The Dynamics AI Agent Lie: It's Not Acceleration, It's Architectural Erosion
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A proposito di questo titolo
- Acceleration vs. Erosion: Why speed isn’t neutral—and how increased throughput stresses the places where policy meets behavior.
- Agents as Control-Plane Participants: Copilot isn’t an in-app helper; it’s a distributed decision engine spanning Dynamics, Graph, Power Automate, Outlook, and Teams.
- Mediation Replaces Validation: How summaries, confidence bands, and narratives reframe what humans actually review.
- Composite Identity & RBAC by Composition: Why least privilege passes reviews while effective authority expands across orchestrated pathways.
- Non-Determinism on Deterministic Rails: How probabilistic planning breaks regression testing and replay.
- Blast Radius Growth: Helpful actions propagate across surfaces, widening incident scope.
- Audit Without Causality: You can see what happened, not why—because the decision trace lives outside your logs.
- Invoice Approval — Validation becomes mediation; approval quality tracks narrative quality, not signal quality.
- Credit Hold Release — Deliberate exceptions become suggestible defaults; seasonality and partial histories collapse into a click.
- Procurement Vendor Selection — “Neutral” recommendations privilege data density and integration, calcifying supplier mix.
- Customer Service Resolution — Ambiguous authority by design; benevolence defaults leak value under queue pressure.
- MCP & Orchestration: View models expose affordances; planners compose legitimate actions into emergent pathways.
- Human-like Tooling (Server-Side): Robust navigation without a client increases confidence—and hides discarded branches.
- Deterministic Cores, Probabilistic Paths: The function is stable; the path to it isn’t.
- Why DLP, Conditional Access, Least Privilege, ALM, and SoD struggle against composition and synthesis.
- What survives: intent enforced as design—decision traces, step-up on sensitive tool invocation, ALM parity for prompts/tool maps/models, and SoD across observe-recommend-execute.
- If intent isn’t enforceable in code, it won’t hold in production.
- If you can’t reproduce a decision, you can’t defend it.
- If your logs don’t capture causality, you don’t have accountability.
- Exceptions are entropy; budget them.
- Paper controls can’t govern compiled behavior.
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