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Readying Sharing Settings and AI Rules for Company-Wide AI
Execution Timeline: Q3 2026 Industry: Multifamily Property Development and Management Company Size: ~380 users Engagement: AI Governance and Roadmapping The Problem This property management company had already standardized on Claude, with about 50 staff on a company plan and a strong legal-team policy for AI-drafted documents. Enthusiasm was high, and teams were building their own…
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Putting AI to Work on a Small Firm’s Own Documents
Execution Timeline: Q3 2026 Industry: Investment Firm Company Size: ~5 employees Engagement: Forward-deployed AI Specialists The Problem This small investment firm runs on Microsoft Word, Excel, PowerPoint and email: deal trackers, diligence, and memos. The team wanted AI working on that material without the time cost of moving to a new platform or re-filing years…
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Setting a Confident AI Direction for Nonprofit Leadership
Execution Timeline: Q3 2026 Industry: Cultural and Educational NonProfit Engagement: AI Safety and Guardrails Session for Leadership The Problem Like many organizations, this nonprofit found AI arriving on its own, through individual accounts and through new features such as Copilot Chat in email. The organization cares for sensitive information, including member and donor records, youth…
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Connecting AI to Firm Data, Securely and on the Firm’s Terms
Timeline Execution: Q2 2026 Industry: Investment Management with In-House Equity Research Engagement: AI Advisory and Custom Build Work The Problem This regulated investment firm chose a deliberately careful Claude rollout. Staff use Claude chat, while desktop agent and coding tools stay off. The equity research team saw more potential, such as a morning check of…
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Getting Governance Ahead of Fast-Moving AI Adoption
Execution Timeline: Q2 2026 Industry: Pharmacy Benefits Company Size: ~140 users Engagement: AI Governance Review, AI Champions Training and Microsoft Copilot Enablement The Problem This pharmacy benefits company moved quickly on AI: dozens of staff were using Microsoft Copilot, and a survey surfaced about 60 potential use cases. With member health data part of daily…
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Turning Everyday AI Use into a Governed Advantage
Execution Timeline: Q2 2026 Industry: Mortgage Lending Size: ~50 Employees Engagement: AI Governance, Data Protection & Implementation Review The Problem This mortgage lender’s team embraced AI early, using it across 19 different tasks. The company already had a written AI policy, but no intake, approval, or exception process to put it into practice, and many…
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From Cautious to Confident: Governed AI at a Creative Agency
Execution Timeframe: Q2-Q3 2026 Industry: Creative and Experiential Marketing Size: About 100 Employees Engagement: AI Governance Review and staff AI training The Problem This creative agency took a careful approach to AI: each use required multi-level written approval, and AI output was kept out of client work. At the same time, staff saw real value…
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Audit-Committee-Ready AI Governance
Execution Timeline: Q2 2026 Industry: Investment Management Company Size: ~20 employees Engagement: AI Core with Governance and Data Protection Review The Problem Staff at this investment management organization were already finding AI useful: 14 of 20 used it for work. The board had set an early rule on AI meeting notetakers, and leadership was ready…
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Guardrails That Let a HIPAA-Regulated Team Say Yes to AI
Execution Timeline: Q3 2026 Industry: Employee Assistance Program (EAP) Provider Company Size: ~50 Employees Engagement: AI Governance, Data Protection and Implementation Review The Problem AI adoption at this EAP provider grew naturally, with most surveyed staff using tools such as Copilot, Zoom AI, and ChatGPT. Because the organization supports clients with sensitive health information, leadership…
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