WorksheetAssess
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Baciu.com servicegebied
AI data processing addendum
A review outline for documenting AI data handling, retention, subprocessors, residency, and customer control requirements.
Onze aanpak
We starten met proces, gebruikers en faalmodi voordat we de kleinste meetbare architectuur kiezen.
Bekijk paginaWat goed eruitziet
Een goed AI-systeem bewaart bronnen, evaluaties, telemetrie en escalatieregels.
Bekijk paginaReadiness 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.
Onderwerpsuitbreiding
Pagina’s die dit leveringsgebied verdiepen
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Bekijk paginaGovernance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Bekijk paginaRetrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
Bekijk paginaModel operations runbook
A production runbook for model routing, fallback, cost controls, latency, tracing, degraded mode, and release review.
Bekijk paginaExecutive AI roadmap brief
A board-ready outline for connecting AI initiatives to outcomes, risk gates, build sequence, and decision cadence.
Bekijk paginaAI incident tabletop
A tabletop exercise for AI services that can produce wrong answers, unsafe actions, policy violations, or outage cascades.
Bekijk paginaAgent operating model
A practical operating model for assigning ownership across AI product, platform, risk, operations, and business teams.
Bekijk paginaWorkflow intake template
A structured intake template for deciding whether a process should become an assistant workflow, agent workflow, or deterministic automation.
Bekijk paginaDelivery artifact
Download outlineAI data processing addendum
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.
Leveringsatlas
Geavanceerde navigator voor capaciteiten, programma’s en systemen.
Filter, vergelijk en open detailpagina’s voor AI-architectuur, uitvoering en governance.
Implementatiebibliotheek
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 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.
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.
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
Een gecontroleerde omgeving voor het ontwerpen, testen en beheren van herbruikbare middelen voordat ze in productie gaan.
Agent studio solutions
Design and enablement solutions for defining agent behavior, permissions, tests, release controls, and handoff workflows.
Uitvoeringslab
Interactieve planner voor AI-implementatie-roadmaps.
Stel tempo, autonomie en risicoprofiel in om aanbevolen fasen, afhankelijkheden en controles te bekijken.
Risicoprofiel
Leveringstempo
Aanbevolen fasen
W1+2
Gegevensgereedheid
Geen terugvinding zonder brondiscipline
W3+3
AI-productontwerp
Vertrouwen is een productkenmerk
W6+4
Orkestratie van instrumenten
Actie met verantwoordelijkheid
W10+3
AI-evaluatielaboratorium
Elke release verdient vertrouwen
W13+2
AI-beheer
Controle waar het werk gebeurt
W15+2
Inschakeling en overdracht
Klantteams kunnen zelfstandig opereren
Capaciteitenradar
Interactieve prioriteitenkaart voor AI-implementatie.
Kies perspectief en horizon om relevante trajecten, signalen en beslissingspagina's te bekijken.
Prioritaire trajecten
Agent cost allocation model
AI spend tied to operating value
Pagina openenExecutive AI-routekaart
Strategie met een implementatietraject
Pagina openenLeveringsbeheer
Governance in de leveringslus
Pagina openenStudio leveringsmodel
Levering ontworpen voor duurzaam eigendom
Pagina openenAI-beheer
Controle waar het werk gebeurt
Pagina openenUitvoeringsplan
Hoe deze capability uitgroeit tot productieservice.
Elk gebied wordt geleverd met expliciete definitie, meetbare validatie en operationele governance die klantteams kunnen overnemen.
Operationele checklist
Wat er in dit werk wordt opgeleverd.
01
Architectuur
A clear system map covering models, tools, data, workflows, users, and failure modes.
Bekijk pagina02
Evaluaties
Task sets, regression checks, and release criteria for measurable AI behavior.
Bekijk pagina03
Controles
Human approval, access, logging, data-boundary, and incident-response rules.
Bekijk pagina04
Overdracht
Documentation and ownership so the client can operate the system after launch.
Bekijk paginaOperationele risico’s om te beheersen
- Het uitbreiden van de autonome autoriteit zonder een gekalibreerd goedkeuringsbeleid.
- Verouderde of tegenstrijdige bronnen die de kwaliteit van de besluitvorming stilletjes aantasten.
- Onvoldoende traceerbaarheid voor geautomatiseerde handelingen en menselijke tussenkomsten.
- Geef processen vrij die relevante regressiescenario's overslaan.
Veelgestelde vragen
Hoe kiezen we waar automatisering begint?
Begin met repetitieve, omkeerbare workflows waarin resultaten en faalgrenzen kunnen worden gemeten.
Hoe bewijzen we kwaliteit vóór de lancering?
Gebruik evaluatiesets, vijandige scenario's en expliciete go/no-go-criteria die verband houden met de zakelijke impact.
Hoe houdt het team de regie?
Met autoriteitsgrenzen, vertrouwensdrempels, escalatiepakketten en volledige uitvoeringssporen.
Wat gebeurt er als het gedrag van modellen verandert?
Behandel model- en promptwijzigingen als releases: test, beoordeel, keur goed en implementeer met rollback-paden.
Dekkingskaart
Aanvullende pagina’s voor dit gebied
AI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Bekijk paginaGovernance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Bekijk paginaRetrieval evaluation set
A starter evaluation set for testing source grounding, citation behavior, permission boundaries, and answer quality.
Bekijk paginaModel operations runbook
A production runbook for model routing, fallback, cost controls, latency, tracing, degraded mode, and release review.
Bekijk paginaRelevante pagina's
Representatieve AI-implementaties als herbruikbare patronen.
Resource library
Downloadable implementation outlines for teams planning, evaluating, governing, and operating production AI systems.
Bekijk paginaAI readiness scorecard
A scoring worksheet for deciding whether a workflow is ready for autonomous or semi-autonomous execution.
Bekijk paginaGovernance control matrix
A control matrix that maps AI capability scope to data access, tool authority, approvals, logging, and incident response.
Bekijk pagina