Own the Claw, Not the Toys: Why Customer Service Needs a Model-Agnostic AI Architecture
India alone has 31 voice AI companies, and the models behind the best demos keep trading places at the top. This whitepaper argues for a model-agnostic foundation, where models, voice providers, and transcribers can be swapped without rebuilding the workflows, oversight, and history built around them.
Inside the report
The Demo Gap: Why a demo shows what a model does today, and what choosing it locks in for later.
The Leaderboard Problem: How fast the top moves, from Kimi’s jump from 18th to 1st to repeated lead changes among OpenAI, Anthropic, and Google, and why a model-agnostic architecture works like an ETF for CX.
The Three Layers: Which parts of the CX stack rotate with the models and which hold their value.
The Switch: How Vitos swaps the model, voice provider, transcriber, or knowledge base independently, tested in a sandbox before live traffic moves.
The Safeguards: How Command, Calibrate, and Pulse keep oversight, quality, and learning steady when the model underneath changes.
Why it matters
For an organization on a model-agnostic foundation, each new leading model is an upgrade. For one built around a single vendor, it is a migration.
This is what a CX stack looks like when it is built to outlast the model running on it.
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