AI Readiness Assessment
In 10 working days you’ll know which AI systems run in your company, where they break and what’s missing before production.
Count first, then build
Most companies don’t know how many AI systems they run. Not out of negligence, but because business units move faster than IT.
So the first step to a controlled AI operation is never a new system. It’s an honest inventory: which systems run, what they access, where they break.
The assessment delivers exactly that. In the end you hold a report that names every weakness, prioritizes every next step and honestly assesses what really holds.
What you get
Six results on the table after ten working days
System inventory
All AI systems in the company, including the tools business units introduced without IT sign-off.
Architecture review
Where data flows, what agents can access, where permissions are missing.
Vulnerability analysis
Missing guardrails, open tool access, unlogged decisions, uncapped costs.
Evaluation baseline
A first measurement of quality, evidence and hallucination rate on a representative system.
Prioritized roadmap
What must be fixed before production, what can wait, with effort estimates.
Management presentation
60 minutes, understandable for decision-makers, with a clear recommendation.
Ten working days to the report
Three phases, one fixed endpoint. Every phase runs toward the report.
Interviews & access
Conversations with IT, business units and data science. Access to repositories and cloud accounts.
Analysis & evaluation
Technical analysis, an evaluation run on a representative system, risk assessment.
Report & presentation
Report, prioritized roadmap, management presentation with a clear recommendation.
Makes sense if
You have at least one AI system in use or in a pilot, and want to know what stands between pilot and production.
Not yet, if
You don’t have a concrete use case yet. Then let’s talk first and see whether there is one.
Seven more building blocks to a production system
Private AI & On-Premises
Run AI inside your own building: local models, your own hardware, full data sovereignty.
Learn moreAI Security & Compliance
Hardening, ISO-oriented evidence and data protection for the AI operation.
Learn moreProduction Hardening
Make the existing pilot fit for operation: error handling, edge cases, human-in-the-loop.
Learn moreAgent Governance & Guardrails
Permissions, tool access, approval workflows and complete audit logs.
Learn moreAI Infrastructure & Deployment
Cloud, data pipelines, version control and deployment with rollback.
Learn moreEnterprise System Integration
Connect agents to ERP, CRM and legacy. With permission model and rollback.
Learn moreEvaluation & Managed Operations
Quality checks, monitoring, early warning of quality decay and incident response in day-to-day operation.
Learn moreReady to take stock?
Ten working days to the report. After that you’ll know where your AI systems stand and what’s missing before production.