Advisory
The frameworks in the books, applied inside your organization — by a practitioner with nineteen years across academia, government and industry.
AI governance committees, review boards, model accountability and responsible-AI policy — the structure that stops AI projects failing before they start.
From data ownership to operational stewardship: the roles, RACI models and escalation paths that turn data into a trusted foundation.
Predictive modeling, econometrics and BI delivery that answers executive questions — with the financial case articulated in the CFO's language.
Choosing and combining the right frameworks — COSO, COBIT, ISO 31000, NIST CSF, FAIR — into one coherent map instead of two hundred islands.
Vendor tiering, due diligence, fourth-party discovery, contractual risk transfer and concentration risk across a shared vendor ecosystem.
Risk lifecycle design across identification, assessment, treatment and monitoring — with appetite statements the board can actually use.
Privacy programmes and information security governance mapped to the regulatory obligations that actually apply to you.
Internal and IT audit preparation from a CISA/CRISC practitioner — evidence, control testing and remediation planning.
Cloud security control frameworks and secure software development governance embedded into delivery, not bolted on afterwards.
Workshops and training for boards, data teams and risk functions through the Ravens AI Academy programme.
01
A focused assessment of where governance, data or risk practice currently stands.
02
A prioritised design: frameworks, roles, committees and accountability models.
03
Hands-on delivery with your teams, from policy drafting to control operation.
04
Measurement, maturity review and continuous improvement cadence.
Describe the challenge — an AI programme that needs governance, a vendor ecosystem you cannot see through, or a GRC estate that needs one map instead of many.
Email: ravenstoreglobal@gmail.com
Phone: +1 (202) 826-0284