Thesis • Agentic AI • Programmatic CTV
The Thesis
Agentic buying/selling will not win on cool prototypes. It will win in production—where execution is easiest.
Why now
Today, CTV revenue is trapped in workflow friction: packaging, deal setup, creative QA, measurement mapping, supply-path complexity, and troubleshooting. As agents emerge, spend will route to platforms and sellers who make execution feel like checkout: simple, auditable, repeatable.
What changed
What changed (and raises urgency): the agentic “execution layer” is moving from concept to real reference implementations + standards extensions—including Prebid taking stewardship of AdCP-based seller-agent code (the “Prebid Sales Agent”), and IAB Tech Lab publishing an agentic roadmap that emphasizes interoperable, governed execution.
The problem
Most organizations are not “agentic-ready” because inventory and offers are not consistently machine-executable, and workflow paths aren’t reliably repeatable end-to-end.
This creates an activation/integration tax that slows time-to-spend, reduces repeat spend, and strands revenue. It also creates a governance tax: without permissions, approvals, and audit logs, enterprises won’t let agents touch premium inventory or budgets at scale.
My role
I help platforms and publishers clean up inventory and packaging so it’s ready for agentic execution — without consuming product roadmap. I translate strategy into practical machine-readable offer specs, partner workflows, and a pilot that proves measurable outcomes.
Scale premium without commoditization
Historically, the most premium publisher inventory (tentpole moments, sponsorship-like placements, high-impact CTV units, curated pods) avoided automation because “programmatic” too often meant loss of control and price leakage. Agentic workflows flip that: premium becomes a governed product—machine-readable offer specs plus permissions, controls, and logging—so execution is fast and protected.
Platforms and publishers can safely scale premium monetization by making terms enforceable (who can buy, what they get, how it runs, what gets measured), preserving scarcity and differentiation while eliminating manual friction.
The 30-Day Agentic Readiness Sprint
In ~30 days, you have:
- a clear view of what’s blocking agentic execution,
- machine-readable offer specs + “gold standard” offers, and
- a pilot plan with success metrics — without major platform rewrites.
What gets delivered
- Agentic Readiness Scorecard: what’s clean, what’s messy, what to fix first (tied to revenue impact)
- Offer Specs + Gold Standards: naming, rules, eligibility, measurement mapping, required metadata, plus governance fields (owners/approvals/change log)
- CTV Format Mapping (where relevant): standardize high-impact formats (e.g., Pause/Menu) + creative requirements to reduce QA churn and failed launches
- Pilot Plan + KPI Dashboard: time-to-launch, repeat spend, yield/fill, measurement clarity, and what becomes fully executable vs. where HITL is required
How success is measured
- Launch cycle time: days → hours
- Fewer manual steps / fewer escalations
- Higher repeat spend + adoption
- Better yield/fill and fewer stranded impressions
- Cleaner measurement alignment
- % of offers executable without human intervention (and where approvals are required: time-to-approval)
- Premium CPM integrity: premium automation volume up without premium CPM dilution
Engagement model
A short kickoff + weekly working sessions with your functional owners (product/ops/partnerships/sales). I keep the scope tight, focus on executable changes, and hand your team a repeatable playbook.
Contact
Ken Ripley — Ripley Media Agentic