AI Ethics Advisory Services
Advisory retainers, governance frameworks, training, and speaking — built for marketing teams navigating AI risk. Every engagement starts with a conversation.
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Think of this as having a senior AI ethics expert on your team - without adding to your headcount.
A lot of the questions that come up around AI in marketing don't require a project. They need someone you can call before you make a decision, someone who's seen how these things play out and can give you a straight answer.
That's what a retainer looks like. We meet regularly, you get access to me for quick questions and reviews, and I stay current on the regulations and industry developments that affect you specifically. When something urgent comes up, you're not starting from scratch with someone new.
This works especially well for CMOs and VP-level marketing leaders who want a trusted resource without the overhead of a full engagement - and for companies who are making a lot of AI decisions quickly and need a sanity-check function built in.
What's Included
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The policies, processes, and guardrails your marketing team needs to use AI without winging it.
Most companies either have no AI governance at all, or they have a 200-page policy document sitting in a shared folder that nobody reads. Neither of those protects you when something goes wrong.
A governance framework project builds something in between: practical guidance that your team will actually use, tailored to how your marketing organization operates and what AI tools you're actually running.
The deliverable isn't just documents. It's a clear set of decisions about who approves what, what questions get asked before a campaign launches, how you assess vendors, and what you do when a model behaves unexpectedly. It fits in the flow of how work already gets done.
What's Included
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Half-day or full-day sessions that leave teams with something they'll actually use.
Most AI ethics training is either too technical (IT-focused, heavy on model math) or too abstract (built for policy discussions, not for people who launch campaigns on Tuesday). Neither of those is useful to a marketing team.
These workshops are built around the real decisions your team makes: how to evaluate an AI tool before you buy it, what questions to ask a vendor, how to spot bias before it ships, and what to do when something doesn't feel right but you can't quite articulate why.
I run sessions for marketing leadership groups, for cross-functional teams that include legal and compliance, and for company-wide summits where a common language around AI responsibility is the goal. Every session is custom-built for your audience and context - not a canned presentation.
What's Included
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For conference organizers who want an AI ethics speaker who doesn't put the audience to sleep.
A lot of AI ethics talks are given by academics and researchers who know the field deeply but have never run a marketing budget or launched a product. The result is talks that are intellectually interesting but practically useless for the people in the room.
I've been on the other side of that stage. I've sat in the audience wondering "yes, but what do I actually do on Monday?" That's the talk I give. Concrete, grounded in how enterprise marketing actually works, and built around scenarios your audience will recognize.
I'm available for keynotes, panel discussions, fireside chats, and executive roundtables. Topics can be tailored around your event's theme — whether that's AI and brand trust, responsible marketing in regulated industries, the CMO's AI dilemma, or something specific to your audience.
Speaking Details
How It Starts
No prep required. We talk about what you're dealing with and whether I can help.
If there's a fit, I'll put together a clear scope and investment. No vague hourly estimates.
I learn your stack, your team, your industry, and where the real exposure is.
We do the work. You get something useful at every milestone, not just at the end.
Common Questions
We already have a legal team and a compliance function. Why do we need this?
Legal and compliance are great at telling you what's not allowed. They're usually not in the room when marketing is deciding which AI tools to buy or how to configure them. I fill the gap between "this is technically legal" and "this is the right call for your brand, your customers, and your team's ability to explain the decision later."
We're not sure we have a problem. How do we know if we need help?
Most companies don't know what they don't know - that's the honest answer. If your marketing team is using any AI tool for targeting, personalization, content, or lead scoring, there's almost certainly a conversation worth having. The 30-minute call exists exactly for this: no commitment, just a conversation to figure out if there's something real here.
Do you work with companies outside the technology industry?
Yes. My background is in enterprise software, but the AI marketing risks I focus on - biased targeting, opaque vendor practices, regulatory exposure - show up across financial services, healthcare, retail, media, and anywhere else AI is being used in customer-facing marketing. The industry context matters and I'll learn yours.
Do you implement technology or help us select tools?
No. I don't sell, recommend, or implement technology products. That keeps my advice clean - I'm not incentivized by any vendor relationship, and I'll tell you when something looks risky regardless of who made it.
What does pricing look like?
I don't publish rates publicly because engagements vary a lot in scope. What I can tell you is that I work with enterprises, I price on value and scope rather than hourly, and the proposal you get will have a clear number with a clear scope attached to it. Reach out and let's have a conversation first.
What is included in an AI governance framework for marketing?
A marketing-specific AI governance framework typically covers four areas: a vendor assessment process (what questions to ask before you buy or renew), data use policies (what customer data can flow into which AI systems), bias and fairness testing protocols (how you catch discriminatory outputs before they reach customers), and incident response procedures (what you do when something goes wrong). Most enterprise marketing teams have pieces of this but not the full picture. See the free tools on the resources page for a starting point.
How long does an AI ethics advisory engagement typically last?
It depends on what you're trying to do. An AI audit of your current marketing stack usually runs four to six weeks. Building a governance framework from scratch is typically a three-month engagement. Ongoing advisory retainers run quarterly. I'll give you a clear timeline in the proposal and I'm straightforward about scope creep when I see it coming.
Does Ethicore Advisors work with companies outside the United States?
Yes. AI marketing regulation is increasingly global - the EU AI Act, Canada's AIDA, and a growing list of national data protection frameworks all affect how multinational marketing teams operate. I work with enterprise teams regardless of headquarters location, and I factor international regulatory exposure into every engagement.