Marketing leadership for AI products.
AI products in regulated industries don't need hype—they need proof. I help AI companies build trust through demonstrable business impact, positioning AI as a reliability tool that solves real problems for teams that can't afford to experiment with untested solutions.
Why AI products marketing is different
Business Impact Over Features
Technical Rigor Over Claims
Transparency Over Promises
Three areas of focus.
Proving Business Impact and ROI
Most AI marketing sells the vision. Regulated industries need the walk—measurable ROI, clean integration, and no compliance risk. Buyers adopt AI because it compresses timelines, eliminates errors, and protects revenue. They need to calculate payback periods and defend decisions to stakeholders. Your marketing has to do that math upfront.
I build marketing centered on concrete financial outcomes: hours saved per project, errors eliminated, revenue protected. This means outcome-driven case studies, ROI modeling, and proof-of-concept narratives that satisfy procurement teams and VC investors alike.
- ROI-focused case studies and proof points
- Outcome-driven positioning and messaging
- Impact modeling and payback period analysis
- Quantified advantage storytelling across channels
Demonstrating Technical Superiority
VCs and technical teams want to understand model architecture, training data, accuracy benchmarks, and real-world robustness and customer impact. Effective AI marketing showcases technical superiority through transparent performance comparisons and honest assessments of capabilities and constraints—differentiating you from competitors making vague claims.
I build marketing that demonstrates how your model outperforms alternatives, leading with technical rigor that satisfies procurement evaluation and VC due diligence.
- Transparent benchmarking and comparisons
- Performance proof points for VC and technical due diligence
- Competitive differentiation through evidence
- Honest assessment of model capabilities and constraints
Authority Through Trustworthy AI
Prospects need to see that you have a methodology and point of view around trustworthy AI—the ethical aspects of AI management and product management. This isn't about benchmark scores; it's about demonstrating that your team thinks rigorously about how AI should be built, governed, and deployed. Companies that publish that thinking build durable trust and authority over time, for both the founder and the company.
Industry awards and third-party recognition reinforce that authority—external validation that your approach to trustworthy AI is credible and worth paying attention to. I help you build both: a sustained thought-leadership program and a targeted awards strategy that compound into lasting market authority.
- Thought-leadership frameworks around trustworthy and ethical AI
- Founder POV and methodology narratives on AI governance and product management
- Editorial program for sustained authority-building (essays, talks, briefs)
- Point-of-view positioning that differentiates you from hype-driven competitors
- Industry awards and recognition strategy to externally validate trustworthy-AI leadership
Where I've done this before.
Augmenta AI
Built the marketing function for a startup leading in Autonomous Building Design with Spatial AI for the regulated construction sector. Positioned cutting-edge spatial AI for commercial building projects in a market where speed to market and technical expertise were critical differentiators. Focused marketing on demonstrating technical superiority, compliance readiness, and measurable project delivery impact to construction firms and their VC backers.
DarwinAI
Led positioning and market narrative for an AI inference company from product launch through acquisition by Apple. Built trust through transparent technical communication and demonstrated reliability for mission-critical applications.
AI Product Strategy & Positioning
Advised early-stage AI companies on go-to-market strategy in regulated industries, focusing on compliance-first positioning, ROI modeling, and buyer education rather than feature promotion.
More detail in the case studies and about pages.
You might be a fit if…
- Your AI product solves a problem in a regulated industry (construction, manufacturing, healthcare, financial services) and you need marketing that builds trust, not hype.
- You're tired of AI marketing that oversells capabilities. You want positioning grounded in measurable business impact and honest about technical capabilities and limitations.
- You need to help enterprise buyers and VC teams defend an AI adoption decision through transparent technical proof and clear financial ROI—which means your marketing has to make both a technical and operational case.
- You want to demonstrate your AI product's technical superiority and differentiation in a crowded market through evidence, not claims.
- You're looking for a marketing leader who can translate technical complexity into buyer-friendly outcomes and technical rigor without dumbing down the story.
Strategic Advisory
~10 hours/week — senior guidance, planning, and coaching for your existing marketing team.
Embedded Execution
Up to 20 hours/week, minimum three-month commitment — hands-on positioning, GTM, and campaign delivery.
Project-Based
4–12 week scoped engagements — a positioning sprint, launch plan, or marketing audit with a fixed deliverable.
Full details on the services page. New to the fractional model? Read the fractional CMO guide.
Other industries I work with
Working in AI Products?
If you're building AI for regulated industries and need marketing that proves impact, not just promises—let's talk.