Operational Governance That Scales
Make governance operational—not aspirational. It'll run continuously, produce evidence automatically, and strengthen your security foundation as you scale AI.
Tier 2 makes governance operational. You shift from policy and plan to continuous operation. Workflows enforce governance automatically. Evidence generates without manual intervention. Security controls strengthen as AI adoption grows.
This is the Digital Stirrup—the infrastructure innovation that lets you ride AI at full speed without losing control.
Typical Timeline: 60 to 120 days, depending on scope and environment complexity. Phased delivery with early value realization.
Governance processes that generate evidence at every decision point. Owner, QA, and Governor roles? They're enforced through technical controls, not policy documents.
Incident response linkage for AI-driven failures. Clear escalation paths, defined thresholds, and integration with existing incident management systems.
Customized training for Owner, QA, and Governor functions. Your team learns to govern AI in their actual environment, not generic theory.
Least privilege and least function controls across AI workflow surfaces. Access rights mapped to governance roles and business functions.
Authentication, authorization, and access review improvements tied directly to AI workflows. Segmentation that reduces blast radius.
Audit-ready documentation when applicable. Evidence bundles for customer reviews, compliance audits, and regulatory inquiries.
Pathway to foundational control baselines including CMMC Level 1 as our minimum recommendation. Customized to your regulatory and contractual requirements.
Health dashboards with KPIs, KRIs, and control indicators. Built into your technical stack for continuous visibility.
We've engineered the process itself to compress the cycle. You get operational governance faster and evidence generation from the start.
Every decision, approval, and verification automatically generates audit-ready evidence. Provenance chains built into workflows.
Promotion gates enforce quality standards before AI output reaches production, customers, or regulated contexts. We're talking technical controls, not an honor system.
Works inside your existing ecosystem. Maps cleanly to NIST AI RMF, NIST CSF 2.0, CMMC, ISO 27001, and other frameworks.
AI governance implementation strengthens identity, access control, and segmentation across your infrastructure. Dual benefit.
Governance health metrics enable continuous refinement. You see what's working, what's not, and where risk is emerging.
Your people run the governance workflows. We're building capability into your organization, not dependency on consultants.
Infrastructure assessment, identity and access baseline, governance workflow design, initial control deployment
AI workflow integration, evidence capture automation, escalation playbook implementation, initial training delivery
Security control maturation, least privilege enforcement, segmentation improvements, audit documentation production
Dashboard deployment, continuous monitoring setup, governance health metrics, knowledge transfer and handoff
Note: Timeline varies by scope. Large organizations with complex multi-cloud environments? You're looking at up to 120 days. Smaller teams with focused use cases? Often 60-90 days.
Request your Tier 2 engagement consultation. Move from policy to continuous governance that generates evidence by default.
Request ConsultationIf you're unsure where to start, we commonly begin Tier 2 implementations with one or more of the following:
AI policy with RACI, exception workflow, and executive dashboard
Marketing, sales, and support workflows with provenance and QA checks
SDLC gates, pull-request evidence, code-assist tool access control
GRC evidence packs, incident response linkage, third-party AI vendor risk
Sensitive data rules, retention policies, redaction automation, approved source mapping
Underwriting, clinical, legal, or financial decision governance with full audit trails
We define success criteria before starting, then measure throughout:
Our Standard: We implement the same evidence standards we require from clients. Every deliverable includes acceptance criteria and verification methods.