Marketing AI Strategy Development

The Challenge

As a marketing leader, the pressure to define an AI strategy comes from every direction. Executives want to understand the expected outcomes and ROI from the AI investment you have asked for. Your team wants to feel empowered with clarity on how adoption should take place. Without a strategy, pilots spring up in silos, priorities conflict, and outcomes are difficult to measure and the value is difficult to articulate. What initially looks like progress often stalls without direction, leaving AI positioned as activity rather than a driver of growth.

Our Approach

An AI strategy should not be a checklist of activities. It should create confidence for executives and clarity for the team. Spark Novus brings the structure to turn AI from scattered efforts into a blueprint for measurable outcomes. We focus on aligning leadership on priorities, defining how value will be measured, and ensuring teams feel empowered with a clear path forward. The result is a strategy that is trusted by leadership and actionable across the organization.

What You Get

An AI Strategy Blueprint that connects AI adoption directly to marketing and business goals. It establishes a clear foundation that marketing leaders and their teams can confidently put into action. The blueprint includes:

• Strategic priorities: Where AI can deliver the greatest impact across marketing functions

• Outcomes and ROI measures: Practical ways to articulate the value of AI investments to executives and stakeholders

• Governance guidelines: Principles and guardrails that ensure adoption is responsible, consistent, and sustainable

• Training and enablement recommendations: Guidance on how teams should be supported and equipped to adopt AI with confidence

• Execution roadmap: A structured path that turns AI investment into measurable and sustainable business outcomes

Timeframe

• AI Strategy Development engagements typically run 3 to 4 months. This timeframe allows space to engage executives, align on priorities, shape governance principles, and recommend how teams should be enabled to adopt AI responsibly.