Agentic AI Implementation: A Pilot-to-Production Checklist
A pragmatic checklist that turns an impressive agentic demo into a system you can put in front of customers.
Agentic AI implementation succeeds or fails on the unglamorous work between a working demo and a dependable system. This is the checklist we run at UdgamAI before any agentic system goes in front of real users. Treat it as a gate: if you cannot tick a line, that is your next priority.
Architecture & control
- check_circleA deterministic planner decomposes goals — agents do not improvise the whole flow.
- check_circleEvery tool has a typed, schema-validated interface with retries and guardrails.
- check_circleHigh-stakes or irreversible actions require human-in-the-loop approval.
- check_circleShared and long-term memory are explicit, scoped, and access-controlled.
Evaluation & quality
- check_circleA graded evaluation set runs automatically on every change.
- check_circleRegression thresholds block deploys that reduce quality.
- check_circleAdversarial / red-team cases cover prompt injection and abuse.
Observability
- check_circleEvery agent step is logged and fully replayable.
- check_circleTraces link inputs, retrieved context, tool calls, and outputs.
- check_circleAlerts fire on failure spikes, latency, and cost anomalies.
Cost, latency & reliability
- check_circlePer-task token cost and latency are measured and budgeted.
- check_circleCaching and model routing send cheap tasks to cheap models.
- check_circleGraceful degradation and fallbacks handle model/tool outages.
Governance
- check_circleData handling and permissions are documented and enforced.
- check_circleModel cards and audit logs support compliance reviews.
- check_circleA clear owner is accountable for the system in production.
If you cannot replay exactly what your agent did, you are not ready for production — you are running an experiment in front of customers.
Most teams can build an impressive agent. Far fewer can operate one reliably. UdgamAI specialises in exactly this transition — taking agentic systems from clever demo to dependable, observable, governed production. If you are partway down this checklist and stuck, that is where we add the most value.
Stuck between pilot and production?
That is exactly where UdgamAI works. Tell us where you are and we'll come back with a concrete, costed plan for the next 90 days.
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