Keep Your Business Above the Models
Own your organization’s knowledge and processes. Let AI models plug in underneath.
What separates one organization from another has always been what it knows and how it works.
Break that down, and an organization’s advantage comes from:
- Its people
- Its expertise
- How it makes decisions
- How quickly it turns ideas into action
In the age of AI, how do you protect this advantage and take it even further?
AI only becomes useful when it understands how your organization works.
The more context you give it, the more capable it becomes.
That creates a new problem.
Microsoft CEO Satya Nadella recently described this as the “Reverse Information Paradox”: companies pay for AI twice, once for the intelligence and again with the proprietary knowledge they give up to make it useful.
The double cost of useful AI
Money
CashUsage fees, seats, and tokens
Knowledge
ContextExpertise, decisions, and processes
One capability. Two payments.
Keep the durable layer
The best way to navigate this is to keep your business above the models.
The knowledge and processes that make your organization unique should remain yours.
Then let the AI models plug in underneath.
Today that might be Anthropic or OpenAI. Tomorrow another model may be faster, cheaper, or better suited to the task.
This lets you own the durable part of your business while the models continue to change underneath.
Your business context
Owned by you
Model choice is an economic decision
The tradeoff is already clear.
Claude Opus 5 costs $5 per million input tokens and $25 per million output tokens. DeepSeek V4 Flash costs $0.14 and $0.28—roughly 36x cheaper on input and 89x cheaper on output.
On Vals’ SWE-bench Verified evaluation, Opus scored 97% versus roughly 89% for DeepSeek V4 Flash.
Not every task needs peak capability. The advantage is choice: use the strongest model when it matters, and optimize for speed or cost when it doesn’t.
Optimize for outcomes
There is also a fundamental difference in incentives.
Model providers sell intelligence through usage.
Businesses don’t need more usage. They need better outcomes.
Sometimes that means using the most capable model available. Sometimes it means using a smaller model, traditional software, or no AI at all.
The architecture should optimize for the business, not for token consumption.
Own the layer that lasts
AI models will keep getting better.
Prices will fall. Today’s best model won’t stay the best forever.
The durable advantage is still what it has always been: what your organization knows and how it works.
Own that layer.
Let the models compete underneath.