Strategy · Buying

Every enterprise software company is becoming an AI company.

By the end of 2026, an estimated 40% of enterprise applications will embed task-specific AI agents — up from under 5% in 2025 (industry analysis). Which means every renewal conversation you have this year will feature an AI tab. Most of them will not survive contact with your actual work.

The 5%-to-40% shift

The economics are simple: adding an “AI agent” to an existing product defends the renewal and justifies the price increase. Some of these embedded agents are genuinely useful. Many are what the industry has started calling agent-washing — a chat window stapled to the same product, demoed on clean sample data, priced as transformation. With 97% of executives reporting agent deployments and 79% of organizations reporting adoption struggles, the gap between the two is now the central buying problem in enterprise software.

Checkbox AI vs. working AI

The difference is not the model — everyone rents the same ones. It is whether the AI is accountable to your workflow. Checkbox AI summarizes and suggests; when it is wrong, that is your problem. Working AI carries a defined task — a claim, a review, a verification — against a measured accuracy bar, with an audit trail, and someone contractually on the hook for the outcome. One is a feature. The other is a vertical agent.

A buyer’s five-question test

Before you pay for any embedded AI, ask: One — can it show accuracy numbers on our historical cases, not a benchmark? Two — what exactly does it complete end-to-end, versus draft for a human to finish? Three — where is the audit trail a regulator could read? Four — what happens to the price when the underlying model gets 80% cheaper, as it just did? Five — who owns the outcome when it is wrong? Vendors with real answers welcome these questions. Vendors doing agent-washing change the subject to the roadmap.

The gap the vendors leave

Embedded AI stops at the edge of the vendor’s own product. Your most expensive workflows — prior auth, contract review, transcript evaluation, claims — cut across systems, which is exactly where per-seat software cannot follow. That cross-system, measured, operated layer is what we build: one workflow at a time, running alongside your team in 21 days, priced on the outcome rather than the seat. Buy the embedded features where they earn it. Commission the workflow layer where it counts.

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