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AI Readiness Assessment
A deep-dive evaluation of your data, security posture, and workflows to determine exactly where AI can be applied safely and profitably — before you write code.
Last updated 2026-06
The AI Readiness Assessment evaluates your IT infrastructure, data maturity, security posture, and operational workflows to determine where AI can safely, ethically, and profitably be applied. It is the first step to adopting AI without taking on unnecessary risk, technical debt, or wasted spend.
Data auditing & mapping
- Schema evaluation — whether your SQL/NoSQL schemas are clean enough for a model to query accurately.
- Unstructured-data profiling — feasibility of parsing your document repositories (handling OCR, tables, images) for retrieval-augmented generation.
- PII/PHI identification — mapping exactly where sensitive data lives so it can be ring-fenced away from public models.
Security, compliance & governance review
- Regulatory mapping against PIPEDA and the relevant international regimes for your operations.
- Threat modelling for prompt injection and data exfiltration if an agent is given API access.
- A governance gap analysis — how much enforcement your use-cases actually need.
Workflow analysis & ROI
We observe real operations to find high-friction, repetitive, multi-step tasks, assess whether they suit conventional automation or autonomous agents, and model realistic costs (API tokens, infrastructure) against measurable savings.
The deliverable
Not a generic PDF — a technical, phased roadmap: the cloud architectures and tools required, the specific models to use, and an implementation timeline with clear budgets and ROI expectations.