Your pilot worked. Now 80% of organizations fail to scale it. This playbook ensures yours doesn't.
The first agent project always succeeds. It has executive attention, a hand-picked team, and a forgiving scope. Then scaling begins — and organizations hit three predictable walls: governance gaps, cost explosions, and shadow AI proliferating across every department. This playbook maps every wall and gives you the architecture to break through them.
Written by a finance leader who has built and deployed multi-agent systems across enterprise environments, Scaling AI Agents delivers the platform blueprints, cost models, security frameworks, and maturity diagnostics you need to move from a single successful pilot to full enterprise-wide AI agent deployment.
Inside you will find:
Whether you are a CIO building an enterprise AI platform, a VP of Engineering standing up an agent Center of Excellence, or a program manager tasked with scaling AI from one team to fifty — this playbook gives you the frameworks, templates, and deployment patterns to scale without breaking what already works.
The scaling truth: Pilot success is not a predictor of enterprise success. The organizations that scale are the ones that build the platform before they need it.
Book 10 of the Agentic AI Playbooks for Executives Series. New playbooks release weekly.
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