Evaluate data, talent, and compliance to chart a clear AI adoption roadmap.
AI can accelerate growth—or drain resources. Our assessment shows if you’re ready, what needs fixing, and how to start safely.
We look at everyday tasks and pinpoint where AI will save the most time or money first.
We check if your data is complete, tidy, and secure—so any AI model has solid fuel to run on.
Privacy and legal red flags surface early, protecting you from fines and reputation damage.
You leave with a step-by-step plan—pilot, measure, scale—complete with realistic timelines and costs.
Through a focused workshop we clarify intended AI use-cases, measurable value, and organisational appetite for change.
We catalogue data sources, quality, governance, and accessibility to determine fitness for machine-learning workloads.
Current talent, tooling, and operating processes are assessed against industry benchmarks to reveal capability gaps.
Security, privacy, and ethical safeguards are reviewed so adoption plans align with regulatory obligations and brand values.
Each dimension—data, people, process, and tech—is rated, giving you a concise snapshot of readiness.
Pilot projects, investment needs, and change-management steps are outlined to accelerate safe AI deployment.
We review data quality, infrastructure, talent, governance, and compliance to score your AI maturity and outline a phased adoption roadmap.
No, but having centralised data accelerates the engagement. If it’s missing, we’ll recommend quick wins to get you there.
Typically 2 weeks for SMBs and up to 4 weeks for enterprises with multiple data sources.
You’ll receive a maturity scorecard, gap analysis, and a clear action plan covering data, people, and tech investments.