AI strategy, governance design, readiness assessment, implementation planning, ROI analysis, vendor evaluation, and tech stack auditing — delivered through specialized AI agents.
Comprehensive AI strategy development: opportunity mapping, use case prioritization, build vs. buy analysis, and multi-year roadmap creation.
AI governance frameworks: policy drafting, risk assessment, compliance mapping, ethical guidelines, and organizational structure recommendations.
Systematic evaluation of organizational AI readiness: data maturity, infrastructure, talent, culture, and process automation potential.
Detailed implementation roadmaps: technology selection, integration architecture, team structure, milestone planning, and budget forecasting.
Quantitative ROI modeling for AI initiatives: cost-benefit analysis, payback period calculation, risk-adjusted returns, and scenario planning.
AI vendor scouting and evaluation: capability matrix, pricing comparison, integration assessment, and recommendation reports.
Each skill is a production-ready capability with its own prompt template, model tier routing, and validation logic.
YAML-defined pipelines that run on schedule or on demand, with cross-step data passing and notification delivery.
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