Productized AI governance, risk, and strategy. Configured AI advisors built by a practitioner, with deep specialization in financial services.
Andrea’s judgment plus EMG’s framework, embedded in your configured AI advisor and available to anyone on your team. A team member brings any AI question and gets a clear read in plain English, what to pursue, what to skip, the reasoning on the record.
From internal productivity tools to customer-facing automation to high-stakes decisioning. Each recommendation returns recommended controls, governance obligations, ROI prediction, and a strategic alignment note, exact-sized to the risk it actually carries. Your configured AI advisor recommends; your enterprise decides.
These aren’t static dashboards anyone maintains, they are interactive workspaces. As each use case moves through the advisor, the inventory, heatmap, audit trail, and regulatory pulse populate themselves and become live surfaces you act from, open the use case, request a refresh, escalate a risk, draft the next memo. One centralized record that you can slice by tier, domain, jurisdiction, or quarter. The portfolio view builds up organically as the work moves through.
High likelihood × high impact. EU AI Act Annex III high-risk classification; NYC LL 144 bias-audit obligations; EEOC disparate-impact exposure.
Medium likelihood × medium impact. Customer-facing generative output; UDAAP / FTC §5 exposure; PII flow through prompts mitigated by controls.
Low likelihood × low impact. Internal research-team scope; human judgment retained for every finding; no customer or model-vendor data flows.
Low likelihood × medium-high impact. Scope-locked to documented positions; human review every customer-facing answer; pre-send PII scrub.
Lowest likelihood × medium impact. Internal-only, no customer-facing surface; quarterly red-team on confidential-data exposure.
AI consulting boutiques exist. AI risk advisory exists. Productized consulting in narrow niches exists. None of them assemble the pieces the way EMG does.
Andrea Elliott founded EMG Advisory to address a gap she witnessed firsthand, the disconnect between where AI actually is inside organizations today and where the world assumes it should be.
With fifteen-plus years across risk, compliance, governance, ethics, and legal, she most recently served as Chief Compliance Officer at a publicly traded payments technology company, where she built and implemented the company’s AI governance framework, embedding responsible and regulatory-compliant AI practices across the enterprise.
She founded EMG to fill what she calls “the missing middle”: the operational infrastructure that ensures enterprise AI use aligns with strategy, values, and regulatory obligations.
“Social media reshaped what we paid attention to. AI is reshaping how we think. That shift demands governance with far more seriousness, discipline, and accountability than we’ve ever brought to a technology before.”
The methodology is the IP and proof; it is the substance that breathes life into your configured AI advisor, present at every leader’s desk, refreshed quarterly as the landscape moves.
A single integrated engagement: configured AI delivery and senior practitioner judgment as one continuous relationship. Foundation. Day-to-day decision support. Leadership alignment.
Every engagement starts with a conversation. No commitment, no cost. Share where you are, and Andrea will share where the highest-leverage starting point is.
For a more thorough intake, complete the pre-meeting questionnaire.