Engage the Standard — Advisory Engagements¶
This is not generic AI consulting. It is governance architecture for consequential AI operations.
AAM Cyber is retained when organizations need the horizontal governance primitive — runtime AI agent governance that classifies risk, bounds authority, enforces policy at dispatch, and produces audit evidence — brought to bear on a specific autonomous-AI risk surface.
The four engagements below are tactical entry points to the same primitive, not four standalone products. The primitive is the architecture. Each engagement is a different way to install it.
The primitive carries the NIST OLIR Trifecta — three Concept Crosswalks cataloged: AI RMF 1.0 (Ref ID 220), CSF 2.0 (Ref ID 215), and SP 800-53 Rev 5.2.0 (Ref ID 217), all Final Informative References (public review concluded 2026-06-22 with zero comments).
Four ways AAM Cyber helps leadership govern AI agents before risk, buyers, or regulators force the issue.
AI Governance Architecture Design
Design governance layers for agent systems that need bounded authority, risk-tier classification, and enforceable controls at dispatch.
Typical outcomes: governance architecture for workflows, approval and denial paths, escalation design, and audit requirements that do not rely on model self-reporting.
Typical engagement: 6 to 12 weeks
AI Compliance Readiness
Align AI operating models to the governance questions buyers, regulators, and internal stakeholders are already asking.
Focus areas: EU AI Act readiness, NIST AI RMF alignment, ISO 42001 governance support, and remediation sequencing.
Typical engagement: 4 to 8 weeks
AI Agent Governance Audit
Assess live or near-live deployments to identify where autonomy is outrunning governance and what needs to be fixed first.
Audit areas: missing risk-tier classification, weak policy enforcement, incomplete audit trails, unclear escalation boundaries, and privilege expansion risk.
Typical engagement: 2 to 4 weeks
Federal and Prime-Sub Support
Provide AI governance depth for proposals, architecture reviews, and delivery support in public-sector and prime-contractor environments.
Support includes: technical governance framing, regulated-environment control mapping, architecture review, and governed autonomous execution SME support.
Positioned for federal and regulated environments
Straightforward engagements built for decision-making, not theater.
Review the current agent operating model and identify where autonomous action already exists.
Identify the governance gaps that matter most to leadership, risk, compliance, and delivery.
Build the control architecture around authority, policy, escalation, and evidence.
Turn the result into a governance model leadership, security, and compliance teams can use.
Scoped to the governance problem, not billed by the hour.
Engagements typically range from $15,000 for focused governance audits to $150,000+ for full governance architecture design. Federal subcontracting and SME support is available at senior advisory rates. Every engagement begins with a readiness assessment that scopes the work before commitments are made.
- —NIST OLIR Trifecta — Ref ID 220 (AI RMF 1.0), Ref ID 215 (CSF 2.0), Ref ID 217 (SP 800-53 Rev 5.2.0) — all cataloged Final Informative References
- —NIST AI RMF for AI risk and organizational accountability
- —EU AI Act for regulatory readiness and evidence mapping
- —ISO 42001 for AI management system alignment
- —NIST CSF 2.0 and ISO 27001 where AI governance must integrate with security programs
Organizations of any sector with autonomous AI agents in or approaching production that need governance enforced, not advisory. If your agents are taking actions that affect data, money, infrastructure, or human safety, the primitive applies. The deployment domain shapes the implementation, not the architecture.