Avoid the build vs. buy trap that’s stalling AI projects
90% of enterprise data is unstructured — locked in invoices, contracts, emails, and forms. While teams experiment with models and proof of concepts, stakeholders are demanding results and industry leaders are automating at scale.
The challenge: Every organization’s needs differ. Some need custom solutions for competitive advantage. Others require rapid deployment across common workflows. Most need a balanced approach.
The decision isn’t simple: Most teams start with assumptions about which path is “obviously” right — then discover hidden complexities that change everything. Document variety, technical requirements, cost models, and strategic importance all factor into the equation differently than expected.
The stakes are high: The wrong choice means months of lost time, budget overruns, or solutions that don’t scale.
What You’ll Take Away:
- Understand the technology behind AI-powered document understanding
- Apply an objective decision framework with clear criteria
- Evaluate technical requirements for both approaches
- Avoid the challenges of developing, maintaining, and scaling home-grown systems
- Learn why enterprises choose platforms like AI Hub
Download your decision framework now