Worksheet5 files · Assess
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
baciu.com 服务领域
Prompt injection defense kit
A security operations kit for testing, monitoring, and responding to prompt injection across retrieval, tools, memory, and agent workflows.
主题扩展
深入该交付面的页面
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
查看页面Governance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
查看页面Retrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
查看页面Model operations runbook
A production runbook for model routing, fallback, cost controls, latency, tracing, degraded mode, and release review.
查看页面Executive AI roadmap brief
A board-ready outline for connecting AI initiatives to outcomes, risk gates, build sequence, and decision cadence.
查看页面AI incident tabletop
A tabletop exercise for AI services that can produce wrong answers, unsafe actions, policy violations, or outage cascades.
查看页面Agent operating model
A practical operating model for assigning ownership across AI product, platform, risk, operations, and business teams.
查看页面Workflow intake template
A structured intake template for deciding whether a process should become an assistant workflow, agent workflow, or deterministic automation.
查看页面Delivery artifact
Prompt injection defense kit
Use these files as the starting point for a workshop, operating review, or delivery handoff.
Narrative outlineDefense kit
A security operations kit for testing, monitoring, and responding to prompt injection across retrieval, tools, memory, and agent workflows.
Attack scenariosCSV scenariosScenario catalog for indirect injection, tool misuse, data exfiltration, memory poisoning, and instruction override.
Defense controlsCSV controlsControl map for content isolation, source trust, tool gating, refusal checks, logging, and escalation.
Defense schemaJSON schemaStructured fields for attack class, target surface, expected behavior, control response, and release decision.
Security review briefReview briefSecurity review brief for prompt injection findings, release blockers, accepted risk, and remediation owners.
Incident mapJSON incident mapIncident map for injection detection, containment, source removal, tool revocation, customer notice, and postmortem.
Resource library
Delivery artifacts that make the site operational, not just informational.
Use these outlines as starting points for assessments, runbooks, governance reviews, and executive planning.
352artifacts
10phases
202formats
Matrix5 files · Govern
Governance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Eval set5 files · Validate
Retrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
交付图谱
面向能力、项目与系统的高级导航器。
筛选、对比并直达 AI 架构、执行与治理的详细页面。
实施库
Adoption enablement kit
An enablement kit for driving trusted AI adoption through training, champion networks, feedback loops, and behavior metrics.
Agent cost allocation model
A finance model for attributing AI runtime cost by workflow, department, customer segment, provider, and outcome.
Agent incident communications plan
A communications plan for AI incidents covering internal escalation, customer updates, regulatory notice, and postmortems.
Agent operating model
A practical operating model for assigning ownership across AI product, platform, risk, operations, and business teams.
Agent release governance kit
A release governance kit for managing prompt, model, policy, retrieval, and tool-authority changes in agentic systems.
AI data loss prevention kit
A data-boundary kit for preventing sensitive data leakage across prompts, retrieval, logs, model providers, tools, and exports.
AI data processing addendum
A review outline for documenting AI data handling, retention, subprocessors, residency, and customer control requirements.
AI economics benchmark pack
A benchmark pack for measuring AI value across baseline cost, adoption, unit economics, and value-review decisions.
AI economics control plane kit
A control kit for managing AI value through adoption curves, unit economics, operating cost, quality signals, and scale decisions.
AI incident communications kit
An incident communications kit for AI failures covering internal escalation, customer messaging, regulatory notice, and postmortem evidence.
AI incident tabletop
A tabletop exercise for AI services that can produce wrong answers, unsafe actions, policy violations, or outage cascades.
AI operating cadence pack
A cross-functional operating cadence for weekly AI service reviews, monthly value decisions, release gates, and escalation ownership.
AI portfolio prioritization kit
A portfolio prioritization kit for ranking AI opportunities by value, feasibility, risk, operating readiness, and learning leverage.
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
AI service SLO template
A service-level objective template for AI latency, quality, cost, availability, escalation, and degraded-mode behavior.
Automation rollout runbook kit
A rollout runbook for moving AI-assisted workflows from pilot to controlled scale with queue gates, training, controls, and adoption metrics.
Autonomy risk register
A risk register for tracking AI authority, reversibility, sensitive data exposure, failure modes, mitigations, and owners.
Cost and latency dashboard
A dashboard outline for monitoring provider mix, cost drift, latency budgets, fallback rates, and quality regressions.
Customer support AI operations kit
An operations kit for AI-assisted support queues covering triage policy, containment metrics, escalation, QA, and customer communications.
Data source inventory
A source inventory for mapping owners, freshness, permissions, quality issues, retention rules, and ingestion priority.
Evaluation regression suite kit
A regression suite for AI releases covering task quality, source grounding, safety, tool behavior, latency, and cost movement.
Evaluation release gate
A release-gate template that connects evaluation results, known regressions, approval decisions, rollback, and launch notes.
Executive AI roadmap brief
A board-ready outline for connecting AI initiatives to outcomes, risk gates, build sequence, and decision cadence.
Executive steering pack
A steering-committee packet for connecting AI portfolio decisions to milestones, risks, spend, and operating outcomes.
Finance close automation evidence kit
A finance operations kit for AI-assisted reconciliation, variance explanation, close controls, reviewer evidence, and audit-ready reporting.
Financial services model risk ops kit
A model risk operations kit for financial services AI systems covering evidence, approvals, monitoring, controls, and audit readiness.
Governance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Healthcare AI safety intake kit
A healthcare AI safety intake kit for triaging clinical-adjacent workflow ideas before pilot, procurement, or production rollout.
Human approval policy
A policy template for defining which AI decisions require approval, who approves them, and what evidence is required.
Insurance claims AI control kit
A claims operations kit for using AI across intake, coverage evidence, adjuster review, leakage monitoring, and customer communications with explicit controls.
Logistics exception control tower kit
A logistics operations kit for detecting shipment, inventory, carrier, supplier, and customer-commitment exceptions with evidence-backed recovery paths.
Manufacturing quality intelligence kit
A manufacturing AI kit for connecting quality signals, maintenance notes, production exceptions, and operator feedback into governed intelligence loops.
Memory and context governance kit
A context-governance kit for deciding what AI systems may remember, retrieve, personalize, retain, forget, and expose to users.
Model fallback decision tree
A decision tree for routing between models, cached answers, degraded mode, escalation, and temporary shutdown.
Model observability telemetry kit
A telemetry kit for model-backed services covering request traces, quality signals, cost, latency, fallback, and incident triggers.
Model operations control plane kit
An operating kit for model routing, runtime incident triage, provider fallback drills, release gates, and remediation ownership.
能力雷达
AI 实施优先级的交互式地图。
选择运营视角和时间跨度，查看相关路径、信号和决策页面。
执行蓝图
该能力如何扩展为生产级服务。
每个领域都通过明确的定义、可度量的验证和可交接给客户团队的运营治理来交付。
运营检查清单
这项工作会交付什么。
01
架构
A clear system map covering models, tools, data, workflows, users, and failure modes.
查看页面02
评估
Task sets, regression checks, and release criteria for measurable AI behavior.
查看页面03
控制
Human approval, access, logging, data-boundary, and incident-response rules.
查看页面04
交接
Documentation and ownership so the client can operate the system after launch.
查看页面覆盖地图
该交付领域的配套页面
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
查看页面Governance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
查看页面Retrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
查看页面Model operations runbook
A production runbook for model routing, fallback, cost controls, latency, tracing, degraded mode, and release review.
查看页面相关页面
将代表性 AI 部署重写为可复用模式。
Resource library
Downloadable implementation outlines for teams planning, evaluating, governing, and operating production AI systems.
查看页面AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
查看页面Governance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
查看页面