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START HERE
AI Safe-Use Setup
Clear rules, checks and training for the AI your team already uses. For owner-led firms of 5–50 people that handle client or patient information.
Fixed fee · Written down · No lock-in
We align AI before we activate AI.
Your team is probably already using AI. We put clear rules, checks and training around it, then tell you where it will pay, where it won’t, and what to do first.
If something isn’t ready for AI, we tell you.
Training your team instead? Practical AI skills for everyday work →
WHERE TO START
NEXT STEP
Reality Check Lite
One workflow, walked through with the people who do the work, and a GO, NOT YET or NO-GO for every step.
FOR YOUR PEOPLE
Team learning
Practical AI skills for everyday work, from a half-day Foundations session for 8–16 people to two hours for leaders.
Other work, on request: a multi-workflow Reality Check, pilot-to-production builds, a fractional Head of AI and longer learning programmes. See all services →
LATEST SOLUTION DELIVERED · OCT 2026
Code calculates. AI explains. The accountant decides.
Quarter-end BAS checks, down to the exceptions
A small Australian accounting practice checked every client’s lodged BAS and IAS against Xero by hand. We built the tool that now does the checking, so only the exceptions reach the accountant.
- Code reconciles G1, 1A, 1B, W1 and W2 in integer cents, for the period and year to date
- A read-only Xero investigator explains a GST difference only when the transactions add back up
- A model on the accountant’s laptop drafts notes; the accountant decides and signs off
First real client-quarter ran end to end on 11 October 2026. The Xero investigator has so far been tested on invented data.
01 / THE PROBLEM
Everyone has AI. Almost nobody has returns.
Most mid-sized Australian organisations are already using AI - a note-taker here, a Copilot licence there, a pilot that never left staging. The Reserve Bank describes adoption as piecemeal; Deloitte found only 12% of Australian organisations are getting transformation-grade value from it, against 25% globally.
The problem isn't access to AI. It's that nobody will tell you which of your workflows it will actually pay for — and which it won't.
Sources: RBA Bulletin, Nov 2025 · Deloitte, State of AI in the Enterprise 2026
AI VALUE REALISED — SHARE OF ORGANISATIONS
AUSTRALIA12%
GLOBAL25%
Organisations reporting transformation-grade value from AI.
Deloitte, State of AI in the Enterprise
02 / HOW WE JUDGE AI USE
Four steps; no gut feels.
01 / AUDIT
The real system, mapped
02 / SCORE
Every use case, ranked
03 / ROADMAP
Sequenced by unlock conditions
04 / BUILD
Working software, behind gates
- 1
Audit
We start from how the work actually gets done: the real tools, templates and handoffs, with client data hidden or de-identified. Never a generic maturity model.
- 2
Score
Every candidate use case is scored on value, complexity and readiness. Enthusiasm doesn't move the numbers.
- 3
Roadmap
You get a sequence with unlock conditions, not calendar promises. Some things can be done at the same time; Some things wait until their dependencies are done.
- 4
Build
Working AI behind explicit gates, measured against a baseline. If it stops earning its place, we stop and tell you.
03 / WHY US
A new firm, and honest about it
Ossama spent 10 years building AI and data systems inside Big 4 Banks, State and Federal Governments, and Not-for-Profit Orgs. We built No Fluff AI because too much of what's sold as AI transformation is a deck, a pilot left in purgatory, and an invoice with unclear ROI.
We're new, senior-led and Sydney-based. You'll work with the person whose name is on the report - no leverage pyramid, no offshore handoffs. And because we're new, our first clients get our most senior attention at our sharpest pricing. We're building a reputation, and reputations in AI are built on verdicts that turn out to be right.
Meet the founder →TESTIMONIAL
“The team understood the value of our Campaign Builder quickly. They treated it as a strategic asset, not just a spreadsheet.
Their discovery work gave us a clear roadmap for Campaign Intelligence, with quick wins, data foundations, and realistic AI ambition.
They also challenged us where it mattered, especially on feedback loops and data quality. The result felt practical, credible, and easy for our Strategy and Commercial teams to adopt.”
Ahmed Khan
Strategy & Performance Manager | UNiDAYS
04 / FIT
Who this is for
FOR
Owner-led Australian firms of 5–50 people that handle client or patient information, such as accountants, clinics, pharmacies and law firms, with leadership that wants the truth about AI before spending on it.
And teams whose people need practical AI skills, from complete beginners to regular users.
NOT FOR
Enterprises wanting a big-program partner ecosystem; teams that only want a cheerleader; anyone looking for AI only to sound nice on paper.
05 / NEXT
In our first engagement, a third of the use cases we scored moved to the ‘Don’t Build’ side.
Find out which side yours are on.
Training your team instead? Explore practical AI skills for everyday work →