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Solution brief · Regulated industries

Regulated-industry portfolios in the AI era.

Auditable AI, data residency, and the governance posture supervisors are starting to ask for. Written for financial services, healthcare, and energy.

PulsePMO IQ · Solution brief for regulated-industry PMOs

Why this is a live question now

Supervisors and internal risk functions in financial services, healthcare, and energy are increasingly asking a question that most PMO tooling was never built to answer: when an AI system influences a portfolio decision — which project gets flagged as at-risk, which recovery option gets surfaced first — can that recommendation be traced back to the data and model version that produced it? A tool that can't answer that isn't disqualifying by itself, but it does move the compliance conversation from the PMO to the vendor-risk committee, and that conversation takes months, not weeks.

What “auditable AI” needs to mean in practice

Every recommendation traceable to its input data and model version
No customer data used to train shared or public models
Per-tenant inference, not cross-tenant prompt pooling
Workspace- or project-level opt-out, not all-or-nothing
Recommendations are decision support, not automated action
A human approval step before any AI-surfaced recommendation executes

PulsePMO IQ's Pulse AI is built to this standard: AI requests are tenant-scoped, provider/model usage is recorded, and human approval remains authoritative. Provider retention/training terms and the depth of input lineage must be reviewed for the selected launch configuration rather than assumed from marketing copy.

Data residency and tenant isolation

Regulated customers typically need to answer two questions before an evaluation can proceed: where does the data live, and is it isolated from other tenants. PulsePMO IQ the launch configuration documents its actual hosting region and enforces tenant scope in the shared application. Regional or physically isolated deployments are not promised until separately contracted, deployed, and verified. Details of the current architecture, subprocessor list, and audit trail model are maintained on our Trust & security page.

Compliance posture, stated plainly

PulsePMOIQ is not currently SOC 2 or ISO certified. Independent-review evidence is published only after the review and any required remediation are complete. HIPAA BAAs, regional residency, privacy-compliance conclusions, and completed DPA/SCC/CAIQ materials are not promised. See the Trust page for the current evidence before relying on any statement in a vendor-risk submission.

A short checklist for evaluating any AI-assisted PMO tool

  1. Can the vendor show you, for a specific recommendation, exactly what data and model version produced it?
  2. Is your data ever used to train a model shared across other customers — and can you get that in writing?
  3. Can an individual workspace or project opt out of AI features without losing the rest of the platform?
  4. Does the AI recommend, or does it act? Where is the human approval step?
  5. What is the current, not aspirational, state of SOC 2 / ISO / HIPAA / GDPR posture — and is it published somewhere you can point your auditors to?

Where to start

Most regulated-industry evaluations start with the security and compliance pack rather than a product demo. The Trust page lists which architecture, incident, recovery, and AI-governance materials are implemented and which legal templates or questionnaires remain drafts, so InfoSec can review the real evidence without assuming the package is complete.

Get the current compliance posture and doc pack.

Architecture, subprocessors, and the procurement pack InfoSec will ask for.

Visit Trust & security

Compliance status reflects the current state as published on our Trust & security page and is subject to change; this brief is not specific to any named customer or engagement.