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Aurozen AI

AI Auditing

An AI audit is a structured assessment, not just a conversation. Scope is defined per engagement, and you can choose the audit type that fits your situation.

Problems we solve

  • Unsure whether the business is ready for AI
  • An existing AI system is unreliable or unmonitored
  • Unknown data-handling and access-control exposure
  • No ranked list of automation candidates

How we approach it

The work, in the order it happens.

  1. Level 1 — AI Readiness Audit

    Evaluates whether the business is prepared to adopt AI: processes, data, systems, people.

  2. Level 2 — AI Systems Audit

    Examines existing AI systems, integrations, reliability, failure scenarios, performance and latency, evaluation, monitoring, and operational risks.

  3. Level 3 — AI Automation Opportunity Audit

    Identifies processes that could benefit from automation and prioritizes potential projects.

Reviewing a customer-support bot's failure cases and data accessRanking back-office workflows by automation value

What you receive

Deliverables

  • ✓Findings report
  • ✓Identified risks and limitations
  • ✓Prioritized opportunities
  • ✓Technical recommendations
  • ✓Proposed architecture
  • ✓Suggested implementation roadmap

With your existing software

The audit documents integration limitations and data-handling paths across your current systems. Integrations are designed against your existing tools where technically feasible and where API access and permissions are available. They are scoped per project, not assumed to exist as prebuilt connectors.

Testing and deployment

Where an existing system is audited, reliability and failure scenarios are examined against agreed criteria.

Ongoing support

Findings can feed a follow-on implementation or be handed to your own team.

Delivery process

The same eight phases on every project; the detail changes by service.

  1. 01

    Discover

    Understand the business, processes, current technology, and desired outcomes.

  2. 02

    Assess

    Evaluate feasibility, risks, constraints, data availability, integrations, and approaches.

  3. 03

    Design

    Define the architecture, workflow, components, permissions, and implementation plan.

  4. 04

    Build

    Implement the agreed solution using suitable technologies.

  5. 05

    Integrate

    Connect the solution to existing systems where technically feasible.

  6. 06

    Validate

    Test functionality, integration behavior, failure scenarios, and agreed performance criteria.

  7. 07

    Deploy

    Deploy to the agreed environment: client-managed, cloud, or another supported arrangement.

  8. 08

    Support

    Provide the agreed maintenance, troubleshooting, monitoring, and improvements.

Questions

No. It is an engineering assessment, not a certification or legal opinion.

Access to relevant people and documentation, and system access as agreed in scope.

Scope is determined after discovery. Request a tailored proposal. More FAQs

Have a business problem worth solving?

Explain your requirements and we will discuss a suitable approach.