
Your Marketing AI Journey Guide
The Right Solutions for Marketing Leaders at Every Stage of Their AI Journey
Not sure which service fits your team best? This Marketing AI Journey Guide
helps you identify your stage and align it with the service designed for your needs.
Stage 1: Discover & Align
You are just starting off but don’t have a clear AI strategy for marketing or a roadmap to guide priorities.
If you’re asking:
Where do we start with AI in marketing?
Challenges faced:
No clear roadmap for how AI fits into marketing
Teams experimenting without direction
Pressure from executives and your team to build an AI plan and justify investment in tech and training
Too many competing AI priorities in marketing
No guardrails in place to ensure AI is used responsibly
Solutions you may need
Not every solution will apply — these are tailored starting points.
Marketing AI Speaking Services: Receive a keynote or workshop that inspires and energizes your marketing team at the start of their AI journey.
Marketing AI Kickstart Program: Assess readiness, set priorities, and establish the foundation for AI adoption.
Marketing AI Strategy Development: Build a tailored AI strategy aligned with business and marketing goals.
Marketing AI Governance Blueprint: Define policies, guardrails, and accountability for responsible AI use.
Business Outcomes
A clear marketing AI strategy and roadmap with prioritized initiatives, alignment across leadership and teams, investment decisions grounded in business value, and governance in place to guide responsible adoption.
Stage 2: ENABLE & PROVE
Your team has an AI roadmap in place but needs enablement and proof points to demonstrate measurable marketing results.
If you’re asking:
How do we upskill the team, prove value, and run pilots?
Challenges faced:
Teams lacking the skills and capability to apply AI
Too many AI use cases competing for attention
Too many MarTech options to evaluate for each use case
Pilots that have failed or are running without structure, producing no measurable outcomes
Pressure to show ROI quickly to secure more investment
Solutions you may need
These options are modular — you can select the ones that best fit your roadmap and priorities.
AI Marketing Leadership Accelerator: A workshop series to align marketing leadership, establish an adoption framework, and guide marketing’s AI journey.
AI Training & Enablement for Marketing Teams: A structured program to build team capability and confidence in applying AI across marketing.
AI MarTech Selection & Evaluation: Structured guidance to identify, compare, and select the right AI MarTech solutions for high-potential pilots.
Business Outcomes
Marketing teams equipped with the skills to apply AI, the right AI MarTech selected for high-potential use cases, and pilots kicked off and executed in ways that deliver measurable ROI and secure further investment.
Your team has proven AI use cases, but scaling adoption across marketing and linking impact to business-level outcomes remains a challenge.
Stage 3: scale & sustain
If you’re asking:
How do we scale AI across marketing and tie it to business outcomes?
Challenges faced:
Adoption uneven across marketing functions and teams
AI MarTech stack fragmented, slowing integration and scale
Proven pilots not translating into enterprise-wide rollouts
Difficulty tying AI-driven marketing results to revenue, efficiency, or other business KPIs
Cultural resistance making it difficult to embed and sustain AI adoption long term
Solutions you may need
At this stage, these are customized programs designed to embed AI across marketing in ways that fit your long-term goals.
Marketing AI Program Management: Ongoing oversight to ensure AI initiatives are executed, tracked, and embedded into daily operations.
Custom AI Solutions for Marketing: Tailored AI applications developed to address your organization’s specific use cases and workflows. Talk to us.
Business Outcomes
Strategic and responsible AI adoption embedded across marketing, with proven pilots scaled into enterprise-wide programs, integrated with business KPIs, and sustained through governance and cultural alignment.