Your data isn't ready for AI.
Let's fix that.
Most companies buying AI tools are discovering the same problem: the data underneath isn't good enough to support them. The tools aren’t the problem, the data foundation is.
With 10+ years of experience building analytics systems, I help startups and media companies audit their data infrastructure, clean up what's broken, and build a foundation that AI can actually run on.
How engagements work
Most teams don't need a full rebuild on day one. What's needed first is clarity on what's broken, what's missing, and what it will actually take to get your data working for you instead of against you.
Option 1: AI-readiness Audit
When you're investing in AI tools but not getting the value you expected.
A focused audit of your data infrastructure to identify exactly what's preventing your AI tools from delivering. I review your pipelines, data structure, governance, and alerting systems. Then I give you a prioritized roadmap to fix them.
What I assess:
Pipeline reliability and failure patterns
Data governance: naming conventions, ownership, audit trails
Monitoring coverage and response gaps
Architecture readiness for AI tool ingestion
Manual workarounds that signal structural problems
Outcome: A clear picture of what's broken, how to fix it, and confidence in your data before you layer AI on top.
Option 2: Data Foundation
When scale or complexity demands more control.
Design and build a client-owned data foundation using an independent data warehouse (e.g. BigQuery, AWS, etc) and dashboarding tool (e.g. Looker, Tableau, etc):
GA4, ad platforms, Shopify, and more in one reliable dataset
Clean schemas and reusable logic
Dashboards built on top of trusted data
Outcome: A flexible, scalable system you own. No vendor lock-in. AI-ready from day one.
Option 3: Reporting Rescue
When reporting exists, but clarity doesn’t.
Rebuild or simplify existing reports so leadership and clients can:
See the right KPIs
Trace numbers back to source
Stop debating definitions
Outcome: Fewer reports, clearer metrics, and dashboards that drive decisions instead of arguments.
Option 4: GA4 & Measurement Audit
When numbers don’t line up or trust is eroding.
A focused audit of Google Analytics (GA4) and measurement foundations to identify:
Broken or missing events
Inconsistent UTMs and channel attribution
Misaligned conversions and KPIs
Gaps between GA4, ad platforms, and dashboards
Outcome: Clear recommendations, prioritized fixes, and a shared understanding of what you're measuring and why.
Testimonials
Get In Touch
If your team is spending more time explaining your numbers than acting on them, or if you've invested in AI tools that aren't delivering, that's worth a conversation.