Exploring the intersection of artificial intelligence, executive decision-making, and the future of business intelligence.
A CPG finance team replaced Excel-as-connective-tissue with a custom AI command center. Here's what they built in 3 sessions.
Why the hottest job in tech is nearly impossible to fill, and what to do instead
The difference between using AI tools and running your company on AI
First-person account from running Indigo's Exec AGI Bootcamp
Most AI systems ship smart and stay exactly that smart forever. They launch with a fixed knowledge base, a static set of rules, and a prayer that the training data covered enough edge cases. When the world changes, someone has to manually update the system. Usually nobody does. There's a better architecture. It's a five-stage closed loop that turns any system into one that autonomously improves its own understanding over time. We call it the virtuous cycle pattern -- and once you see it, you'l
Agents that understand your data should generate interfaces on demand, not force you into pre-built dashboards. Here's how ephemeral UI works today. The Dashboard Problem You have 14 tabs open. Three are dashboards you built last quarter. One shows metrics nobody checks anymore. Another displays a project tracker that drifted from reality two sprints ago. The third is a settings page you'll visit once a year. This is the dirty secret of internal tooling: most UI is built to last but used
A framework for connecting on-premises AI systems into secure, self-governing information networks without centralized storage. 1. The Thesis Three forces are converging to create a genuine market shift: AI makes local compute valuable again. When your machine runs autonomous AI workers that read your files, write your code, analyze your data, and learn from your patterns, the machine itself becomes the center of gravity. Your local environment is no longer a thin client calling the clou
Most enterprise AI projects fail. Not because the technology is bad — but because organizations try to squeeze infinitely diverse workflows into rigid, pre-built templates. Companies spend months contorting their processes to fit software that was designed for a generic "average user" who doesn't exist. There's a better model. And it's been running successfully for about 3.5 billion years. The Two Extremes Enterprise software sits at one end of the spectrum: rigid. Your CRM, your project
Introduction Generative AI tools like ChatGPT and Claude are transforming workplaces, but maximizing their benefits requires a new digital literacy: prompt engineering. This skill involves crafting precise instructions for AI to produce valuable and accurate outputs. Employees adept at AI tools earn, on average, 40% more than their peers, yet only 27% of companies offer AI training (Tom’s Guide). This gap presents a significant opportunity: while AI isn't replacing jobs, it rewards those who a
Mondelēz International, the global snacking powerhouse behind brands like Oreo and Cadbury, is proving that generative AI isn't just a buzzword—it's a game-changer. By implementing a tailored generative AI platform, Mondelēz has slashed marketing content production costs by 30–50% (Sunday Guardian Live). Built in collaboration with Accenture and Publicis Groupe, this tool is transforming digital ad and social content production, setting a new standard for enterprise AI with a focus on ROI and ag
Today's enterprise leaders face a critical decision: Should you adopt a ready-made AI platform like OpenAI’s ChatGPT Enterprise, or build a custom solution with open-source models? This choice significantly impacts organizational productivity, data strategy, and competitive standing. Generative AI adoption is booming, with 65% of organizations now regularly leveraging AI—twice the rate seen in 2023 (Business Today, 2025). As AI becomes integral to daily workflows, deciding between proprietary “
JPMorgan Chase, the largest U.S. bank, is at the forefront of enterprise AI adoption. By deploying a ChatGPT-style assistant throughout its workforce, the bank has improved client service and team productivity. This generative AI tool, known internally as a "virtual research analyst," serves as an on-demand knowledge companion for employees (FA-Mag). What began as a cautious experiment has morphed into one of Wall Street’s largest AI deployments, driving tangible results. From Cautious Experim
Small businesses in the UK are on the brink of a productivity revolution. Through a partnership with OpenAI, eBay has launched a £3 million initiative called AI Activate to assist up to 10,000 UK SMBs in adopting advanced AI productivity tools (TechRadar). This program offers 12 months of complimentary access to ChatGPT Enterprise, coupled with detailed training and support for crafting bespoke AI solutions (TechRadar). eBay and OpenAI want to train small businesses in getting the most out of A
A New Era in Customer Support Salesforce, a leader in CRM solutions, is setting a new benchmark in customer support through AI. In 2025, the company launched its Agentforce AI platform, automating nearly half of its service tasks and reducing its support team from 9,000 to 5,000 employees. Despite this reduction, service quality not only remained stable but, in some cases, improved (OpenTools.ai; Folio3.ai). CEO Marc Benioff calls this shift an “exciting new chapter,” highlighting AI's rapid im
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
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
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
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
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
