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Unlock Practical AI for Your ERP System

Proven architectures, real use cases, and hands-on implementation guidance to improve forecasting, automation, and operational insights.

For CFOs, CIOs, CEOs, and Finance/Operations leaders ready to execute on AI.

  • Implement working AI enhancements in 4–8 weeks, not years
  • Integrate AI with your ERP without rewriting your core system
  • High-impact use cases: forecasting, invoice automation, anomaly detection

Why This E-Book Matters

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The AI Gap in ERP Is Real

ERP vendors are increasingly talking about “embedded AI,” but most of those capabilities are generic, limited, or not yet production-ready. Meanwhile, leaders are under pressure to improve forecasting accuracy, reduce manual work, and unlock operational intelligence now.

This e-book shows how to add a practical AI layer to your ERP that delivers value quickly and predictably, without waiting on vendor roadmaps or complex rewrites.
  • Speed to Value: Proof-of-concepts in weeks, not quarters
  • Custom Logic: Tailor AI to your data, document types, and business rules
  • Control & Cost: Choose cloud APIs, hybrid setups, or on-prem models
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What You’ll Learn

Integration Architectures

Clear, step-by-step patterns for connecting AI with ERP systems, side-by-side services, broker hubs, and ERP addons.

High-Impact Use Cases

Forecasting cash flow, sales and anomaly detection that deliver measurable business value.

Automation & Intelligence

Automating document processing (invoices, receipts) and operational insights with confidence scoring and human-in-the-loop fallbacks.

Inside the E-Book

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What’s Inside

  • The ERP AI gap and why it persists

  • Three proven integration patterns

  • Forecasting and predictive analytics frameworks

  • Invoice extraction with scoring and validation

  • Operational intelligence dashboards

  • A realistic roadmap: diagnostic → PoC → pilot → scale

  • Build vs cloud vs partner decision criteria

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About the Authors

Frederico Vicente Image

Frederico Vicente

Co-founder & Head of AI
Where he leads the design and development of advanced AI systems that empower businesses to innovate and scale responsibly.

With a strong background in Machine Learning and Distributed Systems, Frederico bridges academic research and real-world implementation, specializing in Federated Learning, Physics-Informed AI, and secure model optimization. His mission is to make AI practical, ethical, and impactful for organizations navigating digital transformation.

Miguel Vicente Image

Miguel Vicente

Founder and Managing Partner of Dypsis AI, where he guides companies through AI-driven transformations to optimize Business Strategies, models and performance.
With extensive experience in business strategy, digital marketing, and AI-powered sales enablement, Miguel helps organizations leverage AI to drive revenue growth, enhance customer engagement and optimize operations.