Audit

AI Workflow Audit

Find the #1 workflow to automate — with ROI projections before you spend a dollar

Overview

The average failed AI implementation costs $2.5M. The Workflow Audit exists to make sure you never join that statistic. We map your operations, identify every manual bottleneck and error-prone handoff, and score each automation opportunity by ROI, technical complexity, and data readiness. You walk away with a prioritized roadmap — not a generic strategy document, but a specific, actionable plan with model recommendations and cost projections.

Best For

Businesses that know AI can help but need clarity on where to start. Especially effective when you have multiple potential use cases and need to prioritize by impact.

What You Get

Comprehensive workflow audit across key operations
Use-case shortlist ranked by ROI, complexity, and data readiness
Cost-benefit analysis with effort estimates for each opportunity
Pilot-ready specification for the highest-value use case
Architecture outline with model and stack recommendation

Our Process

1

Review workflows, systems, tickets, SOPs, and reporting needs across your operation

2

Identify manual work, latency, and error-prone handoffs that AI can address

3

Score every use case by ROI, implementation complexity, and data readiness

4

Deliver a prioritized roadmap with architecture and model recommendations for each opportunity

Expected Outcomes

Clear, prioritized list of your highest-value automation opportunities
ROI projections for each use case before you commit any budget
Pilot-ready specification you can act on immediately
Model and architecture recommendation tailored to your stack and requirements

Ready to Get Started?

Let's discuss how AI Workflow Audit can help your team save time, reduce manual work, and improve quality.