Heath Ahrens

Deloitte's AI just exposed a devastating truth:

Their systems process 166x more data, cut costs, and boost output by 40%.

Not because they built better technology.

But because they discovered why humans can't compete anymore: 🧵 

The Big Four accounting firms have invested billions into agentic AI.

Deloitte reported that its AI-powered finance agents reduced costs by 25% while increasing productivity by 40%.

The most remarkable discovery? 

Agentic AIs can plan, execute, and adapt to changing circumstances.

These systems leverage large language models, reinforcement learning, and multi-agent frameworks to perform workflows across enterprise environments.

The implications for financial services are profound. But what exactly can these AI agents do?

Agentic AI scale data analysis.

Human analysts process 20-30 transaction data points before fatigue sets in, AI agents analyze 5,000+ data points in milliseconds.

Transforming fraud detection, risk assessment, and portfolio optimization.

But the revolution doesn't stop there: 

Deloitte's "Zora AI" platform is cutting-edge.

Built on NVIDIA tech and integrated with enterprise systems, Zora handles workflows across the finance lifecycle... 

• Working capital optimization
• Compliance monitoring
• Expense management
• Sales analysis

The results are fascinating: 

They can automate tasks and make complex decisions with minimal human oversight.

This autonomous capability marks a shift in how financial work is performed.

Beyond automation, these AI agents possess advanced decision-making capabilities...

They can adjust risk thresholds based on changing factors while rebalancing investment portfolios.

Adapt to evolving fraud tactics and monitor market conditions in real time.

Making sure they are regulatory compliant.

AI agents are transforming humans, not eliminating them:

At Deloitte, finance professionals now focus on strategic analysis and client relationships.

AI handles data processing and routine tasks.

This shift is creating new job categories that didn't exist before... 

• AI-human interface designers who create collaborative workflows
• Ethical framework developers who ensure responsible AI use
• AI monitoring specialists who ensure agent performance
• AI prompt engineers who optimize AI agent instructions

The implications extend far beyond accounting:

51% of organizations are exploring using AI agents, with 37% already in the pilot stage.

This adoption reflects the transformative potential of AI tech across industries.

We're witnessing a reimagining of knowledge work. But it doesn't come without challenges...

• Regulatory scrutiny regarding AI's role in financial decision-making
• Large language model accuracy issues
• Potential algorithmic biases
• Data security concerns

The Big Four's use of agentic AI shows the future of work isn't about replacing humans but augmenting them: 

The most effective organizations will strategically integrate AI capabilities with human skills like creativity, empathy, and strategic thinking.

This hybrid approach maximizes efficiency and innovation.

The tech used by the Big Four today will soon transform all businesses.

Follow me, @heathahrens for frameworks &amp; future tech predictions to stay 5 steps ahead.

A bit about me:

I built tech powered by voice before Alexa existed.

Now I help founders spot AI opportunities others miss.

If you found this thread helpful:

1. Follow me @heathahrens for more.

2. RT

Video credits:
• YT link https://youtu.be/-pqzyvRp3Tc?si=6NA9_bNqIzg3Hc6n
• YT link https://youtu.be/dewbIu_yisI?si=lCFP3AEgs_ENRrSP
• YT link https://youtu.be/hQX_wIW9Nh0?si=Z9uyONF6vOrUxpBV
• YT link https://youtu.be/AnVlFs-P0WQ?si=XZVdzKgzO0zwCZ2V