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Most organizations believe they have an AI problem when the real issue is their knowledge architecture. Microsoft Copilot deployments are exposing a deeper enterprise challenge: organizations cannot reliably structure, govern, connect, or retrieve the knowledge they already own. Employees still spend enormous amounts o
RAG brings books to the exam. Knowledge Engineering teaches Agents to study. Memory architecture matters more than retrieval tuning. Everyone says the Agent era is about better prompts, bigger context windows, and smarter retrieval. That is true — but it is not the bottleneck anymore. The bottleneck is memory architect
QQ Last month, my morning briefing flagged a blocker I’d completely forgotten about. A dependency buried in meeting notes from two weeks earlier was silently holding up a task in a different project. I hadn’t connected the dots. I hadn’t even re-read those notes. But the agent had — and the briefing surfaced it before
Modern marketing agencies operate in environments where speed, collaboration and consistency directly affect client outcomes. It doesn’t matter whether it’s an agency handling multiple campaigns or a digital consultancy coordinating remote specialists; success is a result of how efficiently knowledge moves across teams
Managing a hybrid team used to involve a shared calendar, a meeting link, and a single Slack notification at a time. As hybrid work has evolved, so have the expectations around how teams stay connected and work together effectively .
Workspaces: Building a Headless Company OS for API-first Processes and AI Agent Workflows Many business systems were historically built around user interfaces. CRM? UI. ERP? UI. Document management? UI. Commerce? UI. Reporting? UI. That works as long as humans manually execute every process step. But modern companies i
Most AI systems retrieve information. The next generation of enterprise AI systems will continuously evolve, expand organisational… Continue reading on Medium »
Everything you need to know about building and maintaining a knowledge base that powers your Service Agent, in one comprehensive guide.
Atlassian’s Team ’26 event highlighted how AI, agents, context, and workflows are reshaping enterprise work.
У нас было 120 процессов, 9 областей управления, более 100 авторов из 60 компаний, 3 ветки на каждый репозиторий и ещё по одной на каждую задачу, AI-агент, таск-трекер, толстый клиент редактора и три портала документации. Не то чтобы всё это нам было нужно, чтобы описать методологию управления в ИТ. Но когда однажды на
У всех компаний, куда я приходил работать и о которых слышал от своих знакомых, база знаний выглядела одинаково: сотни статей с устаревшими инструкциями, которыми никто не пользуется из-за их неактуальности и неюзабельного поиска. Настоящие ценные знания хранятся в головах, онбординг зависит от конкретных людей, а номи
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