Pick the one closest to your event and I'll tailor it from there.
01
Custom AI Assistants for Every Employee
Stop having your team start every AI conversation from scratch.
How MMA deployed MAVEN (a custom AI assistant pre-loaded with org context, brand standards, tool integrations, and data-handling rules) to every employee across a 90-person global organization. We cover architecture decisions, how governance rules travel with the tool so compliance is automatic, and how we migrated 88 seats between AI platforms without disrupting workflows. Live demos. Attendees take home the MAVEN template.
proof: Deployed across 90 staff in 19 countries
audience: AI workflow integration, team enablement format: 30-min keynote · 60-min talk · 90-min workshop
02
What's Actually Working: AI Across the Ad Funnel
29 experiments. 18 brands. +160% avg lift. Real data, no pitches.
Findings from 29 controlled experiments across 18 global brands including Kroger, AT&T, GM, Shell, and Home Depot, testing AI applications at every stage of the programmatic advertising funnel. AI-generated video creative, pre-launch creative scoring, audience discovery models, contextual targeting using LLM embeddings, and full-funnel optimization. We cover what moved the needle and what's still maturing.
proof: +160% avg lift, top performers >+250%
audience: data, measurement, AI analytics, case studies format: 30-min keynote · 45-min talk
03
Building an AI-Capable Workforce
Training that stops at prompting isn't training. Here's what comes after.
The complete workforce transformation model MMA deployed globally: a gamified self-paced AI Mastery program, a tiered certification track (Foundations → Agent Development → Agent Management), and the AI Agent Foundry, a mandatory program where every employee dedicates 10% of their capacity to building automations. We show what people actually built: meeting transcripts that auto-generate CRM updates, lead discovery pipelines, weekly reporting automations, branded content drafts. With validated impact templates.
proof: 100% staff trained, 40+ live production workflows
audience: team training, enablement, change management format: 45-min talk · 90-min workshop · AI Academy session
04
Embedding AI Governance Into Your Stack
AI governance that lives in a PDF doesn't govern anything.
How to build governance into the tools, approval processes, and system architecture your team already uses, so responsible AI becomes the path of least resistance. Drawing from MMA's Responsible AI Innovation Lab (RAIL), which has published 8 governance frameworks adopted by Fortune 500 marketers, and my Cambridge research on multi-agent governance. Walks through automated risk tiering, AI usage policies that travel inside the assistant, self-enforcing data classification rules, and approval workflows that route by risk level without creating bottlenecks.
proof: 8 published RAIL frameworks, Fortune 500 adopted
audience: ethics, legal, governance, martech format: 45-min talk · 90-min workshop
05
Who Controls Your AI Agents?
The protocols connecting your agents aren't neutral plumbing.
Original research from the University of Cambridge analyzing the dominant agent communication protocols (A2A, MCP) that govern how AI agents coordinate across enterprise systems. Standards marketed as "open" contain architectural choices that concentrate control with platform owners, transform agents into auditable subjects, and quietly reposition human workers as managers of AI teams. For marketing leaders adopting agentic AI: this determines whether your agents work for you or for the platform.
proof: From my Cambridge dissertation, Protocols of Power
audience: ethics, legal, vision, executive briefing format: 45-min keynote · 60-min deep dive
06
The Marketing Org in 2030
What stays human, what becomes agentic, and how the org chart actually changes.
Three plausible versions of the 2030 marketing org, each with different assumptions about agent autonomy, headcount, and where trust breaks. We work through which roles compress, which expand, which new ones appear, and what to hire and reorganize for now. Runs as a keynote or as a facilitated scenario session where your leadership team argues its way to a position. Drawn from MMA's research and the AI Leadership Think Tank's work with CMOs mid-transition.
proof: Built on the 300+ ALTT leader community
audience: executive leadership, future of work, scenario planning format: 30-min keynote · 45-min keynote · 90-min facilitated executive session
07
Agent Search Optimization
SEO is about to happen again, and the incumbents already own the authority.
When agents shop, book, and negotiate on a customer's behalf, the question stops being who ranks on Google and becomes which agents other agents can find and trust. A2A discovers agents through an agent.json file at a well-known URL, which reproduces the sitemap.xml dynamics that built the SEO industry and favors domains with existing web authority. The alternative is a curated registry run by a platform owner, which works like an app store and gatekeeps like one. Neither A2A nor MCP ships a trust or reputation layer, so identity providers from Google, Microsoft, and AWS are filling that gap and will charge for it. This talk maps the coming visibility fight for brands and agencies and what to build now: an agent card, registry presence, and an agent identity you control rather than rent.
proof: Term coined in my Cambridge dissertation, Protocols of Power
audience: CMOs, search and performance marketing, martech, agency leadership format: 30-min keynote · 45-min talk
08
Privacy as a Shield for Bias
The algorithm never saw gender, which is why nobody could prove it discriminated.
Goldman Sachs' Apple Card model did not collect gender. So when a customer publicly reported in 2019 that his wife got a far lower credit limit despite the better credit score, the bank could say the model was gender-blind and cite proprietary secrecy, and no one outside could test either claim until New York's Department of Financial Services opened an investigation. Amazon scrapped a hiring model in 2018 that had learned gendered language as a proxy for quality. IBM left the facial recognition market in 2020 after the Gender Shades study exposed its accuracy gaps for darker-skinned women. One pattern runs through all three: data minimization and "fairness through unawareness" delete the fields you need to detect bias, GDPR Article 9 restricts them further, and voluntary ethics programs react only after a reporter or researcher forces the issue. For teams that treat privacy compliance as proof of ethical safety, this talk shows where that assumption breaks and what a bias audit has to be allowed to measure.
proof: From my Cambridge essay The Data Dilemma, published here
audience: privacy, legal, data governance, CMOs format: 30-min keynote · 45-min talk · 90-min workshop
09
Self-Regulation With Teeth: What Advertising and Apparel Already Learned
Voluntary AI codes have an enforcement problem. Two other industries found out where enforcement comes from.
Inside companies, responsible AI teams lack authority, budget, and any metric that competes with revenue, which is what Rakova and colleagues found across 26 practitioner interviews in 2021. Advertising and apparel hit the same wall decades ago. The IAB moved an entire industry onto shared ad standards by tying compliance to access to premium inventory. The Fair Labor Association built independent factory monitoring in 1999, then spent 20 years fighting the conflict of being funded by the companies it monitored. Rotfeld's 1992 finding still holds: self-regulation works in direct proportion to the threat of government regulation behind it. This talk applies those lessons to AI governance bodies and trade associations, including how MMA's Responsible AI Innovation Lab is structured: separate standard-setting from member advocacy, attach a commercial incentive to compliance, and design third-party audits that survive the funding question.
proof: From my Cambridge essay Beyond Principles; applied in RAIL's 8 published frameworks
audience: trade associations, standards bodies, governance and policy leads, CMO councils format: 45-min talk · 90-min facilitated session
