Readiness Assessment
Audit data quality, workflows, and team capacity for AI adoption.
AI Readiness Check
Know what to automate, and what not to.
Assess where AI genuinely helps, what data and guardrails it needs, and where human judgement stays in the loop.
Capabilities
Adopt AI deliberately, not reflexively.
Full scope to follow — this outlines the shape of the engagement.
Use-Case Prioritization
Identify where AI reduces real work versus where it adds risk.
Governance & Guardrails
Set the policies that keep AI use safe, auditable, and trusted.