Personalization at scale
Use AI to dynamically tailor messaging or content to your top customer segments based on behavioral and purchase data.
Bentley Strategy Sprint
A 6-week engagement to test, learn, and arm your AI story for the C-suite.
Every CMO is feeling the pressure from the CEO and CFO to show meaningful AI adoption, now. The obstacles are real. Most marketing organizations aren’t AI-ready. The data is fragmented, the martech stack wasn’t built for AI, and the integrations are months or years from clean. What CMOs need isn’t another roadmap. They need proof, something real to show the C-suite, and a clear picture of what’s actually in the way.
Instead of interviewing people about what they think is possible, we run an actual AI-first project inside your marketing organization, with your real data, your real systems, and your real team. Think of it as a stress test, not a sandbox prototype. A real use case in your actual environment, showing exactly where AI runs into friction, and why.
Each is designed to hit friction fast, produce something demoable, and surface issues that apply broadly across your AI readiness.
Use AI to dynamically tailor messaging or content to your top customer segments based on behavioral and purchase data.
Build an AI-enabled brief-to-content pipeline that reduces the time from customer insight to published asset.
Deploy AI to analyze VOC data (reviews, surveys, support tickets) and surface patterns a human analyst would miss.
Week 1
We meet with you and key stakeholders to select one of three AI use cases and define what done looks like. Your team owns execution. I set the direction.
Weeks 2–4
I join a weekly 90-minute working session as your team builds. Not project managing. Watching, asking questions, and logging every data gap, integration failure, and process bottleneck in real time.
Week 5
Push the use case harder. More automation, less human review. This is where the most important findings emerge.
Week 6
Deliver the Friction Log and Investment Roadmap, and prepare you for the CEO conversation. You walk in with receipts.
A deployed AI workflow, built inside your actual marketing environment. Something real to demonstrate to your C-suite.
A documented record of every data gap, tech limitation, talent gap, and process breakdown. The artifact that turns “we tried AI” into “here’s exactly what needs to change.”
The 3–5 fixes or investments that would most accelerate AI adoption in Marketing, sequenced by impact and effort, framed for a CFO conversation.