Skip to main content

AI Strategy Roadmap Assessment

AI Strategy Roadmap Assessment — Free Assessment

Assessment Form

Contact Name(Required)
Is there a documented pipeline of AI use cases with prioritisation criteria based on business value and feasibility?(Required)
Are AI use cases staged — from exploration through pilot to production — with defined criteria for progression?(Required)
Has a data inventory been conducted to identify what data is available for AI training and inference?(Required)
Are data quality standards defined and monitored for the datasets most critical to AI initiatives?(Required)
Is there a documented AI governance policy covering ethics, bias mitigation, and responsible AI principles?(Required)
Has the organisation assessed which AI regulations apply — EU AI Act, sector-specific rules — and built a compliance roadmap?(Required)
Are the AI talent roles required to execute the AI strategy identified and mapped to the hiring roadmap?(Required)
Is there a structured upskilling programme to build AI literacy across the organisation — not just the AI team?(Required)
Is there a roadmap for MLOps maturity — model versioning, CI/CD for models, monitoring, and retraining pipelines?(Required)
Is there a strategy for which cloud AI services to standardise on versus build in-house?(Required)
Is there a documented AI vendor strategy — which foundation model providers, AI platforms, and tools are strategic?(Required)
Is the organisation actively participating in AI ecosystems — consortia, open source communities, or academic partnerships?(Required)
Is there a dedicated budget and time allocation for AI experimentation and prototyping?(Required)
Is there a defined POC-to-production gate — criteria that determine whether an AI pilot advances to full deployment?(Required)
Has a competitive analysis been conducted to understand how peers and competitors are deploying AI?(Required)
Is there a clear hypothesis for how AI investments create sustainable competitive advantage — not just operational efficiency?(Required)
Is there a documented AI ethics framework covering fairness, transparency, accountability, and privacy?(Required)
Are AI models tested for bias before deployment and monitored for bias drift in production?(Required)
Are business value targets defined for each prioritised AI use case before development begins?(Required)
Is AI business value measured post-deployment — revenue impact, cost reduction, or productivity uplift?(Required)
Are AI-specific risks — model drift, adversarial inputs, hallucination, supply chain — identified and registered?(Required)
Do identified AI risks have documented mitigations and named owners?(Required)
Is the AI strategy formally endorsed by the full executive team — not just the CTO?(Required)
Is there board-level agreement on the AI investment quantum and multi-year funding commitment?(Required)