Guide

How to audit the AI automations you already run

Most teams have more AI automations running than anyone has written down. These steps get them reviewed before the next one ships.

1 min readWritten from consultant.quinnfavo.com✓ Approved by the founder · 10 Nov 2026
On this page
  1. Step by step
  2. Questions

Step by step

  1. List every automation that calls a model today, with its prompts and the tools it can reach.Screen: Consulting packages page, AI Automation Audit card
  2. Note which data each flow touches and where that data ends up, so the data boundaries are clear before anyone starts.Screen: Your own inventory sheet
  3. Book the free 30-minute consultation to confirm fit and agree on scope.Screen: Home page, Book a free 30-minute consultation button
  4. Start with the audit, which is listed as the diagnostic entry point among the packages.Screen: What I deliver section, AI Automation Audit
  5. Go through the findings flow by flow, starting with the ones that touch sensitive data or external tools.Screen: Audit findings document
  6. Pick the next step from the findings, for example AI Ops Starter for one production use case.Screen: What I deliver section
  7. Keep the documentation so your team can repeat the review when new automations are added.Screen: Process section, step 03

Questions

Do you also build mobile apps?

Yes. Quinn designs, builds and ships native Kotlin apps for Android and Wear OS on Google Play.

Source: consultant.quinnfavo.com
Can a local model run on ordinary hardware?

Smaller ones can. There is an article on deploying Llama 3 8B on consumer hardware, where memory, context and concurrency are the main limits.

Source: consultant.quinnfavo.com
Can you help with a migration between model setups?

Yes. Migration decisions and mixed environments fall under the Custom AI Architecture package.

Source: consultant.quinnfavo.com
Does a private deployment include monitoring?

Yes. The LLM Private Cloud package includes observability alongside inference and RAG.

Source: consultant.quinnfavo.com
Are the agents tied to one model vendor?

No. The agents are model-agnostic, so the model behind them can change without rebuilding the tool access.

Source: consultant.quinnfavo.com
Can we see which tools an agent used?

Yes. Agent Mesh is built around auditable tool access across cloud, infrastructure and internal systems.

Source: consultant.quinnfavo.com

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