This post was created in partnership with TikTok
What happens when viral creator content starts moving faster than a brand can review, measure, or act on it?
During a Brandweek 2026 panel co-hosted with TikTok, marketing leaders examined how AI is helping brands manage creator-led commerce at a scale that traditional workflows were not built to handle.
Managing creator scale
Henkel had long positioned Pravana as a professional salon hair care brand, with polished before-and-after creative to match. Then a TikTok creator in pajamas filmed a casual bathroom video about one of Pravana’s leave-in treatments, and the response prompted Henkel to rethink how the brand should show up online.
The video drove sales and inspired other creators to make their own Pravana content, with the results pushing Henkel toward a much bigger bet on TikTok Shop.
“It took a lot of convincing our teams to go on TikTok Shop, and now it’s really paying off,” said Cedric Parsiegla, VP of modern marketing, AI, and growth enablement at Henkel.
But success with this new format introduced a new challenge: volume.
Parsiegla said Henkel’s marketing team might traditionally produce 300 to 400 assets in a year, while Pravana alone has generated about 60,000 pieces of content this year. And Pravana is just one of several brands in Henkel’s professional hair care portfolio. Parsiegla noted that the sheer volume of content makes human review impossible.
Boost Engine, Henkel’s social commerce technology and services partner, uses AI and agentic workflows across creator discovery, outreach, content analysis, and compliance review. The system helps Henkel identify what warrants amplification, scrutiny, and human attention.
“AI is actually augmentation of our human capabilities,” explained Alex Yang, co-founder and president of Boost Engine.
AI also helps Henkel monitor claims, product use, and brand safety while connecting organic performance to paid media. When creator content starts working, Boost Engine can help determine whether to put more budget behind it.
Moving human attention toward judgment
As repetitive reporting, analysis, and review move toward automation, Yang said teams can spend more time on decisions tied to content, partnerships, and business performance.
