Communicate Claude's value and limitations

Credible messages pair concrete, measured benefits with honest limits and the controls that manage them.

Key ideas

Be concrete

Two or three use cases from the audience's real work, with measured or expected time saved.

State limitations

Claude can produce plausible but wrong details, has a knowledge cutoff, and doesn't make decisions about people. Say how review handles this.

Avoid overclaiming

No “100% accurate”, “replaces the team” or guaranteed results. Propose a pilot when the honest answer is “we don't know yet”.

Address fears directly

Be transparent about what Claude will and won't be used for, how data is handled, and where to raise concerns (for example monitoring worries).

Answer data questions from facts

When clients ask how their data is handled, answer from the actual plan terms and policies, and involve legal or data leads if unsure.

Common traps

• Technical explanations of how language models work for a business audience.
• Avoiding the question or delaying communication until after rollout.