Pattern Chaser · Audit Analytics Newsletter

Stop auditing history.
Start seeing risk before
it hits the board.

A weekly audit analytics briefing for internal auditors who want to find what sampling misses.

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Early Warning
Not late surprises
Spot Sooner
Pattern detection
Pattern Chaser
Audit Analytics Signal
This One Number Is Quietly Bleeding Your Budget

Spend data reveals patterns interviews never will.

  • Why timing beats amount in spend analysis
  • The vendor clustering pattern most teams miss
  • One number that changes how you audit
Pattern Found
Most teams track spend. Few track timing. The gap is where the problem hides.
Aha Moments Weekly
Pattern Chaser
Signal, Not Noise
Act smarter

FTSE 100 Internal Audit · Big 4 EQA Matured · 7 Countries
Read by leaders from

What people are saying

“Tony is a genuinely supportive, growth-minded person who’s never afraid to roll up his sleeves and get stuck into the data himself. I’m still using those skills every day, even though I’m now in a completely different role.”

Thahid Ullah

Thahid Ullah

Market Data Analyst, M&G plc

“He has a rare talent for breaking down complex auditing concepts into easily digestible insights. Tony is truly one of the most impactful managers I have had the privilege of working with.”

Ifeoluwa Olagbaju

Ifeoluwa Olagbaju

AI/ML & Audit Analytics, Quilter

“Nobody was talking about using R or machine learning in our space. Tony was already building it. Not because someone asked him to. He could see the gap and fixed it himself.”

Alex Issac

Alex Issac

Associate Director, UBS

How I Can Help

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Pattern Chaser Newsletter

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[ta_newsletter]

Tony Abraham

About Me

Hey, I’m Tony.

You sat through the conference.

Got the slides. Had the half-conversation with someone who sounded impressive. Came back to your desk with a PDF you’ll never open and a vague sense that everyone else has figured this out and you haven’t.

You haven’t been failed by your effort.

The people selling you the answer have never had to live with it.

I spent nine years doing the actual work. Not presenting it. Doing it. On real data. Real populations. Real findings that had to hold up in front of people who pushed back hard.

I grew a team around that work. We built something others came to benchmark against. Not because we were clever. Because we stayed in the data long enough to know what actually works.

That’s what I share here.

Not what’s possible. What I’d actually do: on your data, with your constraints, in your team.

17 Years in
data science
9 Years leading FTSE 100
audit analytics
Matured Big 4 EQA
assessment

The briefing your audit team won’t send you.

Analytics techniques from nine years leading audit analytics at FTSE 100. Free, every Tuesday.

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