Partner reach is pulling against the need for a coherent AI infrastructure story.
Systems integrators want a sale they can lead, while AI Platform Engineers need accountable guidance across inference cost and model access.
Who you’d be doing this for
“My CTO wants more agent features, and finance keeps asking who owns the model bill.”
Khanh Susanto · AI Platform Engineer
Runs the model-provider integrations and must explain inference spend, access controls, and reliability to engineering and finance leaders.
What is at stake
Prospects are hearing separate proposals for AI routing, security, and cost control. You must decide what a partner can credibly lead and what stays in the direct technical conversation.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- partner reach vs. technical credibility
- security narrative vs. routing simplicity
- fast ecosystem access vs. repeatable qualification
- partner ownership vs. clean customer handoff
Why Cloudflare
AI Gateway, Workers AI, and Zero Trust for AI workloads give a partner one infrastructure conversation to take to AI application development teams.
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.