Risk · 9 min read · Rody Nigel, PhD
AI Deployment in Regulated Industries: 5 Failure Modes
The failures we see repeatedly are not model failures. They are ownership, evidence, and scope failures that surface at audit — usually months after the decisions that caused them.
Across aerospace, banking, telecom, insurance, and government engagements, the technology itself is rarely what goes wrong. What goes wrong is the surrounding structure — or its absence. Five patterns account for most of what we find.
1. Unowned models
A pilot succeeds, the sponsor moves roles or leaves the organization, and the model continues serving decisions with no accountable owner. Nobody is wrong, and nobody is responsible. PMAIS requires a named, current owner as a gate condition, re-validated at every governance review, not assigned once at kickoff and forgotten.
2. Retrospective evidence
Documentation is assembled in the weeks before an audit, reconstructed from memory, email threads, and Slack history. The content may even be accurate. Its credibility is not. PMAIS's Stage-Gate Review Record exists specifically to eliminate this gap: evidence is captured as work proceeds, not backfilled.
3. Silent scope creep
A model approved for internal triage begins informing customer-facing decisions, one incremental change request at a time. PMAIS's Risk Classification & Regulatory Crosswalk is re-run whenever the use case materially changes — not just at initial deployment — precisely to catch this before it becomes a compliance gap.
4. Vendor opacity
Third-party model behaviour changes upstream without notice, and the enterprise has no mechanism to detect the change before its consequences reach customers. PMAIS requires, as a condition of any technology partnership, documented change-notification commitments and subprocessor transparency.
5. Monitoring without thresholds
Dashboards exist, drift is visible, and no one has defined the number at which someone is required to act. Every PMAIS Monitoring & Incident Log ships with explicit, named thresholds and an escalation path attached to each one.
Each failure mode has the same remedy shape: a named owner, a defined threshold, and evidence generated at the moment of decision rather than reconstructed later.
If you recognize one or more of these patterns in a current deployment, a discovery call is the fastest way to see exactly where the gap sits.
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