Context Informed Information

Context Informed helps organizations put a defensible dollar figure on the things usually described only with adjectives. AI GOVERNANCE AND EXAMINATION READINESS Banks and the agencies that regulate them are being asked to govern artificial intelligence with the same rigor banking has always applied to safety, soundness, and risk management. We build that governance at a size community banks can actually carry: AI use inventories, policy and model risk documentation, third-party and vendor AI review, board-level reporting, and readiness for the examination that follows. The practice rests on more than 20 years spent on every side of the examination table — community bank Information Security Officer, Chief Internal Auditor, bank IT audit for a CPA firm, and liaison coordinating IT examinations with regulators. We know what examiners ask, in what order, and what evidence closes the question. QUANTIFIED RISK, NOT COLOR-CODED RISK A heat map tells a board a finding is red. It does not tell them what it costs or what fixing it is worth. Using the FAIR standard and probabilistic modeling, we express risk as loss exposure in dollars, so control investments can be ranked against each other and against everything else competing for capital. THE GOLDEN TRIANGLE: REVENUE FORECASTING FROM CUSTOMER PERCEPTION The same discipline runs in reverse, on the gain side. Our Unified Revenue Forecasting Framework names the perceptions a customer must hold to choose a business and advocate for it, maps historical revenue back to those perceptions, and identifies the process deliverables across the organization that actually build them. The result is a Monte Carlo forecast of referral-driven revenue and a ranked list of improvements by modeled return. Founded by Brad Agee — MBA, CISSP, Open FAIR, AAISM. Lubbock, Texas. brad@contextinformed.com | www.contextinformed.com