Data Sovereignty and Residency

• Can you guarantee that all voice data processing occurs within our specified geographic region without any external API calls?

• Do you maintain complete audit logs of every system that touches our customer voice data, including timestamps and processing locations?

• In the event of litigation requiring data preservation, how would you handle court orders affecting third-party providers versus your own infrastructure?

Model Behavior and Control

• Can you modify the AI model’s behavior within 24 hours if we identify inappropriate responses, without depending on external providers?

• What happens to our custom voice models and conversation data if a third-party provider changes their terms of service or pricing?

• How do you prevent bias injection when third-party providers update their models without your knowledge or consent?

• Can you roll back to a previous model version immediately if an update introduces unacceptable bias or behavior changes?

Hallucination Risk Management

• What specific risk profiling methodologies do you employ to measure and track hallucination rates across different conversation types?

• Can you provide quantitative metrics on hallucination frequency broken down by domain?

• How do you detect and prevent hallucinations that might not be caught by the LLM’s own confidence scoring?

• What is your baseline hallucination rate and how do you ensure it doesn’t degrade with model updates?

Non-LLM Verification Systems

• What deterministic, rule-based systems verify that AI responses comply with regulatory requirements before delivery?

• Do you employ any non-AI guardrails such as regex patterns, keyword filters, or structured validation?

• How do you verify numerical accuracy and factual claims without relying solely on the language model?

• Can you demonstrate a multi-layer verification architecture that doesn’t depend on LLM self-assessment?

Performance Guarantees

• Can you contractually guarantee sub-second response times regardless of provider traffic levels?

• During a third-party service outage, how do you maintain service continuity?

Security and Compliance Verification

• Can you provide evidence that voice data is never used to train models, including at third-party providers?

• How do you ensure HIPAA compliance when voice data might contain protected health information?

Cost Predictability and Transparency

• Can you provide a fixed-cost model that does not fluctuate based on third-party API pricing changes?

• What hidden costs might emerge as we scale to millions of calls monthly?

Infrastructure Control

• Can you deploy the entire solution within our private cloud or on-premises data center?

• How quickly can you implement custom security controls or encryption methods we require?

Third-Party Dependency Risks

• What is your disaster recovery plan if a critical AI provider permanently shuts down?

• How do you handle situations where third-party provider actions conflict with corporate policies?

Intellectual Property Development and Differentiation

• How can we build proprietary conversational experiences if we use the same base model as every other enterprise customer?

• Can you fine-tune models exclusively for our use case?

• What prevents another company from replicating our conversational agent?

• Do you offer exclusive voice actor licensing?

• How do you ensure training data and conversation patterns remain our intellectual property?

• Can we protect the conversational flows we develop on your platform?

Technical Model Optimization and Hyperparameters

• What Alpha and R values, unfrozen parameters, and optimizer settings are used for fine-tuning?

• Can you dynamically prune model parameters for latency without full retraining?

• What is your approach to catastrophic forgetting and regularization?

• Can task-specific parameters or adapter layers be added without affecting base model performance?

• What learning rate schedules, batch sizes, and gradient accumulation steps are used?

• Do you support quantization-aware training, and at what bit precision?

• What mixture-of-experts routing mechanisms can be adjusted?

• How do you handle gradient checkpointing and memory optimization?

• Can you implement custom attention mechanisms or positional encodings?