In 30 minutes, you'll see
- What AI does well. A first pass on every claim against your own rules, including the claims an image makes without words.
- Where people stay essential. Judgement calls, novel claims and the final sign-off stay with your reviewers.
- What leaders need to manage. Testing it before you trust it, handling false flags, and the knock-on effects on marketing.
Bring a claim you're unsure about
When you register, tell us about a claim your team finds hard to call. Anonymise it first. We'll review a selection live in the session.
Who it's for
Heads of regulatory affairs, legal and compliance leads, and claims review teams at consumer brands in supplements, beauty and personal care, food and beverage, and household products.
From the teams using it
“The first pass catches what used to take a reviewer half a morning. The reviewer now spends that time on the judgement calls.”
“Every finding cites the clause. The argument is about the rule now, not about who was being strict.”
You'll leave with
- A realistic picture of AI in claims review. What it does well, what it gets wrong, and where your reviewers stay in charge.
- A way to test AI before you trust it. Using reviews your team has already done, so any decision rests on evidence.
- The questions to ask before AI enters your process. From audit trails and false flags to the knock-on effects on marketing.
Questions
Is it free? Yes.
Will there be a recording? Yes. Everyone who registers gets it, whether or not they can attend.
Is this a product demo? Partly, and we'd rather say so up front. You'll see the system working on real content, and most of the session is what the team learned. The Q&A is yours to steer.
Can you name the company? No. We'll be clear in the session about what we can and can't share.
Hosted by Sarah McKenna and Ed Ortega, founding partners of Machine & Folk.
