1) How safe and accurate can generative AI be?
Generative AI cannot reliably determine whether what it generated is accurate or appropriate.
In practice, you reduce risk by adding mechanisms around the model, such as:
- guardrails,
- evaluation,
- retrieval grounding,
- and human-in-the-loop workflows for high-impact cases.
2) Where can GenAI help beyond chatbots?
GenAI is useful in document-heavy domains such as risk and legal work.
A common pattern is:
- search and retrieve from large internal document bases,
- extract the relevant parts,
- summarize and draft outputs,
- and route sensitive cases for review.
3) What should organizations do right now?
Adopt GenAI strategically:
- be clear on the use cases,
- understand prerequisites (data, governance, risk appetite),
- avoid treating the model as a “truth machine”,
- stay adaptable, because the ecosystem is moving fast.