Practical, tailored solutions for AI adoption and success.

AI Strategy & Alignment

Develop clear organizational AI adoption plans tailored to business goals.

Establish a C-Suite AI Council and charter

Define a program of continuous learning for AI organizational development

Institute an exchange of AI best practices

Democratize AI across the organization

Standardize around a pallet of AI tools for organizational adoption

AI Data Strategy and Governance

AI Data Strategy Blueprint - Current-state assessment, target data/AI architecture, prioritized use-case portfolio

Maturity Assessment & Roadmap - Capability heatmap (governance, quality, catalog, lineage, privacy), quick wins, phased plan.

Data Governance Framework - committee charters, stewardship model, decision rights, policies/standards library.

Data Quality Management - critical data elements (CDEs), DQ rules & thresholds

Privacy, Security & Compliance for AI - data classification, retention/DSAR processes

Metadata, Catalog & Lineage - business glossary, catalog taxonomy, lineage coverage plan, stewardship workflows.

AI Model Management - Model Risk Management, Model Registry & Documentation

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Responsible AI Governance - AI policy (fairness, transparency, human-in-the-loop), model risk tiers

Project Management, Operations, ROI & Risk

Project Management Blueprint - Current-state assessment, Collaborative planning/budgeting/timelines, Execution discipline, Vendor management, Outcome accountability

AI Operations Integration Blueprint -Current-state assessment, Target AI operating stack, Best practices & knowledge exchange, Metrics, measures & benchmarks

AI Risk Management: Confidently Scale AI with Integrity and Insight - In a world racing to adopt AI, the true competitive edge isn’t speed—it’s confidence. Our AI Risk Management advisory helps organizations navigate the complex landscape of AI investments, risk, and ethics before scaling