PROTICOM · IT INTELLIGENCE
Build an AI Strategy That Actually Works
Most AI strategies fail before they start, not because of the technology, but because of the operational gap underneath it.
Start the conversation →What We Assess
The AI Readiness Framework
Infrastructure Readiness
Evaluate your compute, storage, and networking against the demands of production AI workloads.
Data Pipeline Maturity
Assess data quality, accessibility, and governance, the foundation everything else depends on.
Integration Complexity
Map the systems your AI needs to connect with and identify the highest-friction integration points.
Governance & Compliance
Review your risk posture, regulatory requirements, and existing controls against AI-specific threats.
Operational Capability
Determine if your team can sustain, retrain, and evolve AI systems once they're in production.
Strategic Alignment
Ensure AI initiatives tie directly to business outcomes, not just technical capability demonstrations.
Common Questions
AI Strategy FAQ
How long does an AI strategy assessment take?
A focused assessment typically takes 2–4 weeks. We scope tightly, you get clear findings and prioritized recommendations, not a 200-page deck.
Do we need to have AI running already?
No. We work with companies at every stage, from pre-pilot exploration to scaling existing deployments. The earlier you engage, the fewer expensive mistakes you avoid.
What do we get at the end?
A prioritized roadmap with specific infrastructure, integration, and governance recommendations. Clear next steps, estimated effort, and honest guidance on where to start.
Ready to build your AI operational layer?
Most engagements start with a scoped assessment. No long sales cycles.
Get in touch →