Your AI Marketing Roadmap. Built in Four Weeks.
Independent strategy for AI adoption in marketing for mid-sized companies. Business-first approach.
The AI Strategy Trap
Every vendor in your inbox has “AI-powered” something. Your board is asking about your AI strategy. Your CEO wants to know why you’re not personalising at scale yet.
Meanwhile, the reality in your organisation looks something like this:
Here’s what I’ve seen in more than five years of AI strategy consulting for marketing: most AI projects fail not because of the AI, but because of misalignment between tech/data maturity and use case selection.
What you need is not another Agentic AI pitch, or a shiny new LLM suggestion, but an unbiased assessment of requirement vs. data/tech capability gap using your specific business context.
How Can I Help?
Get your Marketing AI Strategy Roadmap
Readiness Snapshot
Current state data/technology assessment for AI.
Prioritised Use Cases
3–5 AI marketing applications or processes ranked by impact vs. feasibility. Quick wins vs. longer bets clearly separated.
Data Strategy Essentials
What to fix, consolidate, or govern first. Ownership and governance recommendations.
Tools Roadmap
12-month view: what stays, what goes, what integrates. Unbiased recommendations for new platforms.
AI Deployment Blueprint
A concise summary of MLOps proceses, and integration into existing Martech stack.
Commercial Estimates
Realistic investment estimates. No surprises when procurement gets involved.
How It Works?
Four weeks from kickoff to clarity.
A methodology built from over 25 years in the room where decisions get made. No discovery theatre. No circular workshops. Fifty-plus martech consulting playbooks distilled into one focused engagement — designed to end with answers, not more questions.
A Business-first Approach to AI in Marketing
AI for marketing doesn't follow a cookie-cutter approach. A streaming service optimizes for attention. A law firm optimizes for credibility. A real estate company optimizes for timing — catching buyers and sellers in the narrow window when they're actually ready to move. The use cases, the data strategy, tooling approach, and AI deployment options are all significantly different between a SaaS company, a legal services firm, an online retailer, or a hotel chain.
That is why, I start with your use cases and not AI.
What You Get
Over two decades of enterprise consulting legacy in marketing/customer data. Not a generalist guessing how your industry works.
Online Retail
D2C Brands, Subscription Commerce, Fashion/Online Grocery
Travel & Hospitality
Hotel Chains, Tour Operators, Travel Aggregators
Real Estate
Residential Agencies, Property Portals, PropTech
Capital Markets
Fintech, Asset and Wealth Management
Insurance
P&C, Life, Health, Brokers
Media & Entertainment
Digital Publishing, Gaming, Events Marketing