Most AI agents deploy without QA, without monitoring, and without
a kill switch. We audit your agent fleet across 5 dimensions:
reliability, security, cost, governance, and observability.
Every software product gets QA before production. Every employee gets
onboarding before system access. AI agents get neither.
Engineering teams spin up agents faster than leadership can track. Shadow agents proliferate. Nobody knows the full count, the full permission set, or the full cost.
Phantom tokens from stuck retries, keep-alive loops, and oversized context windows. A $50/month agent quietly becomes $5,000/month. No alert, no timeout, no budget cap.
Your AI vendor's ToS limits liability to your subscription fee. Your cyber insurer almost certainly excludes AI agent actions. When an agent introduces a vulnerability, the liability is yours.
When an agent starts corrupting production data at 2am, who stops it? If the answer requires deploying code or contacting a vendor, the blast radius expands every minute.
Prompt injection, data poisoning, jailbreaking, supply chain compromise through plugins and MCP servers. Traditional penetration testing does not cover these attack surfaces.
Agents triggering agents with no human checkpoint. Unbounded feedback loops. Permission escalation through proxy chains. One failure cascades across your entire agent fleet.
Five dimensions. Every agent scored 1 to 10 on each. Weighted
composite determines your deployment health score.
Output consistency across runs. Error rate measurement. Failure recovery behavior. Context degradation thresholds. CAT pattern detection for coding agents. SLA compliance verification.
Permission mapping against least privilege. Kill switch testing. Prompt injection and jailbreak resistance. Supply chain integrity for plugins and MCP servers. DPA verification. Privilege waiver risk assessment.
Per-agent token spend analysis. Stuck loop and retry pattern detection. Phantom token identification. Cost-per-output ratios. Vendor concentration and lock-in risk scoring.
Deployment approval workflows. Kill switch documentation and testing. Rollback procedures. Agent lifecycle management: provisioning, version control, deprecation, and shadow agent detection.
Logging coverage. Alerting thresholds. Dashboard visibility. Anomaly detection. Incident response readiness. Multi-agent dependency mapping and cascade failure detection.
We access your provider dashboards, billing data, code repos, and network logs. We find agents you don't know about.
Every agent scored 1 to 10 across 5 dimensions. Reliability testing, permission audit, token burn analysis, threat modeling.
15 to 60 page report with risk quantification, governance framework, incident playbook, and phased remediation plan.
Follow the roadmap or let us implement the fixes. Ongoing monitoring catches new risks as your agent fleet evolves.
Where does your organization fall?
No inventory, no governance, no monitoring. Agents deployed ad hoc by individual developers.
Agents are known and cataloged. No systematic governance, testing, or cost management.
Formal deployment approval, basic monitoring, documented kill switches. Governance exists but is not comprehensive.
All agents scored, monitored, and governed. Token spend optimized. Incident response tested. Continuous improvement.
Self-healing agent infrastructure. Automated governance enforcement. Real-time anomaly detection with automatic remediation.
A federal judge ruled that documents created using consumer AI tools are not protected by attorney-client privilege.
(Heppner v. United States, SDNY 2026). Consumer AI equals third-party disclosure equals privilege waived.
AQA classifies every agent's underlying AI provider as Consumer or Enterprise based on DPA verification
and training-on-inputs policy. Agents processing privileged, confidential, or regulated data through
consumer-grade providers receive a Critical Legal Risk finding with dollar-value exposure estimates.
The AQA audit includes DPA verification, source code exposure analysis, and (for law
firm clients) an enhanced privilege assessment with per-matter exposure mapping.
Scoped to your deployment size and risk profile. Pricing adjusts by agent count and industry.
Tier 1 covers up to 25 agents. Tier 2 scales by agent count and deployment complexity. 50+ agents scoped custom.
Industry multipliers apply: Premium for financial services, healthcare, legal. Value pricing for retail and agencies.
If you deploy AI agents, you need agent QA. These roles feel it most.
Your team deployed 15 agents last quarter. You approved 6. You don't know what the other 9 can access, what they cost, or what happens when they fail. The board is asking questions you can't answer.
Your agents work in staging. Production is different: context degradation, stuck approvals, token burn, inconsistent outputs. You need systematic QA, not ad hoc debugging.
AI agents represent a new attack surface: prompt injection, data exfiltration, privilege escalation through tool chains. Your threat model was written before these agents existed.
The CEO wants agents everywhere by Q3. You can't articulate the risks to non-technical leadership. You need external validation for a governance-first approach before scaling.
We don't just audit agents. We build and operate them.
We run our own multi-agent operating system (KaizenOS) across content, operations, research, and client delivery. We know how agents fail because we fix our own every week.
Our founder has 19 years of legal practice and has built AI systems across 7 industries. We audit from both sides: the code and the liability. Most consultants only see half of the equation.
Not a compliance checklist repurposed for agents. Not a GRC tool that added an "AI" tab. A dedicated methodology built specifically for evaluating deployed AI agent fleets.
Most organizations use agents across OpenAI, Anthropic, Google, and local models. No vendor dashboard gives you a unified view. AQA audits all of them in a single engagement.
Our SME knowledge library covers 90 industry niches. Your audit is calibrated with industry-specific regulations, benchmarks, risk multipliers, and vendor recommendations.
Every finding includes dollar-value risk estimates, remediation cost, and ROI framing. The governance framework and incident playbook are delivered with the report, not sold separately.
30 minutes. We walk through your deployment, flag the highest-risk agents,
and give you 3 actionable recommendations. Free. No pitch.