The AI customer needs assurance for its next ingest while the agreement could set a lasting precedent.
The customer protects training continuity while internal leadership protects durable, consistent commercial terms.
Who you’d be doing this for
“My researchers lost a day waiting on writes, and the board wants to know what changes before the next run.”
Seoyeon Sato · Chief Technology Officer
He is accountable for an AI platform whose training datasets are ingested and stored through R2.
What is at stake
A regional write failure paused a three-year AI agreement 10 business days before the next ingest. You must weigh customer continuity against terms that could shape every similar negotiation.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- customer continuity vs contractual precedent
- revenue retention vs verified reliability claims
- short-term recovery vs long-term account commitment
- technical assurance vs scalable supportability
Why Cloudflare
R2 sits beneath AI data workflows where a write failure turns technical recovery into a high-stakes enterprise commitment.
Written with these in mind
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This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.