AI readiness assessment.
End-to-end readiness review for credit unions and law firms: workflow discovery, data readiness, governance, vendor selection, regulatory framing, and a 90-day starting sprint a board can approve.
Agentic AI strategy & build.
From use-case prioritization through pilot, governance, and production criteria. Hands-on with agent design for member service, document review, knowledge retrieval, and lead-pipeline applications.
Generative Engine Optimization (GEO).
Audit, benchmark, and remediation for how AI tools surface your brand, products, and category. Includes structured-data, FAQ, named-entity, and authoritative-content workstreams.
Marketing data readiness.
Preparing the marketing data layer — CMS, marketing automation, BI, attribution, analytics — for AI-mediated discovery and agentic workflows. The plumbing decision most marketing teams are about to inherit.
Competitive intelligence.
Win/loss programs, competitor deep-dives, market-share analysis, and battlecards built around real buyer behavior — not feature matrices.
Credit union market entry (for fintechs).
ICP, positioning, GTM motion, conference strategy, and CUSO partnership playbook. The bridge between fintech GTM discipline and credit union channel fluency.
M&A advisory.
Strategic rationale, competitive diligence, integration planning, and the board/regulator narrative — on either side of the table.
Marketing attribution & analytics infrastructure.
Built from scratch at a $1.6B+ credit union: connecting spend to acquisition, product adoption, cross-sell, and retention with executive and board-level reporting.