At a closed-door forum in downtown Manhattan, the conversation went well beyond cost-cutting — into AI, legal risk, and the new operating model brands can’t afford to ignore.
Last Thursday, marketing procurement leaders, creative operations managers, production consultants, and creative directors gathered at Industrial Color’s lower Manhattan studio for the Women in Marketing Procurement Spring Forum. The topic was Mastery of AI in Content Production. What unfolded over four hours was less a conference and more a masterclass in where the industry is actually headed — and what marketing organizations need to do to keep up.
Founded by Christine Moore of RAUS Global and co-led by Libra Balian, a strategic consultant at AlixPartners, WMP operates under Chatham House rules, which means attendees from luxury, beauty, pharma, and entertainment brands spoke candidly. The result: a frank, forward-looking conversation that cut through the noise around generative AI and landed on what brands genuinely need to know right now.
Procurement’s mandate is changing
Christine opened with a challenge that set the tone: procurement must evolve from rate negotiator to content operating model architect. A live audience poll confirmed the underlying tension — organizations still lack a clear strategicowner for content production decisions, and over 40% of the room did not have procurement involved with content strategies. That gap, several speakers argued, is both a vulnerability and an opening.
Industrial Color founder Steve Kalalian, whose studio hosted the event, drove the point home not just with buzzwords and possibilities but with actual case studies. His team walked attendees through real commercial work, including a Maybelline campaign that produced 20 AI-generated videos in five weeks — work that would have required at least three months and a team of six artists using traditional CG. Three people did it instead in half the time. The campaign’s results: 51% growth in social engagement, 30% increase in reach, a 15% higher engagement rate, 75% faster production time, and 50% cost savings over traditional CG.
Knowing the vocabulary is non-negotiable
Steve introduced a set of distinctions that every procurement professional in the room left with. Synthetic performers — AI-generated figures not based on any real person — carry entirely different legal and contractual implications than digital twins, which are digital replicas of actual humans or products. Conflating the two is a huge liability — but easy to do.
He also drew a line between automated AI, which is optimized for volume (think product image variations at e-commerce scale), and “Brand AI”, a new term he coined which uses generative tools alongside traditional methods to hit a brand’s specific creative vision. His team’s approach is deliberately agnostic: the right mix — 80/20, or 100% AI — depends on the project.
For the e-commerce use case, the Industrial Color team showed how AI solved a concrete supply chain problem: a brand that routinely receives only 80% of its product samples before a campaign deadline. Rather than delay or reshoot, they used CAD files to generate photo-quality AI product models for the missing SKUs, in short order, and with a consistency that matched the originals. That is the kind of ROI story procurement leaders can take back to the table.
Three perspectives, one elephant
Earlier in the day, Libra moderated a panel of optimizing content budgets from three distinct vantage points: Valerie Light, a 30 year procurement and production veteran from Verizon and a board member at PostAds Group (makers of the Prodigy spend intelligence platform); Kelsey Kovalcik, Creative Director at BaseBeauty; and Katy Hill, Production Advisor at MRA Services.
Kelsey set the tone with a reminder that creative ambition has to live inside real budgets: “sometimes you can’t always rent that elephant for the shoot”. “But this could be a good use case for genAI!”. Valerie’s frame for what fixes that is what she calls “spend intelligence,” knowing what the brand has paid historically, what the market pays now, and where benchmarks sit. She walked the room through Prodigy, a new SAAM tool that ingests existing estimates with no data entry, runs side-by-side bid comparisons, capable of deciphering all the nuances that production offers, and includes an agentic chat function called Max that answers production cost questions like a senior producer in the room.
Katy offered a hot take from the consultant chair: optimization is not about slashing costs. It is about best value. A bid that comes in $40,000 lower but covers four fewer hours per day is not a savings, it is eight hours of lost content over a two-day shoot. Her practical recommendation for any procurement team that doesn’t already have one: build a production guidelines document, the “Production Bible,” that sets thresholds for competitive bidding, maximum vendor markups, cancellation and postponement terms, and the standards every agency partner has to agree to upfront. With those guidelines in place, Katy noted, you start every negotiation two steps ahead.
Kelsey pushed on transparency from the agency side. At Base Beauty, third-party production costs are not marked up. Clients see exactly where the money goes. Her argument: gatekeeping pricing is the fastest way to lose a partnership, and a $5,000 photo shoot can produce strong work when the creative is sharp and everyone on set is bought in. As Christine noted from her side of the table, the procurement view of a bid is fundamentally different from the creative view: Creative is making sure the elephant shows up at 7am, while Procurement is asking why the milk line item appears three times. Both perspectives are needed, and the panel made the case that both are better served when they sit at the table together.
The discussion closed on a pair of practical levers most procurement teams underuse: pre-negotiated rates with preferred vendors (turning fragmented invoicing into a managed program), and US state production incentive programs in 30-plus states that can return up to 30% on qualified spend, sometimes covering crew, talent, hotel, and even agency labor depending on the jurisdiction. The waiting period runs 12 to 24 months, but as Katy put it, the money comes back without asking the creative to compromise on a single shot.
Strategy before software
Clair Carter-Ginn, a creative operations veteran whose resume spans Michael Kors, Louis Vuitton, and Old Navy/Gap Inc — and who currently leads the Creative Operations Program at Rutgers University — delivered a grounding counterpoint: “most brands don’t have a tools problem. They have a workflow problem”.
Her diagnosis: the triangle between Creative, Operations, and Procurement is chronically out of sync, which is why expensive technology platforms routinely become abandonware. Her prescription was operational rather than aspirational: 1) write an AI mission statement, 2) convene the right cross-functional stakeholders, 3) identify real pain points, and 4) chase a quick win before 5) scaling.
Clair pointed to an unlikely success story: a traditional brick-and-mortar retailer whose head of creative marketing operations built a cross-functional AI task force, developed a formal strategy, and created a testing framework that gave every team clarity on what they were experimenting with and why. No flashy tech stack required. Just governance and alignment.
Her parting note on change management: if there is no adoption plan, whatever tool gets purchased will die. She shared how prompt-writing workshops for the design team at Old Navy turned potential resistance into enthusiasm — creatives experienced AI as a new skill to develop, not a threat to manage.
The legal session everyone needed
Advertising lawyer Candice Kersh, partner at Frankfurt Kurnit, delivered what many attendees rated the most valuable session of the day, and the stakes are high enough that the key points bear repeating clearly.
AI-generated content cannot be copyrighted. Copyright law requires human authorship. A fully AI-generated campaign cannot be owned in the same way as a traditionally produced one. The implication for brand marketers: the ownership calculus must now be part of every production decision. A throwaway social background? Low stakes. A hero campaign built for long-term brand equity? Understand the trade-off before you proceed.
The regulatory landscape is moving fast. New York is introducing disclosure requirements for synthetic performers as early as June 2026; California is following. The laws are written broadly enough that an AI-generated body part could qualify as a synthetic performer under the statute.
On digital twin pricing: there is no industry standard. Model agencies are still figuring out the benchmarks, which Candice noted creates a negotiating window for brands — but also signals how early-stage the space remains.
On content provenance: watermarking and metadata tracking are accelerating. Google’s SynthID embeds invisible markers across images. The C2PA standard creates metadata records tracking how content was created. Brands should be preserving digital masters with full provenance data, even knowing that platforms like Instagram strip metadata on upload. In New York and California, contracts involving digital twins that don’t comply with existing statutes are unenforceable — a detail that should prompt an immediate review of any AI addendum language in current production agreements.
What the industry is watching
Women in Marketing Procurement’s track record at the leading edge is notable: the group covered Generative Engine Optimization (GEO) six months before it became a mainstream discussion on the industry circuit. The WMP Spring Forum suggests the next inflection points are legal standardization around synthetic performers, the maturation of brand AI versus automated AI workflows, and the emergence of a genuinely strategic procurement function in content production — one that sits at the table alongside creative and technology, rather than entering the conversation after the bid stage.
For marketers and brand-side operators, the room’s consensus was clear: the window to build that function intentionally is now. The brands that wait for the landscape to stabilize will be catching up to peers who used this moment to architect something durable.
Women in Marketing Procurement is a free, invitation-based professional community for women working in or adjacent to marketing procurement. Learn more and connect via the WMP network on LinkedIn.