SERVICE / POC to production

Your demo worked. Now prove the system.

WizClaw turns a promising AI prototype into a secure product with reproducible environments, measurable quality, controlled releases, and production telemetry.

AI prototype becoming an observable production system
Moving an AI POC to production means replacing a successful demonstration with evidence about reliability, cost, latency, security, failure behavior, and business impact. The model is one component; the production system is the complete product around it.

The production gap

Prototypes usually demonstrate a happy path with a friendly dataset and an expert operator. Real users introduce ambiguous requests, missing context, tool failures, adversarial inputs, permission boundaries, changing models, and variable cost. We identify those gaps before they become customer incidents.

QUALITY

Representative evaluations

Task suites, deterministic checks, trajectory grading, and regression coverage from real failures.

CONTROL

Safe operating boundaries

Identity, least privilege, tenant isolation, human gates, budgets, and stopping conditions.

OPERATIONS

Observable releases

Traces, metrics, alerts, deployment health, rollbacks, and ongoing production review.

A productionization sequence

Baselinereproduce · measure · map
Hardenpermissions · failure paths
Evaluatetasks · graders · thresholds
Launchobserve · learn · regress

The result

You receive a production architecture, tested implementation, release criteria, observability, operating documentation, and a prioritized improvement loop. If the POC should not be productionized in its current form, we make that visible early and propose the smallest viable redesign.

Bring the POC and the hardest failure.

We will map the production gap and the fastest responsible path across it.

Book a POC review →