Our Method

Every OIA engagement follows a three-step progression — from diagnostic to governance-hardened. Each step builds on the last, so you move from exposed to audit-ready with zero guesswork.

Process

Three Steps to Audit-Ready

Readiness Scan

A 30-minute diagnostic to baseline one AI workflow.

Pick one live AI workflow to assess
Define success criteria and failure modes
Review current governance posture and compliance gaps
Map the next step: Sprint or Hardening engagement

AI Readiness Sprint

Two-week engagement to map your complete governance landscape.

Runtime Governance Audit across all AI systems
Compliance Gap Map against SOC 2 AI, ISO 42001, EU AI Act
Risk-Prioritized Remediation Roadmap
Stakeholder-Ready Summary Deck for leadership

AI Hardening Engagement

6\u201310 week engagement to build and enforce runtime governance systems.

Custom Governance Policies tailored to your AI stack
Runtime Monitoring Playbooks for ongoing enforcement
Incident Response Protocols for governance failures
Drift Detection + Escalation Triggers
Audit-Ready Documentation Suite

Sample Work

Governance Artifacts

Failure-Mode Taxonomy

Failure mode	Detection signal	Control	Severity	Owner
Policy citation mismatch	Guardrail trigger spike in compliance category	Policy source pinning + citation validator	P1	Governance lead
Tool parameter misuse	Invalid tool-call ratio above threshold	Tool schema validation + execution allow-list	P2	Agent engineering
Escalation loop	Repeat escalation on same intent cluster	Escalation cooldown + handoff rubric updates	P2	Operations
Prompt injection attempt	Adversarial pattern match in user input	Input sanitization + isolation policy	P1	Security
Drifted response quality	Eval pass-rate decline over 7-day window	Drift alerts + regression test gate	P3	ML quality

Monitoring KPI Thresholds

KPI	Warning threshold	Critical threshold	Trigger action
Drift rate	>2.5% (7-day shift)	>5.0% (7-day shift)	Freeze prompt release and trigger RCA
p95 latency	>2.2s	>3.0s	Fail over workflow and throttle non-critical traffic
Guardrail trigger rate	>4.0% of sessions	>7.0% of sessions	Escalate to governance lead and quarantine affected intents
Escalation rate	>18% of sessions	>25% of sessions	Open incident and retrain routing policy

Deliverables

Artifact Outputs You Receive

Runtime Governance Audit excerpt pack (system map, failure taxonomy, control ownership)
Compliance Gap Map workbook aligned to SOC 2 AI, ISO 42001, and EU AI Act controls
Risk-Prioritized Remediation Roadmap sequenced for 30/60/90-day execution
Stakeholder-Ready Summary Deck with decision log, residual risk, and sign-off path
Runtime Monitoring Playbook with KPI thresholds, escalation matrix, and response SLAs

Operations

Runtime Incident Workflow

Detection: Drift, guardrail, or anomaly signal crosses defined threshold.

Triage: Incident classified (P1–P4) against governance severity matrix.

Containment: Affected agent or workflow halted or restricted.

Escalation: Notification path triggered (T+15, T+60, or T+24 SLA).

Root Cause Analysis: Control map and evaluation logs reconciled.

Remediation: Policy, guardrail, or monitoring control updated.

Verification: Post-fix validation run plus KPI return to baseline.

Principles

Our Values

Measurable

Every engagement produces governance metrics you can track — compliance coverage, risk reduction, and audit readiness scores.

Repeatable

We build governance systems and enforcement infrastructure that you own and can operate continuously.

Governance-Ready

Runtime enforcement, drift detection, and audit-ready documentation — governance that holds under pressure.

Start with a Readiness Scan

The Readiness Scan is a 30-minute diagnostic where we pick one AI workflow, review your governance posture, identify compliance gaps, and map the next step.

Schedule Your Readiness Scan