Part 4: Strategic Playbook - Adopting Post‑Transformer LLMs in Enterprise Products

1. Pick a lean base – SSM or Flash‑3‑optimised Transformer under 10 B params.

   
   

2. Layer MoE heads sparingly – start with <16 experts aligned with major product features.

   
   

3. Add Retrieval & Memory early – grounding and recall kill hallucinations before launch.

   
   

4. Quantise & sparsify for edge – INT4 + 2:4 sparsity gives ~2× throughput at negligible loss.

   
   

5. Embed guardrails – integrate prompt/output filters and rule DSLs in the main loop; auditors love deterministic check layers.

   
   

6. Sim‑in‑the‑loop regression – world‑models let you A/B dangerous scenarios without crashed cars or broken grippers.

   
   

7. Organise adapter libraries – treat tone, locale, or product line as hot‑swappable modules; CI pipelines can auto‑test each adapter.

   
   

   Bottom line: The post‑Transformer toolbox is mature enough to ship revenue‑bearing, safety‑critical systems in 2025–26. Early movers in robotics and mobility are already proving the pattern — now it’s time for mainstream industry to follow.