قاعدة معرفة
مراجع الذكاء الاصطناعي للإنتاج
ملاحظات عملية وقوائم مرجعية وإرشادات التنفيذ.
Adoption ramp model
Model for forecasting and reviewing AI adoption by cohort, workflow class, enablement event, and abandonment signal.
Agentic systemsAgent authority boundary template
A practical template for defining what an agent can and cannot do.
Platform operationsAI incident postmortem structure
A postmortem structure tailored for model and workflow incidents.
AI economicsAI ROI model worksheet
Worksheet for estimating automation value from volume, cycle time, labor mix, quality lift, and operating cost.
Process automationAutomation containment metric set
Metric set for distinguishing clean containment, assisted containment, escalation quality, rework, and manual rescue.
AI economicsBenchmark instrumentation checklist
Checklist for proving production AI value through measurable throughput, quality, cost, and risk signals.
Industry patternsClaims operations evidence model
Evidence model for claims workflows that need policy context, document provenance, reviewer decisions, and exception routing.
Delivery strategyClient handoff readiness scorecard
Scorecard for transitioning AI operations to client-side ownership.
Retrieval operationsContent ingestion runbook
Runbook for ingestion jobs, freshness validation, and failure recovery.
Reasoning qualityCounterfactual test design guide
How to create case variants that expose brittle reasoning patterns.
Reasoning qualityDecision quality rubric
Rubric for scoring AI-supported decisions across factuality, evidence coverage, judgment quality, policy fit, and action readiness.
GovernanceEscalation packet reference
Recommended fields for high-signal escalation handoffs.
Industry patternsIndustry AI rollout checklist
Checklist for adapting AI pilots to domain-specific workflows, controls, measurements, and stakeholder review.
Platform operationsModel routing policy template
Define model selection policy by task complexity and risk class.
Delivery strategyOperating cadence checklist
Weekly and monthly rituals for keeping AI delivery accountable.
Delivery strategyProduction AI readiness checklist
Readiness checks for data, approvals, observability, and ownership.
Platform operationsProvider fallback drill plan
Drill plan for testing provider fallback, degraded mode, cached-answer behavior, and shutdown decisions.
Industry patternsPublic-sector AI control checklist
Control checklist for public-service AI covering transparency, escalation, accessibility, records, and accountability.
Reasoning qualityReasoning verifier chain template
Template for checking evidence support, policy fit, assumptions, and escalation readiness in reasoning workflows.
Retrieval operationsRetrieval drift response runbook
Runbook for diagnosing retrieval drift across source updates, ingestion jobs, permissions, ranking, and answer support.
Retrieval operationsRetrieval quality basics
Core quality dimensions for source-grounded answer systems.
Retrieval operationsRetrieval source quality scorecard
Scorecard for source freshness, authority, permissions, conflict risk, coverage, and operational owner readiness.
Platform operationsRuntime incident triage checklist
Checklist for classifying AI runtime incidents by failing layer, impact, fallback state, owner, and customer exposure.
Process automationSLA risk routing patterns
Patterns for routing queues based on SLA risk and business impact.
Industry patternsSupply-chain exception taxonomy
Taxonomy for classifying logistics and supply-chain exceptions by impact, owner, evidence, route, and service-level risk.
Process automationTicket queue observability metrics
Queue metrics that matter for AI-supported service operations.
AI economicsUnit economics control sheet
Control sheet for cost per completed outcome across model spend, tool calls, retrieval, review effort, exceptions, and support.
Process automationWorkflow exception taxonomy
Taxonomy for classifying automation exceptions by trigger, owner, fallback path, evidence need, and resolution target.