AI Outsourcing · 1 minute read
Questions to Ask an AI Development Company
Before hiring an AI development company, ask about production systems they shipped and maintain, their security and compliance posture, how they scope and run projects, communication and time-zone overlap, IP ownership, and knowledge transfer. Strong answers are specific and reference real work; vague ones are a warning sign.
The right questions separate an AI company that ships production from one that demos well and delivers little. Here is the checklist to bring to every conversation.
Production track record
- "Show me a system you shipped to production and still support."
- "What broke, and how did you handle it?"
- "Can I speak to a reference client?"
This is the single most revealing area—see how to choose an AI development company.
Security and compliance
- "How do you handle data access, residency, and secrets?"
- "What is your experience with my industry's compliance?"
- "How do you audit and log activity?"
See data security in offshore AI.
Process and communication
- "How do you scope and run a project?"
- "What time-zone overlap do you commit to?"
- "How often will I see working software?"
IP and knowledge transfer
- "Who owns the code and IP?"
- "What does handoff include, and when is it designed?"
Reading the answers
| Good answer | Warning sign |
|---|---|
| Specific, referenced | Vague, buzzword-heavy |
| Discusses failures | Only talks capabilities |
| Names trade-offs | Promises everything |
See the red flags when outsourcing AI.
Why FISTA
FISTA Solutions answers each of these with specifics—production references, security discipline, US-hours communication, IP assigned to clients, and knowledge transfer by default—backed by 150+ projects across 12+ countries.
Ready to start the conversation? Talk to FISTA.
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Clear answers
Questions raised by this field note.
Straightforward guidance for evaluating scope, fit, and the next step.
01What questions should I ask an AI development company?
Ask about production systems they shipped and maintain, their security and compliance posture, how they scope and run projects, communication and overlap, IP ownership, and knowledge transfer. Look for specific, referenced answers.
02How do I tell a good answer from a bad one?
Good answers are specific and reference real projects, trade-offs, and failures. Vague, buzzword-heavy answers that avoid specifics are a warning sign of demo-level capability.
03What is the most important question?
"Show me a system you shipped to production and still support." It cuts through hype faster than anything—production experience is the single best predictor of a successful engagement.
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