AI Readiness Audit
Before investing thousands in development, make sure your data supports it. Our audit gives you confidence and a clear roadmap.
Why is this important?
An AI readiness audit is a critical first step that separates successful projects from failed ones. Studies show that up to 60% of AI projects get stuck due to poor data quality and preparation.
An audit is not "just a consultation" — it's a risk mitigation tool. Even if the client decides not to proceed with development, they retain a valuable document about their company's technical health.
Our audit identifies whether your current technology foundation can support "agentic tools" (AI that executes transactions) or whether preparatory work is needed first.
Our Process
Phase 1: Business discovery
Management interviews and workflow mapping. Identifying 'monotonous activities' and irrational costs. Result: a list of high-value use cases.
Phase 2: Data readiness assessment
Data fragmentation analysis, quality control and accessibility assessment. A report on the need to move 'from data chaos to clarity.'
Phase 3: Technology infrastructure audit
Legacy system analysis, integration capability assessment and technical debt evaluation. Recommendations for transitioning to cloud-based architecture.
Phase 4: Security and compliance review
Compliance verification against standards (SOC 2, GDPR, ISO 27001). Security risk report and mitigation plan.
Phase 5: Action plan and ROI forecast
Step-by-step plan: data cleanup → prototype (PoC) → production-ready solution. Estimate of development costs and expected return on investment.
What do you get?
Clear picture of readiness
Whether the company is ready to move to agentic tool deployment or preparatory work is needed first.
Data mapping
A precise overview of data quality, structure and accessibility for AI.
Technical debt assessment
Recommendations for legacy system modernization and transitioning to cloud-based architecture.
ROI forecast and roadmap
A step-by-step plan with estimates of development costs and expected return on investment.
Frequently Asked Questions
My data is scattered across Excel files and various software. Can AI handle it?
This is a typical situation. Before putting agents to work, we conduct a 'Data Readiness' audit. We build data pipelines that unify fragmented sources into a coherent whole that AI can read.
How long does legacy system modernization take?
Thanks to AI-powered analysis, we can deliver an initial audit and roadmap in weeks, not months. The total project duration depends on system size, but AI accelerates the process by orders of magnitude.
How do I know if my company is ready for AI?
Our first step is a 'Readiness Audit.' We assess your data, processes and IT infrastructure and give an honest evaluation — whether to invest now or build the foundation first.
Start your AI journey
Book a free 30-minute consultation and get an initial assessment of your company's AI readiness.
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