How do I avoid AI vendor lock-in?
Multi-model orchestration. Aegis is model-agnostic by design: route tasks to the best-fit model per task, risk, cost, and environment. Never tie product identity to a single vendor.
The short answer.
Multi-model orchestration. Aegis is model-agnostic by design: route tasks to the best-fit model per task, risk, cost, and environment. Never tie product identity to a single vendor.
This is a question Aegis hears regularly during discovery. Here is the practical way to frame it.
How Aegis approaches this.
Aegis Boardroom's answer is shaped by three frameworks. Truth Architecture: recommendations are designed to be source-traced. Confidence Contract: recommendations are mapped to the canonical Aegis confidence states (I Know / I Think / I'm Inferring / I Don't Know). Life Integrity Engine: recommendations that may increase irreversible-harm risk are flagged for refusal or human review, not softened.
The fastest path is the AI Readiness Assessment: it returns a confidence-mapped band for your specific situation. From there, the Quick Win Plan or a deeper engagement scopes the right paid Aegis next step.
Frequently asked questions.
What does vendor lock-in with AI actually look like?
It's when your product or workflow is tied to one provider so switching becomes costly. Aegis avoids it by staying model-agnostic: routing each task to the best-fit model for that task, risk, cost, and environment.
Doesn't using multiple models add complexity?
Aegis handles that with multi-model orchestration: a person owns the routing rules so you don't carry the complexity. The bigger risk is tying your product identity to a single vendor.
What happens when a better or cheaper model comes out?
With a model-agnostic setup you move the task to it. Lock-in is what stops you from doing that.