WorksheetAssess
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Baciu.com Leistungsbereich
Vendor model evaluation scorecard
A scorecard for comparing model and platform vendors across quality, latency, cost, security, support, and lock-in risk.
Unser Ansatz
Wir starten mit Prozess, Nutzern und Fehlermodi und wählen dann die kleinste messbare Architektur.
Seite öffnenWas gut aussieht
Ein gutes KI-System zeigt Quellen, Evaluationen, Telemetrie und klare Eskalationsregeln.
Seite öffnenReadiness 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.
Themenvertiefung
Seiten mit tieferem Fokus auf diese Lieferfläche
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Seite öffnenGovernance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Seite öffnenRetrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
Seite öffnenModel operations runbook
A production runbook for model routing, fallback, cost controls, latency, tracing, degraded mode, and release review.
Seite öffnenExecutive AI roadmap brief
A board-ready outline for connecting AI initiatives to outcomes, risk gates, build sequence, and decision cadence.
Seite öffnenAI incident tabletop
A tabletop exercise for AI services that can produce wrong answers, unsafe actions, policy violations, or outage cascades.
Seite öffnenAgent operating model
A practical operating model for assigning ownership across AI product, platform, risk, operations, and business teams.
Seite öffnenWorkflow intake template
A structured intake template for deciding whether a process should become an assistant workflow, agent workflow, or deterministic automation.
Seite öffnenDelivery artifact
Download outlineVendor model evaluation scorecard
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.
Delivery-Atlas
Erweiterter Navigator für Fähigkeiten, Programme und Systeme.
Filtern, vergleichen und direkt in Detailseiten für KI-Architektur, Ausführung und Governance wechseln.
Implementierungsbibliothek
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.
AI service SLO template
A service-level objective template for AI latency, quality, cost, availability, escalation, and degraded-mode behavior.
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.
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.
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.
Agent test-sandbox solutions
Sandbox environments for validating agent behavior against realistic data, tools, edge cases, and failure modes.
Ausführungslabor
Interaktiver Planer für KI-Implementierungs-Roadmaps.
Passen Sie Tempo, Autonomie und Risikoprofil an, um empfohlene Phasen, Abhängigkeiten und Kontrollen zu sehen.
Risikoprofil
Liefergeschwindigkeit
Empfohlene Phasen
W1+2
Datenbereitschaft
Kein Abruf ohne Quellendisziplin
W3+3
KI-Produktdesign
Vertrauen ist ein Produktmerkmal
W6+4
Tool-Orchestrierung
Handeln mit Verantwortung
W10+3
KI-Evaluierungslabor
Jede Veröffentlichung verdient Vertrauen
W13+2
KI-Governance
Kontrollieren Sie, wo die Arbeit stattfindet
W15+2
Aktivierung und Übergabe
Kundenteams können unabhängig voneinander agieren
Fähigkeitsradar
Interaktive Prioritätskarte für KI-Implementierung.
Wählen Sie Perspektive und Zeithorizont, um relevante Tracks, Signale und Entscheidungsseiten zu sehen.
Prioritäts-Tracks
Agent cost allocation model
AI spend tied to operating value
Seite öffnenKI-Roadmap für Führungskräfte
Strategie mit Umsetzungspfad
Seite öffnenLiefer-Governance
Governance in der Lieferschleife
Seite öffnenStudio-Liefermodell
Lieferung für dauerhaften Besitz konzipiert
Seite öffnenKI-Governance
Kontrollieren Sie, wo die Arbeit stattfindet
Seite öffnenUmsetzungsplan
Wie sich diese Fähigkeit zu einem produktiven Service erweitert.
Jeder Bereich wird mit klarer Definition, messbarer Validierung und operativer Governance geliefert, die Kundenteams übernehmen können.
Betriebliche Checkliste
Was in dieser Arbeit konkret geliefert wird.
01
Architektur
A clear system map covering models, tools, data, workflows, users, and failure modes.
Seite öffnen02
Evaluationen
Task sets, regression checks, and release criteria for measurable AI behavior.
Seite öffnen03
Kontrollen
Human approval, access, logging, data-boundary, and incident-response rules.
Seite öffnen04
Übergabe
Documentation and ownership so the client can operate the system after launch.
Seite öffnenZu kontrollierende Betriebsrisiken
- Ausbau der autonomen Autorität ohne kalibrierte Genehmigungsrichtlinien.
- Veraltete oder widersprüchliche Quellen, die die Entscheidungsqualität stillschweigend beeinträchtigen.
- Unzureichende Nachvollziehbarkeit für automatisierte Aktionen und menschliche Eingriffe.
- Freigabeprozesse, die relevante Regressionsszenarien überspringen.
Häufige Fragen
Wie entscheiden wir, wo die Automatisierung beginnt?
Beginnen Sie mit sich wiederholenden, reversiblen Arbeitsabläufen, bei denen Ergebnisse und Fehlergrenzen gemessen werden können.
Wie stellen wir die Qualität vor der Markteinführung unter Beweis?
Verwenden Sie Bewertungssätze, kontradiktorische Szenarien und explizite Go/No-Go-Kriterien, die an die geschäftlichen Auswirkungen gebunden sind.
Wie behält das Team die Kontrolle?
Mit Autoritätsgrenzen, Konfidenzschwellenwerten, Eskalationspaketen und vollständigen Ausführungsverfolgungen.
Was passiert, wenn sich das Modellverhalten ändert?
Behandeln Sie Modell- und Prompt-Änderungen als Releases: Testen, überprüfen, genehmigen und mit Rollback-Pfaden einführen.
Abdeckungsübersicht
Begleitende Seiten für diesen Bereich
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Seite öffnenGovernance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Seite öffnenRetrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
Seite öffnenModel operations runbook
A production runbook for model routing, fallback, cost controls, latency, tracing, degraded mode, and release review.
Seite öffnenRelevante Seiten
Repräsentative KI-Einsätze als wiederverwendbare Muster.
Resource library
Downloadable implementation outlines for teams planning, evaluating, governing, and operating production AI systems.
Seite öffnenAI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Seite öffnenGovernance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Seite öffnen