Testing
Testing verifies that AI outputs are accurate, controlled, unbiased, and aligned with firm policy before broad use.
Related tool categories: compliance, archiving, and approved enterprise AI environments such as Smarsh, Global Relay, Red Oak, Comply, SmartRIA, RIA in a Box, Microsoft Copilot, ChatGPT Enterprise, and Claude Enterprise.
What this means in practice
- Test hallucinations, bad math, stale tax rules, misleading marketing language, and advice-like chatbot responses.
- Run periodic samples after deployment.
What good implementation looks like
Good advisor AI implementation connects this workflow to the firm’s systems of record, makes uncertainty visible, and keeps the advisor in control of client-facing decisions.
Risks and controls
- Models and vendor behavior can change over time.
- Testing should include real advisor workflows, not just demo prompts.
Advisor value: AI should reduce administrative drag and surface better context, while the planner provides judgment, prioritization, and accountability.