I Help Corporate Professionals Gain Career Clarity & Fulfillment | Founder @Amplify Your Home | Global AI Tax Copilot Strategist @EY

Don't be fooled by my appearance. Quiet, Asian, tiny girl.

In the last decade, I've...

Successfully navigated the corporate giants: Goldman Sachs, PwC, Deloitte and EY.

Built communities, tax and financial models, and automations. (Excel wizard here)

Empowered employees to own their damn careers,

Challenge their norms to do something special.

That's when Problems become Opportunities,

Strategies into Actions.

You are not Alone.

Ready to redefine your career? Let's make it happen.

Mary Fung

Something quiet is happening inside Big 4 consulting.

They’re not just “adding AI.”
They’re changing who they hire, who they promote, and who they quietly stop needing.

For decades, consulting ran on leverage:
armies of smart doers grinding slides, models, and research.

AI just ate that layer.

Now firms want fewer doers
and more people who can:
• frame the problem
• judge tradeoffs
• tell the story
• own the recommendation

Which sounds empowering… until you realize what it means.

If your value was execution,
AI just made you optional.

If your value is judgment, synthesis, and client trust,
you just became more valuable than ever.

That’s the uncomfortable shift most consultants haven’t internalized yet.

The firms will adapt. They always do.
The question is whether the people inside them will.

AI isn’t coming for “jobs.”
It’s coming for roles built on repetition and polish.

And the people who don’t move up the value chain
won’t get a second warning.

This isn’t a future-of-work thought experiment.
It’s already showing up in who gets staffed — and who doesn’t.

Own Your Damn Career | Founder @Amplify Your Home | Head of Synthetic Data & Simulations @EY

No one tells you this,
but the higher you climb, the less you build.

You spend less time solving problems,
and more time defending decisions.

Meetings replace momentum.
Politics replace progress.
Justifying replaces creating.

By the time something ships,
you’re too drained to enjoy it.

You didn’t lose your passion.
You just buried it under decks, updates, and “alignment calls.”

At some point, you have to ask:
Am I managing outcomes,
or managing theater?

The consultant's dilemma: build vs. advise.

I've been on both sides.

As an advisor:
• You recommend the best solution
• The client nods enthusiastically
• You leave with a fat invoice
• The recommendation dies in a drawer
• You're hired again next year to 'refresh the strategy'

As a builder:
• You recommend the best solution
• Then you have to make it work
• Every shortcut comes back to haunt you
• Success is measured in production, not slides
• If it fails, you own it

The industry has an advice surplus and an execution deficit.

Every company has a strategy deck. Very few have working AI in production.

The consultants who win long-term are the ones who cross the line. Who stay for implementation. Who put their name on outcomes, not just recommendations.

'We advised them' is worthless if nothing shipped.

The market is figuring this out. Clients are tired of paying for slides. They want results. The firms that adapt will thrive. The ones that don't will wonder why revenue is flat.

My advice to consultants: learn to build. Not just 'understand' technology. Actually build things. Your credibility depends on it.

People ask why I’m okay sharing my “secrets.”

Why I teach everything I know.
Give away resources.
Tools.
Playbooks.

Because you can copy the output but
you can’t copy the process.

You won’t have my judgment.
My taste.
My reps.
My scars.

If sharing makes you afraid,
you were never the edge.

My DMs are full of vendors pitching AI tools. Every. Single. Day.

'Hi Mary, saw you're in AI - would love 15 minutes to show you how we're revolutionizing [thing].'

I counted last week: 23 vendor pitches. All 'AI-powered.' All claiming to be different.

Here's what I've learned:

> If your pitch starts with 'AI-powered,' I'm already tuning out. Everyone is AI-powered now. That's not a differentiator.

> If you can't tell me the specific problem you solve in one sentence, you don't know what you're selling.

> If your demo requires 'ideal conditions' to work, it won't survive my enterprise environment.

> If you're comparing yourself to ChatGPT, you've already lost. That's table stakes.

To the founders reading this:

I'm not anti-vendor. I'm anti-noise. Tell me what you do, who it's for, and what it actually costs. Skip the AI buzzwords. Win my attention with clarity.

That's it. That's the secret.

TCS just paid $700M for Coastal Cloud, a Salesforce consultancy. Becoming a top-5 Salesforce partner globally.

Why should you care about a consulting M&A deal?

Because it signals where the big players think enterprise AI is actually going.

TCS COO said the quiet part out loud: 'advancing our AI-led transformation agenda' through Salesforce expertise.

Not building custom AI. Not launching a foundation model. Embedding AI into the platforms enterprises already use.

This is the enterprise AI playbook that actually works:

1. Meet customers where they are (existing platforms like Salesforce)
2. Integrate AI into workflows that already exist
3. Don't ask enterprises to rip and replace - enhance what they have

The AI startups trying to replace Salesforce should be nervous. The big consultancies are betting that AI's value comes from integration, not disruption.

$700M is a lot of conviction in that thesis.

What Big 4 AI people know that tech companies desperately need.

I've worked with both worlds. Here's what Big 4 people have that tech often lacks:

1. Governance fluency. We know how to get AI approved, not just built. Tech companies build amazing products that die in procurement. We know the 47 stakeholders who can say no.

2. The 'no' navigation skill. Every enterprise has blockers. Legal. Compliance. Risk. Security. IT. We've learned to map them, sequence them, and neutralize them one by one.

3. Executive translation. We can explain transformer architecture to a CFO without their eyes glazing over. We speak business value, not technical capability.

4. Scope discipline. Tech wants to boil the ocean. We've learned that shipping a smaller thing that works beats a bigger thing that never launches.

5. Documentation-as-strategy. Tech sees docs as a chore. We see them as the approval pathway. Good documentation is how you scale without being in every room.

6. Political patience. Enterprise deals take 18 months. We know how to keep momentum through leadership changes, budget cycles, and priority shifts.

The best AI teams in 2026 won't be pure tech or pure consulting. They'll be hybrids who can build AND navigate.

The “AI experiment” phase is over.

New data out of Wharton shows 75% of companies already see positive ROI from AI.

Less than 5% see negative returns.
Nearly half of business leaders use AI daily themselves.

That matches what we see on the ground.

This isn’t about prompts anymore.
It’s not “improve this email” or “summarize this doc.”

That was Phase 1.

Phase 2 has started and it’s bigger:
• “Solve this customer’s problem”
• “Handle this contract end-to-end”
• “Optimize CSAT”
• “Run this workflow”

AI is moving from accelerating steps to owning processes.

And that’s when productivity actually compounds.

The companies still stuck debating pilots and guardrails are about to feel very behind, not because AI is new, but because process always beats tools.

We’re just exiting the first act.
The second one is about systems, not shortcuts.

And once AI is embedded in how work flows - not how tasks are typed - there’s no going back.

What a time to be alive!

AI isn’t failing because it’s complicated.
It’s failing because no one owns it.

McKinsey’s data says it all -
most companies have no dedicated AI teams, no incentives, no feedback loops, no accountability.

Everyone wants the upside of AI.
No one wants to take responsibility when it breaks.

This is the corporate paradox:
You can’t automate what you refuse to own.

Until enterprises stop treating AI like an experiment and start treating it like infrastructure,
95% of “pilots” will keep dying in PowerPoint.

What Executives Get Wrong About GenAI:

> They think it's plug and play. 'Just add AI to our existing processes.' That's like adding a jet engine to a bicycle and wondering why it doesn't fly.

> They underestimate the data problem. Your AI is only as good as your data. And your data has been accumulated across 47 systems with no consistent formatting for 15 years.

> They expect immediate ROI. GenAI is infrastructure, not a feature. You don't ask 'what's the ROI on electricity?' You ask 'what can we build now that we have power?'

> They compare themselves to tech companies. Google has 10,000 ML engineers. You have Dave who took a Coursera course. Calibrate expectations accordingly.

> They skip the change management. The AI works. Your employees are terrified it will replace them. Guess which problem kills your project?

> They buy platforms before defining problems. 'We need an AI strategy' leads to expensive enterprise licenses collecting dust. Start with 'we waste 400 hours/month on X.'

I wish I could ask Copilot about a meeting I forgot to record.

Here's the trap:

> Option 1: 'Only during the meeting' - Copilot uses temporary speech-to-text. Meeting ends, data deleted. You can't ask questions later.

> Option 2: 'During and after' - Requires saving the full transcript. Now you have retention, compliance, and legal implications.

There's no middle ground.

Missed the meeting? Too bad. Forgot to enable transcription? Too bad. Your organization restricts transcript storage for compliance? Too bad.

What I wish existed:

> A 24-hour summary window. Copilot gives you the highlights, then the raw data is deleted.

> Personal-only transcripts that don't create discoverable records.

> Retroactive summary requests. 'I was in a meeting at 2pm, can you recap?' should work.

> Graceful degradation. If full transcript isn't allowed, at least give me action items.

The 'catch up on meetings I missed' use case - the one Microsoft demos constantly - only works if someone remembered to hit record.

That's not AI. That's a tape recorder with extra steps.

Manager

Virtusa

Senior Manager

Finance and digital transformation projects, enabling real time data analytics and implementing SAP Planning/Forecasting application (EPM)

KPMG US

Implemented SAP BW/Web Portal solutons for Mexico and Brazil for KPMG

Senior Consultant

AmerisourceBergen

Overview
• Working on retirement project of Legacy dataware house solution build on Mainframes
• Replacing old interfaces with SAP BW backend based interfaces that will yield same quality of information with out disrupting Customer's solutions 
• Revaluating and Replicating Business process with changed Billing and Pricing conditions 
• These Customer file feeds provides vital information to Customer, partner and will help ABC keep the track of Order and Billing system.  Which in turns helps in improving service level agreements


Technical Responsiblites 
• Providing Solutions to business problems, configuring current SAP Landscape in accordance to there need to serve business users better
• Building Solutions, Architecting, Blue printing, Coordinating and Developing the all the objects
• Coordinating as Techincal Lead in SAP BW/BO
• Expertise in working in Onsite - Offshore model

SAP BW Solution Architect

L&T Infotech

Overview:-
Worked as Project Lead and SAP BW Solution Architect for a Major and Vital "Market Spending and Analysis" project under a Finance Mangement Reporting Program

•	Responsible for estimating Time, Cost and Resource involved in a project
•	Preparation of SOW and Managment Summary Report including key financial metrices which talks about health of project
•	Responsible for Correct and Timely delivery of the project
•	Responsible for Architecting SAP BW solution based on Customer inputs
•	Managing and Coordinating Onsite and Offshore team to make sure work is done on time
•	Responsible for transition project to Support team for further life cycle of project

SAP BW Project Lead

Tata Consultancy Services

Overview:-

•	Worked as a SAP BW Developer and developed SD, MM, PP and FI related domain Reports

•	Deploying the solutions over SAP BO Platform using WEBi, Excelsius reporting tools using universe as a semantic layer.
 
Reports Build:-

Finance Module
•	Balance Sheet, P&L Report, EBIDTA and FAS52 Reports used for Month, Quarter and Year end Business consolidation 
 
Sales and Distribution Module
•	Sales Order and  Order Backlog (billing and delivery) 

Inventory Module
•	Stock Analysis and Re-ordering point analysis report

Cross Module
•	PERIODIZATION Report: This report includes PS, SD, FI and COPA based datasource and data targets.

SAP BW/BO Developer

NEXGEN TECHNOLOGIES LLC

Over view:-
Worked for an internal/In house SAP BW Application majorly based on Financial Reporting

Technical Responsiblities:-
Developing custom Reports
Montioring Process Chains
Developing SAP BW Related objects
Handling Customer ticket

SAP BW Developer

15+ years of dynamic leadership in technology consulting, spearheading financial and digital transformation initiatives for industry leaders. A proven SAP S/4 HANA Finance and Data & Analytics expert, I've directed cross-functional teams through the successful implementation of enterprise reporting and analytics solutions, achieving multi-million-dollar revenues.

I've orchestrated the adoption of GAAP/LDTI accounting standard changes, enabling clients to navigate regulatory shifts seamlessly. I've driven efficiency gains, such as automating complex reconciliations and streamlining investment reporting for significant savings. My expertise extends to SAP Enterprise Performance Management, where I've led the development of cutting-edge solutions for the Insurance domain.

Recognized for pioneering innovative technology solutions, I've integrated real-time analytics with SAP HANA, BTP, Datasphere, Data warehouse and SAC, delivering tangible insights for informed decision-making. As a proactive contributor, I've played a key role in market expansion and the launch of award-winning Industry Cloud applications.

With a track record of managing global teams and overseeing full project lifecycles, I bring strategic vision and tactical execution to every endeavor. I thrive on mentoring and motivating teams while consistently delivering value that aligns with business goals.

Let's connect to explore synergies and collaborate on driving strategic technology transformations.

taplio

The Battle

Mary Fung

Muffazzal F.

Followers

Posts

Engagements

Likes

Performance ScoreMary Fung's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Mary Fung

Muffazzal F.

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Mary Fung's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreMary Fung's LinkedIn Performance