AI Business Audit

Find the first AI improvement actually worth building.

The AI Business Audit is a structured consulting engagement where RPR-DEV reviews your operations, tools, web presence, workflows, customer journey, and repetitive admin work to identify where AI can create practical value.

Includes

Business and workflow discovery

Ownership or management interviews, current process review, tool inventory, pain point mapping, and opportunity identification.

Deliverable

AI opportunity roadmap

Prioritized recommendations, quick wins, implementation options, risks, and a 30/60/90-day plan.

Web Presence

Website, landing pages, CTAs, intake flow, follow-up path, and online credibility.

Internal Tools

Dashboards, assistants, document workflows, forms, reporting, and operational automation.

Customer Journey

Lead capture, response speed, reminders, handoffs, follow-up, and service experience.

Typical audit output

How it works

What is included in an AI business audit?

The audit runs over approximately one to two weeks. It starts with a discovery call to map the business's workflows, tool stack, customer journey, and operational pain points. From there, RPR-DEV documents the current state and scores each identified AI opportunity by impact, implementation effort, cost, and risk. The deliverable is a prioritized roadmap with specific recommendations, not a generic list of AI features.

How long does an AI audit take?

Most audits take one to two weeks from discovery to roadmap. The timeline depends on how many workflows, tools, documents, forms, customer handoffs, and reporting processes need to be reviewed.

How much does an AI business audit cost?

The audit is a fixed-scope consulting engagement. Pricing is discussed on the initial call based on business size and scope. There is no obligation beyond the audit itself.

Who should get an AI business audit?

The audit is designed for small and mid-size businesses in Kansas City and remotely that are curious about AI but do not know where to start, have tried AI tools that did not stick, or want an outside assessment before committing to a larger build.

What happens after the audit?

You leave with a ranked implementation path. Some businesses start with AI phone answering, some need web design with AI built in, and others need internal workflow automation or document tools first.