Grand Thera Partnered with BTG Pactual to Discuss AI Applications and Financial Impact for Business Leaders

A joint session with BTG Pactual hosted by ACIP and CDL Pomerode, focused on real-world AI deployment for business leaders.

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About the Event

• AI in Practice for Decision Makers”, a business-focused session hosted by ACIP and CDL Pomerode, bringing together regional executives and entrepreneurs.

  
  

• Delivered jointly by Grand Thera and BTG Pactual, connecting financial strategy, applied AI, and operational execution.
  

The Market Context

While AI adoption accelerates, many business leaders face uncertainty regarding practical implementation and long-term value creation.

• Inflated expectations surrounding generative AI

• Limited clarity on integration between AI and financial strategy

• Fragmented data environments reducing execution capacity

• Difficulty translating AI experimentation into measurable business outcomes
  

The event provided a pragmatic framework for aligning AI initiatives with financial and operational impact.

Grand Thera Participation

Grand Thera contributed a structured, execution-oriented perspective on applied AI in enterprise environments.

• Presented concrete cases of predictive maintenance, churn prediction, and dynamic pricing in regulated industries

• Demonstrated how fragmented ERP and CRM environments were consolidated into decision-grade intelligence systems

• Showed practical applications of AI for operational allocation optimization in healthcare and logistics

• Illustrated probabilistic modeling for financial risk control and investment decision support

• Explained how AI architectures were deployed to automate diagnostics, retention strategies, and executive reporting
  

The session focused on how AI transitions from experimentation to measurable operational and financial impact through structured implementation.

Contribuition to the Ecosystem

The event delivered actionable guidance to executives and entrepreneurs seeking to implement AI responsibly and effectively.

• Reframed AI adoption around measurable operational and financial outcomes

• Demonstrated how APIs, automation, and structured data integration create durable competitive advantage

• Positioned traditional Machine Learning and advanced analytics as foundational layers alongside GenAI

• Connected AI strategy directly to capital efficiency, margin expansion, and operational performance

• Encouraged disciplined implementation grounded in architecture rather than isolated experimentation

  
  

Participants left with a clearer framework for transforming AI from isolated initiatives into integrated, value-generating business systems.

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