canary rollout
A small initial rollout to a limited user group or workflow slice to catch issues before the broader release sees them.
The canary rollout exposed a permissions bug before the national team saw it.
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203 approved definitions. Showing 141–160 of 203.
staged rollout
A rollout that expands gradually across users, teams, regions, features, or permissions to control risk and learn from early usage before going broad.
The staged rollout kept write access limited to supervisors for the first week.
cutover
The switch from the old process or system path to the new deployed one.
The cutover happened after the last batch job completed.
launch checklist
A checklist of everything that must be true before go-live: owners named, access confirmed, evals passed, tests done, monitoring active, comms sent, support ready, and fallbacks in place.
The launch checklist caught that nobody had trained the night-shift supervisors.
rollback plan
A predefined way to safely revert, disable, or bypass a deployed change if it causes problems in production. Required before any write-capable agent goes live.
The FDE refused to launch the write-back action without a rollback plan.
go-live support
Hands-on FDE support around launch: monitoring, triage, fixes, user help, rollback decisions, and escalation management. The FDE stays until the workflow is stable.
The FDE stayed in go-live support until the first hundred cases processed cleanly.
deployment blocker
A launch-blocking issue in the deployment path — often not an engineering problem but unclear business ownership, missing approval, or an unresolved data issue.
The deployment blocker was not engineering effort; it was unclear business ownership.
rapid prototype handoff
The transfer of a prototype to the team that will productionize or operate it — with assumptions, known gaps, code, data dependencies, and next steps documented. Fails when the mock data source is undocumented.
The rapid prototype handoff failed because nobody documented the mock data source.
pilot-to-production path
The concrete sequence of work needed to move from prototype or pilot to production: owners, security, data, integration, evals, training, and support. Should be written down before the pilot starts.
The pilot-to-production path listed SSO, audit logging, and supervisor training as launch gates.
systems-of-action deployment
A deployment that doesn't just surface information — it triggers, updates, approves, or coordinates actions in operational systems. Requires stronger permissions, audit, and fallback design.
The systems-of-action deployment wrote approved updates back into the CRM.
field deployment
A deployment delivered in close collaboration with the customer environment — not generic self-serve configuration. Usually requires custom data mapping, integration work, or workflow design.
The field deployment required custom data mapping for the customer's asset hierarchy.
live deployment
A deployment currently used by real users against production or production-like systems.
The live deployment broke when the customer's identity provider changed group names.
enterprise AI deployment
Deploying AI into an enterprise environment with production controls: SSO, permissions, audit, data governance, monitoring, support, and change management all required.
The enterprise AI deployment needed security review before users could upload customer data.
AI agent deployment
Launching an agent that can use customer context and tools under defined permissions, guardrails, evals, observability, and human handoffs — not just prompting a model in production.
The AI agent deployment started in read-only mode before allowing approved write-back.
deployment
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.
The FDE considered deployment unfinished until the support team knew how to handle failures.
adoption workflow
A workflow design that makes the new capability part of normal work instead of an optional side tool users have to remember to visit.
The adoption workflow put the AI summary inside the ticket review screen.
adoption playbook
A reusable set of tactics for driving usage: champion prep, training, launch comms, metrics, office hours, escalation paths. Updated with each deployment.
The FDE updated the adoption playbook after learning supervisors needed a separate walkthrough.
adoption path
The sequence from first champion to durable production usage. For example: pilots, training, owner handoff, metrics, and expansion.
The adoption path started with five reviewers and ended with the queue becoming mandatory.
adoption loop
A repeatable cycle: ship, watch real usage, collect feedback, remove friction, expand. Run it weekly until the workflow is boring and reliable.
The FDE ran the adoption loop weekly until the workflow became boring and reliable.
model adoption blocker
A blocker specific to trusting model output: hallucinations, missing citations, brittle prompts, failed evals, or unclear accountability for wrong answers.
The model adoption blocker disappeared once every answer cited the customer policy it used.