Questions Every CTO Should Ask Before Signing
It starts with asking the right questions before development begins.
Define the business goal first. Then set measurable ROI and decide whether AI is truly the right solution.
Audit data quality, volume, silos and biases. Even advanced AI can fail when the data isn’t ready.
Ask about models, integrations, security, scalability and performance monitoring. The architecture needs to work beyond the prototype.
Ask for relevant projects, case studies and references. Also check their development methodology and post-launch support.
Factor in cloud hosting, APIs, data preparation, MLOps and ongoing maintenance. AI costs continue after launch.
Discuss data privacy, regulatory requirements, bias, explainability and human oversight before development.
- Who owns the IP? - How is success measured? - How is your data isolated? - What’s the exit strategy?
The right questions can reduce risk before your AI project begins.
Check the full WeblineIndia blog for the complete CTO checklist.