Dave Ingle

Helping teams prove what their AI systems did — before and after things go wrong.

Focus: agent actions, provider drift, and evidence you can actually defend.

AI Workflow Failure Review

We’ll look at one AI workflow and where failures are hardest to explain or prove (agent, provider, or system).

Goal:

• Identify where things break down

• Pinpoint what you can’t currently prove

If there’s a gap, I’ll show how teams are making this defensible.

No prep needed.

We’ll go deeper on a real workflow.

Goal:

• Walk through how failures actually occur

• Map what evidence exists today

• Identify gaps across agent, provider, and system layers

• Outline what a defensible setup would look like

Best if you already have something in production or actively being built.

No prep needed.