Board-pack commentary
Draft first-pass monthly commentary from governed measures, with cited drivers and a human review step before anything is sent upward.
Most useful in finance and executive reporting.
AI-native Power BI consulting · Australia
Turn Power BI
Turn Power BI
into a trusted
decision system
Data Disruption helps mid-market teams turn Power BI, Microsoft Fabric, and governed AI into practical decision support: faster month-end commentary, clearer variance explanation, anomaly detection, and leadership Q&A grounded in live business data.
No new BI platform. No vague AI strategy deck. Just governed, auditable workflows that help people ask better questions, explain results faster, and act sooner.
StackPower BI · Fabric · governed AI
Used forCommentary · variance · anomalies · Q&A
Typical buyersCFO · Head of Data · COO
DeliveryFixed-price · governed · human-approved
Variance investigation
Reduce repeated manual slicing across customer, product, region, or site when leaders ask the same “what moved and why?” questions each month.
Designed for trust, not flashy demos.
Operational exceptions
Flag unusual patterns in service, cost, utilisation, or throughput sooner, inside the stack the business already works in.
AI-drafted where useful. Humans sign where it matters.
The problem
You already have the dashboards.
You already have the dashboards.
Why is the team still doing the explaining by hand?
Most teams do not have a reporting problem. They have an interpretation problem.
The numbers are visible. The reports exist. But leaders still rely on analysts to explain what changed, why it happened, whether the answer can be trusted, and what should happen next.
- What changed?
- Why did it move?
- Which products, customers, regions, or sites drove it?
- Is this noise, or the start of a real trend?
- Can we trust what the AI is telling us?
That is the work we target. Not by replacing human judgement, but by making Microsoft data easier to question, easier to trust, and easier to act on.
Common use cases
Specific enough to feel real.
01 / Finance
02 / Operations
03 / Commercial
Specific enough to feel real.
Broad enough to scale.
Finance is often the clearest entry point, but the same underlying problems show up across operations, commercial, and executive reporting workflows.
Where trust and explanation matter most.
- Monthly commentary and variance explanationDraft first-pass board-pack or month-end commentary from governed data, with source-backed answers and faster review.
- Budget vs actual investigationHelp finance teams trace movement in revenue, margin, cost, and mix faster without pulling apart the same report manually every month.
- Forecasting and anomaly detectionAdd forward-looking signals inside existing Power BI workflows so teams can spot issues earlier and act sooner.
From reporting to exception handling.
- Operational exception supportFlag unusual patterns in service, inventory, throughput, utilisation, delays, or cost before they become reporting surprises.
- Daily decision supportGive managers faster answers to questions that usually require analyst help or manual report interpretation.
- Scenario visibilitySupport "what changed, why, and what happens next" conversations inside operational reporting workflows.
Make performance easier to explain.
- Revenue and margin movementExplain performance shifts by customer, product, channel, or region without repeated manual slicing and rework.
- Pipeline and performance reviewMake it easier for leaders to ask plain-English questions across sales and commercial reporting.
- Pricing and mix insightsSurface drivers behind margin changes and commercial performance more quickly and more consistently.
Offers
Four offers.
Fabric Readiness Sprint
Ask Your Data Workflow
Predictive Power BI
Decisions Desk
Four offers.
Fixed price. Published.
No day rates. No "let's get on a call so I can quote you." Every engagement is fixed-scope, fixed-price. Because AI compresses delivery, hourly billing would punish our own efficiency.
01
Fabric Readiness Sprint
Entry point
A fixed-scope engagement to find the model, logic, and governance gaps stopping Power BI and AI workflows from producing trustworthy answers.
You leave with a use-case map, priority fixes, and a practical next-step plan. Read more →
You leave with a use-case map, priority fixes, and a practical next-step plan. Read more →
02
Ask Your Data Workflow
Flagship offer
A grounded AI workflow over your model that helps teams ask better questions, explain results faster, and trace answers back to the underlying data.
Typical use cases include finance commentary, operational exceptions, commercial performance review, and leadership Q&A. Read more →
Typical use cases include finance commentary, operational exceptions, commercial performance review, and leadership Q&A. Read more →
03
Predictive Power BI
Forward-looking support
Forecasting, anomaly detection, and scenario support embedded directly into your reporting workflows.
No separate analytics sidecar. No new environment for users to learn. Just more forward-looking capability where the business already works. Read more →
No separate analytics sidecar. No new environment for users to learn. Just more forward-looking capability where the business already works. Read more →
04
Decisions Desk
Retainer
Ongoing support for teams refining, evaluating, governing, and expanding live decision workflows after launch.
Review, iteration, tuning, and evaluation support as business logic changes over time. Read more →
Review, iteration, tuning, and evaluation support as business logic changes over time. Read more →
Why this is different
Not dashboard volume.
Not dashboard volume.
Not generic AI.
Decision workflow specialists.
Most consultancies are organised around reporting builds, broad transformation programmes, or generic AI experimentation.
We are organised around a narrower and more commercial question: where is your team still spending expensive human time interpreting data that the Microsoft stack should already be helping explain?
- We start with the decision, not the dashboard.
- We work inside the Microsoft stack you already have.
- We focus on trust, proof, and human sign-off.
- We use AI to compress delivery, not to remove accountability.
- We keep engagements tight, commercial, and outcome-led.
What we refuse
- Hourly billing. Fixed scope or no engagement.
- Reports without a named decision behind them.
- AI work that ships without a human signature.
- Black-box IP. You own what we build.
Trust by design
Faster analysis.
Faster analysis.
Named human accountability.
AI can accelerate drafting, analysis, and investigation. It cannot be allowed to quietly invent business logic.
Every Data Disruption engagement is built around governed access, clear definitions, auditable logic, evaluation, and human review before anything important goes live.
AI drafts where appropriate. Humans approve where it matters.
- Governed access to the right data, not an unbounded answer layer.
- Clear ownership of measures, definitions, and business rules.
- Evaluation before trust, not after an embarrassing miss.
- Human review where the business consequence is real.
- Delivery that feels operational, not theatrical.
Worked example
A finance team that stopped writing
A finance team that stopped writing
monthly commentary by hand.
Mid-market logistics · ~$180M revenue · Power BI already deployed
Six analysts. Fourteen days a month. Returned.
A mid-market logistics business had six analysts spending the first two weeks of every reporting cycle writing variance commentary for the board pack — essentially translating Power BI charts back into English, by hand, under deadline pressure.
We built an Ask Your Data workflow grounded in their existing semantic model. It drafts first-pass commentary, flags anomalies, and cites the specific rows behind every claim. Humans still review and sign. But the drafting hours collapsed.
Six analysts got fourteen days a month back — and nobody misses writing variance commentary.
engagement.log
client_size: ~$180M AUD revenue
industry: logistics / 3PL
existing_stack: Power BI Premium, Fabric
offer: Ask Your Data Workflow
duration: 6 weeks
team: 1 × DD lead · 1 × analyst
outcome: ~120 analyst-days / yr returned
adoption: >80% finance team, month 2
trust_model: AI-drafted, human-owned
About
Small,
Small,
specialist,
Australian.
Data Disruption is a boutique Australian consultancy focused on decision workflows in the Microsoft ecosystem.
Led by a Melbourne-based Power BI and commercial analytics specialist with 10+ years across reporting, decision support, and stakeholder-facing delivery.
No bloated delivery teams. No offshoring. No giant deck before the real work starts. You work directly with the person accountable for the work.
Australian deliveryPower BI + Fabric specialistHuman-approved outputs
The stack has changed. Reporting workflows need to change with it.
Show us the decision
that still takes too long.
If your team is still spending too much time explaining numbers that are already in Power BI, we should talk. Bring the workflow, the reporting pain, or the trust issue, and we will tell you quickly whether this is a real fit.
Book a 45-min fit call
Or email admin@datadisruption.com.au