Where this fails.

A function builds an impressive agent, demos it, generates internal excitement — and then discovers that scaling it requires data integration work, governance work, and change-management work that nobody scoped. The pilot becomes a parable about why innovation is hard, rather than a foundation for further work.

An enterprise commits early to a single vendor's agentic platform on the promise that everything will work together inside it. Two years in, the rest of the enterprise's reality — other systems, other data, other vendors — refuses to fit inside that single platform's worldview. The investment doesn't get retired; it gets quietly worked around.

An organization announces an autonomous initiative, deploys agents in low-stakes domains, generates impressive-sounding metrics, and avoids the harder domains where autonomy would matter. After three years, the share of consequential decisions made autonomously has not meaningfully moved.

When an agent makes a mistake with a customer, a regulator, or a partner, no one in the organization can clearly answer who is accountable. The agent is not a legal person; the team that deployed it has moved on; the executive sponsor has rotated. The next incident is worse, because nothing was learned from the first.