GPT-4o pricing swung 50% in eighteen months. Availability incidents hit production services. And every quarter, a competitor ships a model that beats yours on your exact use case.

Staying single-vendor in 2026 is a choice. The problem: almost nobody actually chose it. It settled in.

Lock-In by Default

OpenAI dominated the first cycle of generative AI. Documentation, quality, ecosystem: the gravity was natural.

Most projects were built on it, and the inertia persists.

Yet the landscape has changed. Some models now beat GPT-4o on reasoning, others on multilingual or European-language work.

On the voice side, STT and TTS alternatives offer radically different cost-latency profiles.

Teams know this. And they don't move. Because in a monolithic system, switching providers takes weeks: abstracting API calls, harmonizing formats, regression-testing every critical behavior, redeploying. The switching cost is so disproportionate that the decision is no longer free.

That's lock-in. Not a contract clause, an architecture.

The Risk That Compounds in Silence

Single-vendor dependency makes no noise. It compounds.

A unilateral price increase: you absorb it. An availability incident: you have no plan B. A usage policy change: you adapt. A better model at a competitor: you watch it go by.

Each event, taken alone, seems manageable. Their sum defines who controls your conversational product. Hint: it's no longer you.

A Provider Registry, Not a Marriage

At Scenaro, multi-provider isn't an option, it's the base architecture. Scenarios point to a registry of decoupled providers: the conversational LLM, the summarization model, and the search models are independent of each other.

Concretely: you swap the STT without touching the LLM. You test a new model on a staging scenario, compare in real conditions, publish if it wins. Switching providers becomes what it always should have been, a setting, not an engineering project.

And the API keys stay yours. Scenaro composes the voice stack; it doesn't resell the provider's voice. You pay OpenAI, Anthropic, Deepgram, or ElevenLabs directly, at actual cost, with no hidden margin on models. The day you want to leave, your keys leave with you.

That's how the production experiences run, Club Français du Vin, Urbansider, Lupi: each scenario assembles the providers that fit its context, and that assembly gets revised without a rewrite.

Scenaro sits above the voice stack, the experience layer, not inside it. That's precisely what makes the stack swappable.

Lock-in never materializes with a bang. It erodes, invoice after invoice, incident after incident. The question isn't whether you should diversify your providers. It's how long you can afford not to.

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