srvtech.dev service
AI Readiness Audit & Strategy
An AI audit is useful when a company wants automation but needs clarity on where to start and which projects will bring measurable impact.
The output is a practical roadmap: priority workflows, integrations, data preparation, MVP scope, launch timeline and success metrics.
Business outcomes
01
Prioritization by business impact, complexity and risk.
02
Assessment of data readiness, IT infrastructure and security constraints.
03
Automation roadmap with MVPs, integrations, timing and ROI metrics.
Use cases
01
You want to implement AI but do not know which process to automate first.
02
Manual operations are spread across spreadsheets and disconnected tools.
03
Security and technical limitations must be assessed before launch.
How we implement it
01
Interview stakeholders and map workflows, systems, data and bottlenecks.
02
Estimate automation potential, risks, cost, timeline and expected outcome.
03
Prepare a roadmap, architecture recommendations and quick MVP list.