🔎Summary
- Build → Maximum control, longer development, competitive advantage.
- Buy → Faster deployment, lower initial cost, but customization trade-offs.
- Add Low Code → Speeds up AI development, reduces technical dependency, but may limit advanced customization.
📦 Buy Your AI Agent
✅ Pros:
- Quick Implementation—pre-built AI solutions for immediate use.
- Lower Initial Investment—no need for deep AI development expertise.
- Ongoing Vendor Support—maintenance, compliance, and updates included.
❌ Cons:
- Limited Customization—predefined AI capabilities may not match business needs.
- Vendor Lock-in—pricing changes and feature limitations.
- Security Considerations—data privacy risks with externally hosted solutions.
⚡ Buy a Low-Code AI Solution
✅ Pros:
- Configurable AI workflows—business users can tweak solutions without coding.
- Fast Deployment compared to full SaaS AI solutions.
- Scalability & Support with vendor-managed updates.
❌ Cons:
- Customization Trade-offs—full AI model control may be restricted.
- Subscription Costs—pricing scales as usage increases.
- Reliance on Vendor Ecosystem—limited flexibility beyond platform constraints.
🔧 Buy a Traditional AI Solution (Without Low Code)
✅ Pros:
- Ready-to-use AI with tested industry applications.
- Lower setup complexity—no development required.
- Vendor-managed security & compliance.
❌ Cons:
- Less adaptability to specific business needs.
- Higher long-term costs with licensing and subscriptions.
- Potential vendor dependency for continued feature access.