Hands-on FDE support around launch: monitoring, triage, fixes, user help, rollback decisions, and escalation management. The FDE stays until the workflow is stable.

A machine that can do anything that people can do, better than people.

The first narrow but valuable workflow that creates trust, proves value, and opens the door to broader deployment. Should be painful to the customer, easy to measure, and winnable.

A deployment motion where the product is self-serve or template-driven enough that less field engineering is required per customer. What FDE teams push toward after proving a pattern.

A services role associated with Accenture and Anthropic's enterprise AI deployment partnership, focused on turning AI capabilities into deployed customer workflows at scale.

Connecting a deployment to customer or cloud network resources through a controlled virtual private cloud — typically needed when the agent must reach internal APIs not exposed to the internet.

A map of the customer leaders who can fund, unblock, mandate, or kill the deployment — and what each one actually cares about.

The plan for sequencing technical work, customer decisions, risks, rollout, and handoff so implementation reaches production efficiently.

A high-touch deployment where the field team provides extra hands-on support, customization, and coordination — usually for a strategic or complex customer.

The full process of making a capability work for real users in a real environment: configuration, integration, validation, launch, and support. Not done until the support team knows how to handle failures.