Blog
Notes de mise en œuvre de l'IA
Learn baciu.com rassemble du contenu pratique sur les agents, le raisonnement, la récupération de connaissances, l'automatisation et l'exploitation sûre des systèmes IA.
Adoption-led AI economics
AI economics depends on adoption curves, reviewer load, and workflow coverage, not just automation potential in a spreadsheet.
06/06/2026 · 8 lecture min.
Unit economics for agentic workflows
Agentic workflows need unit economics that include model spend, tool calls, review effort, exception handling, and avoided operating cost.
06/06/2026 · 9 lecture min.
AI runtime incident triage patterns
Runtime incidents need triage paths that distinguish provider outage, quality regression, policy breach, tool failure, and cost runaway.
05/06/2026 · 9 lecture min.
Provider fallback drills for model operations
Fallback policies only work when teams rehearse provider degradation, quality regressions, cost spikes, and shutdown decisions.
05/06/2026 · 8 lecture min.
Exception taxonomies for AI workflows
Automation needs a shared language for exceptions, owners, fallback paths, and containment before agents move work across systems.
04/06/2026 · 8 lecture min.
Automation containment metrics that matter
Containment metrics show where automation resolves work safely, where it escalates, and where it silently creates rework.
04/06/2026 · 8 lecture min.
Source ownership operating models for retrieval
Retrieval quality improves when knowledge sources have owners, freshness targets, escalation paths, and retirement rules.
03/06/2026 · 8 lecture min.
Retrieval drift detection and remediation
Retrieval drift needs production signals that show when source freshness, ranking, permissions, or answer support have changed.
03/06/2026 · 9 lecture min.
Verifier chains for high-stakes AI decisions
High-stakes reasoning workflows need independent checks for evidence, policy fit, and decision consistency before output is trusted.
02/06/2026 · 9 lecture min.
Decision quality rubrics for agentic workflows
Decision rubrics make AI reasoning reviewable by separating factual support, judgment quality, policy compliance, and action readiness.
02/06/2026 · 8 lecture min.
Public-sector service desk controls for AI rollout
Service-desk AI in public organizations needs transparency, accessibility, escalation, and auditability from the first pilot.
01/06/2026 · 9 lecture min.
Insurance claims AI review patterns
Claims AI should package evidence, policy context, risk indicators, and reviewer decisions without hiding accountability.
01/06/2026 · 8 lecture min.
Logistics exception automation architecture
Supply-chain AI works when exceptions are classified, routed, and measured before delays become customer-facing failures.
01/06/2026 · 8 lecture min.
Benchmarks that matter after AI go-live
Track resolution share, reviewer load, exception recovery, unit cost, latency, and quality deltas once the system is live.
31/05/2026 · 8 lecture min.
The economics of production AI programs
Estimate value with baseline volume, cycle time, exception rate, adoption curve, and operating cost instead of generic AI claims.
30/05/2026 · 10 lecture min.
Handoff patterns from build teams to client operators
Operational ownership transfer should be planned as a product milestone.
29/05/2026 · 8 lecture min.
Operating cadences for AI adoption teams
Weekly rituals convert experimentation into accountable delivery.
28/05/2026 · 6 lecture min.
Release gates for prompt and model changes
Treat prompt and model updates like code changes with explicit approvals.
27/05/2026 · 7 lecture min.
Observability signals that matter for AI systems
Focus on decision quality and escalation behavior, not token counts alone.
26/05/2026 · 9 lecture min.
Model routing policies for cost and latency control
Route tasks by complexity and risk to balance quality, latency, and budget.
25/05/2026 · 8 lecture min.
SLA escalation graphs for agentic automation
Model SLA risk explicitly and trigger intervention before breaches happen.
24/05/2026 · 8 lecture min.
Ticket triage architectures for AI support teams
Classify, route, and escalate tickets with predictable queue behavior.
23/05/2026 · 9 lecture min.
Permission-aware citation UX patterns
Show evidence safely without leaking restricted content across teams.
22/05/2026 · 7 lecture min.
Retrieval freshness SLOs and alerting
Knowledge systems need freshness targets, not just index size metrics.
21/05/2026 · 8 lecture min.
Evidence packets for human approval
Approval flows work when reviewers get concise context, not raw transcripts.
19/05/2026 · 6 lecture min.
Counterfactual test suites for reasoning workflows
Test scenario variants before launch to detect brittle reasoning logic.
17/05/2026 · 10 lecture min.
Designing tool contracts for reliable agent actions
Typed tool interfaces reduce hallucinated actions and make retries safe.
15/05/2026 · 7 lecture min.
Why agentic systems need escalation design
Autonomy without escalation policy turns small errors into operational incidents.
13/05/2026 · 8 lecture min.
How to scope an AI pilot that survives production
Scope the operating model early: data access, evaluation, escalation, ownership, and release controls.
11/05/2026 · 9 lecture min.