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Exploring the intersection of artificial intelligence, executive decision-making, and the future of business intelligence.

Claude’s New Productivity Powers Challenge ChatGPT for Teams

Anthropic’s Claude just leveled up—and it’s not just another AI headline. As of September 2025, Claude can now generate and edit real files—Excel workbooks, Word docs, PowerPoints, and PDFs—on demand, all within a secure chat interface (Anthropic, 2025; Yahoo Tech, 2025). This isn’t about flashy demos—it’s about eliminating the grind of repetitive file work and giving teams a real productivity edge (Tom’s Guide, 2025). Turn Chat Into Output: Claude as a Real Work Partner Claude’s new file gen

•3 min read

AI Productivity ROI: Bridging the Gap Between Potential and Results

Why AI’s Promise Isn’t Paying Off—Yet AI is everywhere—hailed as the ultimate productivity unlock for modern teams. Boardrooms buzz with talk of generative AI, and headlines tout trillion-dollar forecasts. But behind the hype, a stubborn reality persists: most organizations aren’t seeing the ROI they expected. Despite massive investments, the productivity gains remain elusive. As economic pressures mount, leaders are asking tough questions: Are our AI tools actually moving the needle, or are w

•4 min read

Banking on AI: How BNY Mellon's Dev Team Co-Pilots Boosted Productivity

BNY Mellon, with $52 trillion under management, isn’t just keeping pace with Wall Street’s AI revolution—it’s leading it. In 2023, the bank launched Eliza, an enterprise AI platform built on GPT-4 and hosted in Azure, to weave artificial intelligence into every corner of its operations (Cloud Wars). Under CEO Robin Vince, BNY Mellon signed a multi-year partnership with OpenAI, not to replace jobs, but to supercharge efficiency and client service (TIME). Today, every one of BNY’s 50,000+ employe

•6 min read

Build or Buy? Selecting AI Productivity Tools for Teams

AI productivity tools have moved from “nice-to-have” to business-critical almost overnight. In 2024, 92% of companies reported ramping up AI adoption, with generative AI now woven into daily workflows (TechTarget). The results are hard to ignore: customer support teams boosted productivity by 14% with AI assistance (PYMNTS), and software engineers at JPMorgan Chase saw efficiency gains of up to 20% (X-Team). In controlled trials, developers using AI pair programmers completed tasks 55.8% faster

•5 min read

AT&T's AI Assistant: Transforming Employee Support at Scale

AI isn’t just a buzzword at AT&T—it’s a productivity engine. Since ChatGPT’s debut, over 80% of Fortune 500 companies have tested generative AI, and by mid-2024, 65% of U.S. business leaders reported active use (Reuters). But few have operationalized it at the scale of AT&T. Their internal AI assistant, Ask AT&T, offers a rare, practical playbook for deploying generative AI across a massive enterprise. Secure, Scalable AI: How AT&T Built for 100,000+ Employees Ask AT&T launched in 2023 as a s

•4 min read

The Reliability Gap: Why AI Productivity Tools Need Better Ops

AI productivity tools—from coding copilots to chat-based agents—are flooding enterprise workflows. Adoption is nearly universal, but operational readiness is lagging far behind. This “reliability gap” is quietly undermining the productivity gains that leaders expect from AI. Recent data and high-profile outages reveal the real costs: lost hours, eroded trust, and mounting firefighting. If you’re leading a team or driving AI adoption, it’s time to treat reliability as a first-class priority—not a

•5 min read

Morgan Stanley's ChatGPT-Powered Assistant Achieves 98% Adoption

Morgan Stanley has achieved what most enterprises only talk about: 98% adoption of its GPT-4-powered internal assistant across 16,000+ financial advisors (Klover.ai). In a sector notorious for slow tech uptake, this is a watershed moment—proof that, with the right approach, generative AI can move from novelty to mission-critical infrastructure. The financial world is taking notice. Industry leaders are calling Morgan Stanley’s rollout a “game changer” and a definitive blueprint for enterprise A

•4 min read

Prompt Engineering for Teams: Building an Internal Playbook

In today’s AI-powered workplace, prompt engineering isn’t just a technical curiosity—it’s a core competency for teams looking to unlock the full value of tools like ChatGPT. As AI adoption accelerates, the need for standardized, responsible, and effective interaction with these models is more urgent than ever. Enter the internal prompt engineering playbook: a living resource that captures best practices, mitigates risk, and empowers every operator to consistently generate high-quality AI outputs

•5 min read