How to Choose the Right AI Solution
A practical guide to evaluating AI vendors, comparing build vs buy options, and making smart decisions about AI for your Ontario business.
Build vs Buy: Which Is Right for You?
Compare custom AI development with SaaS platform options
Custom AI Development
Advantages
- Tailored exactly to your workflows
- Full ownership of the solution
- No per-seat or usage fees
- Deep integration with existing systems
- Competitive advantage through differentiation
- Complete control over data handling
Considerations
- Higher upfront investment
- Longer implementation timeline
- Requires ongoing maintenance relationship
- Need to clearly define requirements
Complex workflows, compliance requirements, unique business processes, long-term cost optimization
SaaS AI Platforms
Advantages
- Quick to deploy
- Lower upfront cost
- Vendor handles updates
- Predictable monthly pricing
- Minimal technical requirements
Considerations
- Monthly fees add up over time
- Limited customization options
- Vendor lock-in risk
- Data leaves your control
- Generic experience for customers
- Per-seat pricing gets expensive
Simple use cases, small teams, quick pilots, limited budget for upfront investment
Vendor Evaluation Criteria
What to assess when comparing AI solutions
Technical Capabilities
Security & Compliance
Vendor Reliability
Cost Structure
Red Flags to Watch For
Warning signs when evaluating AI vendors
Frequently Asked Questions
Common questions about choosing AI solutions
Should I build custom AI or use a SaaS platform?
It depends on your needs. Custom AI makes sense for complex workflows, compliance requirements, or when you want full ownership. SaaS platforms work for simple use cases or quick pilots. Most businesses benefit from custom solutions long-term due to better fit and lower ongoing costs.
How much should I budget for AI?
Custom AI has an initial development investment, while SaaS platforms charge ongoing per-seat fees. Custom AI typically offers better long-term value since you own the solution outright. Contact us for a personalized quote and ROI analysis.
What questions should I ask AI vendors?
Key questions: Where is data stored and processed? What security certifications do you have? Can I see references in my industry? What does total cost look like as I scale? How do you handle integrations? What happens if I want to leave?
How long does AI implementation typically take?
Simple implementations: 2-4 weeks. Moderate complexity with integrations: 6-8 weeks. Enterprise deployments with compliance requirements: 3-6 months. Be wary of vendors promising complex implementations in days.
What if the AI does not work well for my business?
Good vendors offer pilot periods, satisfaction guarantees, or phased implementations. Avoid long-term contracts until you have proven value. Ensure your contract includes performance expectations and remedies if they are not met.