Practice · AI Advisory
AI ADVISORY.
STRATEGY BEFORE
ENGINEERING.
Before you build anything, you need to know where AI creates real value in your media or ad-tech stack — and where it doesn't. Our advisory practice helps you make that call with confidence, backed by 13 years of media-technology experience.
01
Stack audit & opportunity mapping
We review your current technology, content pipeline, and monetization stack. Then we identify the specific places where AI agents, automation, or ML models would deliver measurable ROI — not theoretical value, but concrete operational savings or revenue gains.
02
AI readiness assessment
Not every team is ready for AI. We assess your data quality, infrastructure maturity, and team capacity — then build a phased roadmap that matches your actual readiness, not a vendor's ideal scenario.
03
Workshops & executive briefings
Half-day or full-day working sessions with your leadership and engineering teams. We cover what's real in AI for media and ad tech today, what's hype, and what your specific next steps should be. No slides-only sessions — every workshop produces a working artifact.
04
Vendor & build-vs-buy analysis
Should you build an in-house recommendation engine, buy a third-party ad server, or use a managed platform like Gizmott? We help you evaluate the options against your timeline, budget, and technical constraints.
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Ready for a strategy conversation?
We typically start with a 30-minute discovery call, then scope a focused engagement. No long-term commitment required.