1. Define the problem
You show us the workflow, chatbot, assistant or automation and explain what is not working as expected.
A focused, human-led review of one existing AI workflow, chatbot, assistant, prompt system or automation. We diagnose the current setup, identify the most important weaknesses, apply practical improvements where possible and give you written next steps.
An AI workflow audit is a structured review of an existing AI-enabled process to identify where instructions, context, routing, integrations or human checkpoints are causing weak results. Instead of rebuilding everything from scratch, we inspect the current setup, reproduce the problem, prioritize the highest-impact issues and recommend or apply practical improvements.
The session is designed for an existing setup that needs a second pair of eyes, clearer logic or practical troubleshooting.
You show us the workflow, chatbot, assistant or automation and explain what is not working as expected.
We review the relevant prompts, system instructions, flow logic, context, data handling, integrations and human checkpoints available to us.
Where possible, we test the current setup using realistic scenarios to identify failure patterns instead of guessing.
We separate urgent issues from optional improvements and focus the session on changes most likely to improve reliability or clarity.
We improve configuration, instructions or workflow logic where the platform and session scope allow, then retest the changed behavior.
You receive a concise summary of the issues found, changes made and recommended next actions if further implementation is needed.
The exact outputs depend on the problem and the access available, but the audit is built around practical implementation rather than generic advice.
A concise explanation of the main problems, weak steps, likely failure causes and any important constraints discovered during review.
Revised prompts, instructions, routing logic, context structure or other configuration changes where they can be completed safely within the session.
Examples of scenarios used to validate the setup, including edge cases or failure conditions that should be retested later.
A ranked list of the most important improvements so you know what matters now and what can wait.
Concrete suggestions for reducing unnecessary steps, improving instructions, making handoffs clearer or strengthening workflow reliability.
A compact handover covering what was reviewed, what changed and what to implement next if the issue requires more work.
If you are starting from zero, an installation or multi-session implementation package may be a better fit.
Review system instructions, context, fallback behavior, knowledge use and common failure patterns.
Inspect triggers, conditions, payloads, AI steps, handoffs and error paths to isolate likely causes.
Review role definition, context, constraints, examples, output structure and testing scenarios.
Identify redundant steps, unclear ownership, duplicated AI calls or missing human approval points.
Review tools, action boundaries, instructions, context, approval rules and failure handling.
Use the hour to validate the current architecture before spending more time or money rebuilding it.
The €39.99 service covers up to 60 minutes of human-led review and optimization for one existing AI setup. Complex rebuilds, large integrations, third-party subscriptions, API fees and extended implementation are outside this single-session scope unless separately agreed.
Bring the existing setup and the problem you want reviewed. We will work from the real configuration rather than a generic template.
Choose the €39.99 audit