Base de conhecimento

Referências de IA de produção

Notas práticas, listas de verificação e orientações de implementação.

AI economics

Adoption ramp model

Model for forecasting and reviewing AI adoption by cohort, workflow class, enablement event, and abandonment signal.

Agentic systems

Agent authority boundary template

A practical template for defining what an agent can and cannot do.

Platform operations

AI incident postmortem structure

A postmortem structure tailored for model and workflow incidents.

AI economics

AI ROI model worksheet

Worksheet for estimating automation value from volume, cycle time, labor mix, quality lift, and operating cost.

Process automation

Automation containment metric set

Metric set for distinguishing clean containment, assisted containment, escalation quality, rework, and manual rescue.

AI economics

Benchmark instrumentation checklist

Checklist for proving production AI value through measurable throughput, quality, cost, and risk signals.

Industry patterns

Claims operations evidence model

Evidence model for claims workflows that need policy context, document provenance, reviewer decisions, and exception routing.

Delivery strategy

Client handoff readiness scorecard

Scorecard for transitioning AI operations to client-side ownership.

Retrieval operations

Content ingestion runbook

Runbook for ingestion jobs, freshness validation, and failure recovery.

Reasoning quality

Counterfactual test design guide

How to create case variants that expose brittle reasoning patterns.

Reasoning quality

Decision quality rubric

Rubric for scoring AI-supported decisions across factuality, evidence coverage, judgment quality, policy fit, and action readiness.

Governance

Escalation packet reference

Recommended fields for high-signal escalation handoffs.

Industry patterns

Industry AI rollout checklist

Checklist for adapting AI pilots to domain-specific workflows, controls, measurements, and stakeholder review.

Platform operations

Model routing policy template

Define model selection policy by task complexity and risk class.

Delivery strategy

Operating cadence checklist

Weekly and monthly rituals for keeping AI delivery accountable.

Delivery strategy

Production AI readiness checklist

Readiness checks for data, approvals, observability, and ownership.

Platform operations

Provider fallback drill plan

Drill plan for testing provider fallback, degraded mode, cached-answer behavior, and shutdown decisions.

Industry patterns

Public-sector AI control checklist

Control checklist for public-service AI covering transparency, escalation, accessibility, records, and accountability.

Reasoning quality

Reasoning verifier chain template

Template for checking evidence support, policy fit, assumptions, and escalation readiness in reasoning workflows.

Retrieval operations

Retrieval drift response runbook

Runbook for diagnosing retrieval drift across source updates, ingestion jobs, permissions, ranking, and answer support.

Retrieval operations

Retrieval quality basics

Core quality dimensions for source-grounded answer systems.

Retrieval operations

Retrieval source quality scorecard

Scorecard for source freshness, authority, permissions, conflict risk, coverage, and operational owner readiness.

Platform operations

Runtime incident triage checklist

Checklist for classifying AI runtime incidents by failing layer, impact, fallback state, owner, and customer exposure.

Process automation

SLA risk routing patterns

Patterns for routing queues based on SLA risk and business impact.

Industry patterns

Supply-chain exception taxonomy

Taxonomy for classifying logistics and supply-chain exceptions by impact, owner, evidence, route, and service-level risk.

Process automation

Ticket queue observability metrics

Queue metrics that matter for AI-supported service operations.

AI economics

Unit economics control sheet

Control sheet for cost per completed outcome across model spend, tool calls, retrieval, review effort, exceptions, and support.

Process automation

Workflow exception taxonomy

Taxonomy for classifying automation exceptions by trigger, owner, fallback path, evidence need, and resolution target.