Your AI pilots work in the lab. They don't work in production. This diagnostic maps exactly why - and what to fix first.
Every enterprise marketing organisation has an AI mandate in 2026. Most are discovering that the mandate is not the hard part. Pilots launch, demos impress, then production stalls. The reason is rarely the AI itself. It is what sits underneath it: data architecture that was never designed for machine consumption, identity models that fragment across systems, governance that was built for reporting, not for real-time decisioning.
Personalisation models underperform. Predictive scoring feels unreliable. Generative campaigns produce noise, not relevance. The team keeps asking for "better data" but nobody can define what that means.
Siloed tools, inconsistent taxonomies, manual data preparation. Each AI initiative requires its own data pipeline because there is no shared foundation to build on.
Your data architecture, identity model, and governance framework predate the AI mandate. They were designed for batch reporting and campaign execution - not for the real-time, high-quality data feeds that AI capabilities require.
The Pulse diagnostic maps this structure in your specific environment. You leave the session knowing which foundation gaps are blocking your AI investment - and in what order to address them.
The Pulse is a structured 60-minute diagnostic session with a senior MarTech architect. It is not a sales conversation. You get an honest, independent assessment of where your data foundation stands relative to what your AI ambitions require.
A focused questionnaire (15 minutes) that maps your current stack, active AI initiatives, and the specific questions you need answered. This ensures the 60 minutes are spent on diagnosis, not discovery.
60 minutes with Arjen Segers. Structured assessment across data architecture, identity resolution, governance maturity, and orchestration readiness. Scored against defined criteria for AI-readiness at each layer.
A visual one-page assessment showing where your foundation is strong, where it has gaps, and how those gaps map to your specific AI use cases. Clear enough to share with leadership.
A short document (2-3 pages) identifying the top 3-5 foundation issues to address, in recommended sequence, with an honest assessment of complexity and dependencies. No vendor recommendations. No implementation proposal.
Leadership has committed to AI-driven marketing but nobody has independently assessed whether the data infrastructure can actually deliver on that commitment.
AI proof-of-concepts showed promise but production deployment keeps stalling. The team suspects data quality but cannot pinpoint where or why.
A CDP, AI platform, or data infrastructure investment is on the table. You need to know whether the current foundation can support it - before the contract is signed.
An incoming CMO or VP Marketing Ops needs an independent read on what the current data foundation can and cannot support, without the filter of the team that built it.
A security event or compliance review has raised questions about data governance. AI readiness and data governance share the same foundation - assess both at once.
You need an independent, structured assessment to support a business case for data infrastructure investment. The scorecard provides the evidence; the action brief provides the narrative.
60 minutes. EUR 1,000. Independent assessment. The findings are yours regardless of what you do next.
See all Pulse diagnostics