Built for institutions navigating AI transformation
Most institutions can't answer a simple question: how ready is your workforce to execute on AI, not just adopt it? SAGE measures that gap directly, across a defined cohort of 50–100 employees, and hands leadership a clear, evidence-based baseline in weeks, not quarters.
SAGE exists because the cost of not measuring these is no longer hypothetical.
Ungoverned AI deployment is becoming a legal liability. Nigeria's National Digital Economy and E-Governance Bill will require licensing and impact assessments for high-risk AI systems. Kenya's AI Bill, 2026 goes further, requiring workforce impact assessments wherever AI affects employment.
Different mechanisms, same signal: across Africa, workforce readiness is becoming a compliance question, not just an operational one.
Highly paid staff are trapped in manual middleware, moving data between systems, reconciling outputs, and performing work that should be automated. This is operational debt: the compounding cost of people doing what infrastructure should.
Every quarter it persists, the cost compounds and the talent disengages. SAGE measures exactly where that debt sits and what it's costing.
SAGE deployed across a defined cohort (50–100 employees), risk, operations, compliance, or another function selected by the institution.
The institution's readiness and operational debt scores, measured against ARETE's live 270+ cross-sector dataset, with a full archetype breakdown specific to their workforce.
A prioritized set of recommendations for closing the readiness gap, presented as a single leadership-ready document, with remediation options rather than a single prescribed path.
Timeline
3–4 weeks from kickoff to roadmap delivery
Price
$5,000 fixed, 50–100 person cohort
Share your context and our institutional team will schedule a scoping conversation within one business day.