Operating Model & Governance

How teams evolve from AI-fluent to AI-native, and the control framework that keeps it safe.

Operating Model Roadmap

Phase 1: AI-Fluent

Months 0–6

Workstreams

  • • Team enablement playbooks (product, engineering, ops, compliance)
  • • Standard prompt and output templates
  • • AI usage boundaries and approval matrix
  • • Baseline telemetry + KPI instrumentation

Deliverables

  • Role-specific AI SOPs
  • Approved model/tool registry
  • Review checklist for AI-assisted outputs
  • Monthly control-health report

Phase 2: AI-Assisted Core Operations

Months 6–12

Workstreams

  • • Internal copilots for case triage, document readiness, policy lookup
  • • Deterministic policy-check integration in critical steps
  • • Approval-routing engine by risk tier

Deliverables

  • Pilot in one high-volume workflow
  • Full audit packet template
  • Exception taxonomy and remediation loops

Phase 3: AI-Native Client Workflows

Months 12–18

Workstreams

  • • Guided client journey for onboarding/issuance/trading readiness
  • • Proactive blocking issue detection and action suggestions
  • • Explainable status and compliance requirement visibility

Deliverables

  • Client-facing workflow copilot
  • SLA dashboards (cycle time, exceptions, completion)
  • Governance board with product + compliance co-ownership

Policy & Control Framework: Control Objectives

01

Maintain regulatory compliance and legal enforceability.

02

Ensure all AI-assisted actions are attributable and auditable.

03

Prevent unauthorized or out-of-policy execution.

Risk Tiers

Tier 0 (Informational)

Summaries, drafts, non-binding suggestions.

Tier 1 (Operational assist)

Triage/routing recommendations; human confirmation required.

Tier 2 (Control-relevant)

Policy-sensitive recommendations; mandatory approval + evidence.

Tier 3 (Critical action)

No autonomous execution; dual-control/explicit signoff.

Mandatory Controls

1
Policy-grounded retrieval with citation logging
2
Deterministic rule checks on critical transitions
3
Role-based approval gates with segregation of duties
4
Model/version traceability and rollback capability
5
Immutable event logging and retention policy
6
Periodic red-team and failure-mode testing

Governance Cadence

Weekly

Incident and exception review

Monthly

KPI + control-health governance

Quarterly

Model/rule recalibration and policy corpus audit

Stop-Ship Conditions

Deployment blockers requiring immediate resolution

Unexplained policy-check bypass

Missing or corrupted action provenance logs

Repeated high-severity recommendation errors in critical workflows