Policy & Public Affairs
AI policy has to work inside real organizations.
Eldris helps companies, associations, coalitions, counsel, and public affairs teams explain the operational consequences of AI policy with credible technical and enterprise grounding.
The gap we fill
Between what a rule says and what it does.
Most AI policy debates are argued by people who know the law extremely well and the operating environment hardly at all. A provision that reads as a modest disclosure requirement can mean rearchitecting a system that serves eleven countries. Another that sounds sweeping may change almost nothing.
Eldris supplies the missing half: an assessment of what a proposal will actually require, cost, break, or prevent inside a real enterprise, written so that a legislator, a regulator, or a committee staffer can use it.
Matter triggers
Where we are usually brought in.
- Proposed legislation
- Regulatory rulemaking
- State policy
- Federal policy
- Government procurement
- Industry standards
- Workforce policy
- AI liability
- Agentic AI
- Cross-border AI rules
- Public sector AI adoption
Work product
What a policy matter produces.
- Independent technical and enterprise analysis of a proposal
- Assessment of operational consequences
- Policy position support
- Executive and policymaker briefings
- Written testimony
- Question and answer preparation
- Hearing preparation
- Testimony where the client or association selects Eldris to participate
- Multi-jurisdiction and multi-state issue support
Eldris is an expert authority, not a lobbying firm.
We supply applied-AI expertise to organizations and to the firms that represent them. Government relations, public affairs, legal strategy, and the client relationship stay where they already are. Where a position is technically supportable, we can help explain and defend it in public. Where it is not, we say so privately.
Why Eldris
Someone who has been on both sides of the table.
Dr. Jeffrey Allan has represented organizational interests before state and federal policymakers across roughly three dozen states, and has spent more than twenty years inside multinational enterprises where policy becomes an operating requirement.
His doctoral research is on applied AI in the multinational enterprise, and he builds AI systems through Eldris and OOMU. That means a committee can ask how a system actually works and get an answer, and a general counsel can ask what a rule will cost the business and get one too.