Vertical AI: the end of generalist models, the rise of workflow agents

The end of generalist models, and the rise of business "workflow agents".

Players like Airship, Certinia and Qlik are deploying fleets of specialized agents (Campaigns, Operations, Data Engineering) rather than chat copilots.

The Fact

We're witnessing a convergence: AI is leaving the field of content generation and entering that of workflow orchestration. TORQ AI promises a production rollout in 30 days with 3x ROI by connecting natively to existing cloud environments (GCP).

The Read

This is the move from "psychological Reassurance" (having a chatbot to ask questions) to "operational Assurance" (having agents that execute tasks). These tools only work because they attack specific "complexity strongholds". They don't ask you to change paradigm — they automate the "run" to force the organization to focus on "discovery".

The Takeaway

The real trade-off is now: less Delivery, more Discovery.

Specialized AI should take over 80% of execution to free managerial attention for customer intimacy and breakthrough innovation. If your AI projects are still carried by IT alone, you are building a code factory where you should be building a value factory.