Build vs. Buy AI
One of the most critical decisions in AI implementation: should you build custom solutions or leverage existing platforms? Here's a framework to help you decide.
Build Custom
Develop bespoke AI solutions tailored to your specific needs, data, and processes.
Full Customization
Tailor every aspect of the solution to your exact requirements and workflows.
IP Ownership
Own the intellectual property and have complete control over the codebase.
Competitive Moat
Create unique capabilities that competitors cannot easily replicate.
Buy Platform
Implement existing AI platforms and solutions that can be configured to your needs.
Faster Time to Value
Deploy in weeks instead of months with pre-built, proven solutions.
Lower Initial Cost
Avoid the significant upfront investment of custom development.
Proven & Tested
Benefit from solutions that have been refined across many deployments.
Side-by-Side Comparison
| Factor | Build | Buy |
|---|---|---|
| Time to Deploy | 6-18 months | 2-8 weeks |
| Initial Investment | $200K-$2M+ | $20K-$200K |
| Ongoing Costs | Team + Infrastructure | License + Support |
| Customization | Unlimited | Within platform limits |
| Maintenance | Full responsibility | Vendor managed |
| Risk Level | Higher | Lower |
| Scalability | Depends on architecture | Built-in |
Decision Framework
Build Custom AI When:
- AI is core to your competitive advantage
- You have unique data or processes that off-the-shelf solutions can't handle
- You need deep integration with proprietary systems
- You have the budget and timeline for custom development
- You can attract and retain AI talent long-term
Buy Platform Solutions When:
- You need to move quickly and prove value
- Your use case aligns with existing solutions
- AI is an enabler, not a core differentiator
- You want predictable costs and vendor support
- You don't have in-house AI expertise
Consider a Hybrid Approach When:
- You need quick wins plus long-term differentiation
- Some processes are standard, others are unique
- You want to start with platforms and evolve to custom
- You need flexibility to adapt as requirements change
- Budget allows for both approaches over time
The Dynode Approach
We help you navigate the build vs. buy decision with objectivity. Our team evaluates your specific needs, constraints, and goals to recommend the right approach—whether that's custom development, platform implementation, or a hybrid strategy.