AI App & Process Audit
The core service. A structured audit that reveals what AI tools you have, where processes are breaking, and what to fix next.
What is an AI App & Process Audit?
Companies adopt AI tools rapidly. ChatGPT, Notion AI, Jasper, Midjourney, custom GPT wrappers, internal automations — within months, organizations accumulate dozens of AI apps with unclear ownership, overlapping functionality, and no central visibility.
At the same time, internal processes evolve. Teams integrate AI into workflows without documentation. Some tools get used heavily. Others sit idle. Nobody knows what's working, what's redundant, or what's creating risk.
Raventine's AI App & Process Audit maps your entire AI landscape — the tools, the workflows, the costs, the risks — and delivers a clear action plan.
Common Problems We Identify
Zombie AI apps
Subscriptions that renew monthly but haven't been used in weeks or months.
Overlapping tools
Three different AI writing tools doing the same job with no clear ownership.
Broken workflows
Processes that worked six months ago but now create bottlenecks or errors.
Unclear ROI
No visibility into whether AI tools are saving time, improving output, or just adding noise.
Security & compliance risks
Sensitive data flowing through unapproved tools with no audit trail or access control.
Process debt
AI adopted quickly without updating documentation, training, or quality standards.
How It Works
AI & Process Inventory
We map every AI tool, subscription, and automation across your organization. We also document the processes where AI is applied — content creation, customer support, internal ops, etc.
Usage & Dependency Analysis
Who actually uses each tool? How often? Which workflows depend on it? We identify what's critical, what's optional, and what's unused.
Risk, Cost & Overlap Assessment
Evaluate security risks, compliance gaps, redundant capabilities, and wasted spend. Surface patterns that create operational friction.
Executive-Ready Audit Report
Receive a prioritized action list with clear recommendations: apps to keep, fix, or remove. Process improvements mapped to impact and effort. Cost and risk overview for decision-making.
Deliverables
Prioritized action list
What to keep, what to fix, what to remove — ranked by impact and feasibility.
Apps to keep / fix / remove
Clear categorization of every AI tool with rationale and next steps.
Process improvement map
Workflow recommendations to reduce friction, improve quality, and increase efficiency.
Cost and risk overview
Financial impact of changes, security considerations, and compliance requirements.
Who It's For
Marketing agencies
Managing multiple client accounts with overlapping AI tools and unclear process standards.
Growing SMBs (10-100 employees)
Scaling operations where AI adoption happened organically without central oversight.
Ops & IT leaders
Responsible for security, compliance, and cost management across decentralized tool stacks.
Founders & executives
Looking for an objective assessment before making major decisions about AI strategy.