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AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Domaine Baciu.com
AI service SLO template
A service-level objective template for AI latency, quality, cost, availability, escalation, and degraded-mode behavior.
Notre approche
Nous partons du processus, des utilisateurs et des modes d'échec avant de choisir l'architecture mesurable la plus simple.
Voir la pageLe bon résultat
Un bon système IA conserve les sources, les évaluations, la télémétrie et des règles d'escalade claires.
Voir la pageReadiness before autonomy
- Score business value, data readiness, action safety, evaluation coverage, and operational ownership.
- Separate assistant workflows from agentic workflows before authority expands.
- Turn weak scores into specific remediation work instead of vague risk notes.
Extension du sujet
Pages qui approfondissent cette surface de livraison
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Voir la pageGovernance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Voir la pageRetrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
Voir la pageModel operations runbook
A production runbook for model routing, fallback, cost controls, latency, tracing, degraded mode, and release review.
Voir la pageExecutive AI roadmap brief
A board-ready outline for connecting AI initiatives to outcomes, risk gates, build sequence, and decision cadence.
Voir la pageAI incident tabletop
A tabletop exercise for AI services that can produce wrong answers, unsafe actions, policy violations, or outage cascades.
Voir la pageAgent operating model
A practical operating model for assigning ownership across AI product, platform, risk, operations, and business teams.
Voir la pageWorkflow intake template
A structured intake template for deciding whether a process should become an assistant workflow, agent workflow, or deterministic automation.
Voir la pageDelivery artifact
Download outlineAI service SLO template
Use this document as the starting point for a workshop, operating review, or delivery handoff.
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.
30artifacts
10phases
29formats
MatrixGovern
Governance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Eval setValidate
Retrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
Atlas de livraison
Navigateur avancé pour capacités, programmes et systèmes.
Filtrez, comparez et ouvrez les pages détaillées pour l’architecture, l’exécution et la gouvernance IA.
Bibliothèque d’implémentation
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.
AI data processing addendum
A review outline for documenting AI data handling, retention, subprocessors, residency, and customer control requirements.
AI incident tabletop
A tabletop exercise for AI services that can produce wrong answers, unsafe actions, policy violations, or outage cascades.
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
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.
Data source inventory
A source inventory for mapping owners, freshness, permissions, quality issues, retention rules, and ingestion priority.
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.
Governance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Human approval policy
A policy template for defining which AI decisions require approval, who approves them, and what evidence is required.
Model fallback decision tree
A decision tree for routing between models, cached answers, degraded mode, escalation, and temporary shutdown.
Model operations runbook
A production runbook for model routing, fallback, cost controls, latency, tracing, degraded mode, and release review.
Permission model workbook
A workbook for translating organizational roles into retrieval, tool-use, approval, logging, and audit permissions.
Post-launch adoption plan
An adoption plan for moving AI services from launch to measurable usage, feedback, training, and continuous improvement.
Production handoff checklist
A handoff checklist for moving AI systems from delivery into operated services with owners, runbooks, controls, and evidence.
Prompt change review
A release review checklist for prompt, policy, model, and tool changes before they reach production users.
Red-team scenario library
A scenario catalog for testing prompt injection, unsafe tool use, data leakage, policy bypass, and recovery behavior.
Retrieval citation audit
An audit worksheet for checking cited answers against source text, permissions, freshness, and reviewer corrections.
Retrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
Retrieval source owner map
An ownership map for knowledge sources, refresh cadence, permission rules, source quality, and escalation contacts.
Tool integration spec
A technical specification for AI-callable tools covering schema, permissions, idempotency, retries, and audit trails.
Tool permission review
A review worksheet for validating AI-callable tool scopes, sensitive actions, audit trails, and approval thresholds.
Vendor model evaluation scorecard
A scorecard for comparing model and platform vendors across quality, latency, cost, security, support, and lock-in risk.
Workflow automation ROI calculator
A calculator outline for estimating automation value from cycle time, error rate, labor mix, risk reduction, and adoption.
Workflow intake template
A structured intake template for deciding whether a process should become an assistant workflow, agent workflow, or deterministic automation.
Resource library
Downloadable implementation outlines for teams planning, evaluating, governing, and operating production AI systems.
About Baciu.com
A services practice for organizations that need AI systems designed, evaluated, shipped, and operated with accountability.
Access-management AI solutions
Use-case patterns for access requests, entitlement review, policy checks, approval packets, and identity-workflow support.
Activation et transfert
Modèles de transfert pour passer en toute confiance du support de mise en œuvre à des opérations appartenant au client.
Agent permission-scoping solutions
Permission models for deciding what agents may read, draft, recommend, approve, execute, and escalate.
Agent production-deployment solutions
Release patterns for moving agents from prototype to monitored, supported, measurable production services.
Agent studio solutions
Design and enablement solutions for defining agent behavior, permissions, tests, release controls, and handoff workflows.
Laboratoire d’exécution
Planificateur interactif pour la feuille de route d’implémentation IA.
Ajustez le rythme, l’autonomie et le profil de risque pour voir phases, dépendances et points de contrôle.
Profil de risque
Rythme de livraison
Phases recommandées
W1+2
Disponibilité des données
Pas de récupération sans discipline source
W3+3
Conception de produits IA
La confiance est une caractéristique du produit
W6+4
Orchestration des outils
Agir avec responsabilité
W10+3
Laboratoire d'évaluation de l'IA
Chaque version gagne la confiance
W13+2
Gouvernance de l'IA
Contrôler où se déroule le travail
W15+2
Activation et transfert
Les équipes clients peuvent fonctionner de manière indépendante
Radar de capacité
Carte interactive des priorités de mise en œuvre IA.
Choisissez une perspective opérationnelle et un horizon pour visualiser les pistes, les signaux et les pages de décision associées.
Pistes prioritaires
Agent cost allocation model
AI spend tied to operating value
Ouvrir la pageFeuille de route de l’IA pour les dirigeants
Stratégie avec un chemin de mise en œuvre
Ouvrir la pageGouvernance de la livraison
La gouvernance dans la boucle de livraison
Ouvrir la pageModèle de prestation en studio
Livraison conçue pour une propriété durable
Ouvrir la pageGouvernance de l'IA
Contrôler où se déroule le travail
Ouvrir la pagePlan d’exécution
Comment cette capacité s’étend en service de production.
Chaque domaine est livré via une définition explicite, une validation mesurable et une gouvernance opérationnelle transmissible aux équipes clientes.
Checklist opérationnelle
Ce qui est livré dans cette mission.
01
Architecture
A clear system map covering models, tools, data, workflows, users, and failure modes.
Voir la page02
Évaluations
Task sets, regression checks, and release criteria for measurable AI behavior.
Voir la page03
Contrôles
Human approval, access, logging, data-boundary, and incident-response rules.
Voir la page04
Passation
Documentation and ownership so the client can operate the system after launch.
Voir la pageRisques opérationnels à maîtriser
- Expansion de l’autorité autonome sans politiques d’approbation calibrées.
- Sources obsolètes ou contradictoires qui dégradent silencieusement la qualité des décisions.
- Traçabilité insuffisante des actions automatisées et des interventions humaines.
- Libérez des processus qui ignorent les scénarios de régression pertinents.
Questions fréquentes
Comment choisissons-nous où commence l’automatisation ?
Commencez par des flux de travail répétitifs et réversibles où les résultats et les limites d'échec peuvent être mesurés.
Comment prouver la qualité avant le lancement ?
Utilisez des ensembles d’évaluation, des scénarios contradictoires et des critères explicites d’autorisation/interdiction liés à l’impact commercial.
Comment l’équipe garde-t-elle le contrôle ?
Avec des limites d'autorité, des seuils de confiance, des paquets d'escalade et des traces d'exécution complètes.
Que se passe-t-il lorsque le comportement du modèle change ?
Traitez les modifications du modèle et des invites comme des versions : testez, révisez, approuvez et déployez avec des chemins de restauration.
Carte de couverture
Pages complémentaires pour cette zone
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Voir la pageGovernance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Voir la pageRetrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
Voir la pageModel operations runbook
A production runbook for model routing, fallback, cost controls, latency, tracing, degraded mode, and release review.
Voir la pagePages utiles
Déploiements IA représentatifs transformés en modèles réutilisables.
Resource library
Downloadable implementation outlines for teams planning, evaluating, governing, and operating production AI systems.
Voir la pageAI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Voir la pageGovernance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Voir la page