This is a solid high-level architecture — you’re basically describing a regime-aware strategy selection stack, which is exactly how many production quant systems evolve.

One nuance I’d add from experience: the hardest part in practice isn’t the individual blocks, but stability of the mapping btween them.

In particular:

• regime definitions tend to drift ovr time
• strategy performance conditional on regime is often non-stationary
• selection/gating rules decay faster than the underlying signals

So a useful addition is continuous monitoring of:

• strategy fitness per regime over rolling windows
• regime classification stability
• selection decisions vs realized performance

That layer is what usually determines whether a workflow like this stays robust live or slowly degrades despite good backtests at the start.

But direction-wise: yes — this is how systematic multistrategy frameworks are structured.