The production commitment depends on a data-handling answer the current gateway cannot rewrite.
The CTO is protecting delivery speed and consolidated AI infrastructure, while the risk committee is protecting jurisdictional control.
Who you’d be doing this for
“I need one answer for the committee, not three different versions of where the prompts go.”
Kalisa Ngugi · AI Platform Engineer
Owns the production inference path and must explain the chosen architecture to the buyer’s CTO and risk committee.
What is at stake
A $2 million platform agreement is stalled because the buyer cannot reconcile production AI traffic with its residency requirements. You must weigh a credible multi-product commitment against terms that will survive technical and risk review.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- production speed vs jurisdictional control
- platform commitment vs capability truth
- CTO sponsorship vs risk approval
- short procurement window vs durable terms
Why Cloudflare
AI Gateway and Workers AI are being considered together as the buyer’s operating layer for multi-provider inference.
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.