find out where your customer data could be at risk in about 3 minutes. Fab gets back to you to go through your result.

Take the 3 minute AI data privacy assessmentOr book a free 30 minute walkthrough