Webinar recording: How AI agents and workflows change project management
Discover how AI agents are transforming project management. Watch the webinar recording to see real live demos, practical workflows, and automation tricks you can start using today to supercharge your daily PM routine.
Table of contents
AI is reshaping project management
How to use AI agents and workflow automations across the project lifecycle
Smarter workflows, less admin
TL;DR
AI agents now handle project admin, reporting and task automation, so project managers can focus on leadership, strategy and results.
AI is reshaping project management
Project managers, are you wondering how AI could help—not replace—you in your role? In a recent webinar hosted by Easy8 and Easy8, our experts explored practical ways AI agents can assist in project management without taking over the human aspects that matter most: leadership, motivation, and decision-making.
Let's break this down and think of what AI agents and automated workflows do well:
- Summarising meetings and auto-attaching summaries to related tasks.
- Reporting progress and analysing dependencies.
- Drafting communication and generating reports.
- Spotting risks and suggesting mitigations.
- Serving as digital project assistants in real time.
- Creating end-of-project summaries that are generated into shareable, interactive web pages.
How to use AI agents and workflow automations across the project lifecycle
Our experts in the webinar walked through how AI can help in each project stage:
- Initiation: Let AI scan documents to identify stakeholders and needs.
- Planning: AI can auto-create project baselines from a project charter or contract.
- Execution: Use AI summaries of communication help you decide faster.
- Monitoring: AI reports save you digging through tasks and notes.
- Closing: Let AI analyse and draft a “lessons learned” summary for review.
Smarter workflows, less admin
AI is not here to take your place. It's here to give you back time to focus on what really matters. Grow your people and let AI agents do the rest!
Beyond that, teams using Easy8 can build workflows for automation with Easy8 help, e.g., from creating tasks based on chat to building final reports. And with AI agents connected to tools like Microsoft Teams, you can ask “What’s on my plate today?” and get answers pulled straight from your project data.
Anyway, I strongly encourage you to watch the webinar recording to get inspired!
Already have some AI enhancements? Take the AI adoption test to check where our organisation really is in the AI adoption and what could be necessary for harvesting the expected results.
Frequently asked questions
What is the difference between automation workflow and AI agent?
The key difference between an automation workflow and an AI agent lies in their structure and autonomy.
- Automation workflow is a structured and predefined sequence of steps designed to handle specific, usually repetitive tasks. These workflows follow explicit rules laid out by a developer: "if X happens, then do Y." Workflows are predictable, linear, and operate within fixed boundaries without deviation. They are excellent for consistent, well-mapped processes where control and reliability are priorities.
- AI agent, on the other hand, is an autonomous system that is goal-oriented and capable of making decisions independently. Instead of following a fixed sequence, AI agents analyze their environment, plan their own steps to reach goals, adapt to new information, and handle complex or unforeseen situations dynamically. They choose their own actions, can learn over time, and operate flexibly with minimal human intervention.
Who is behind Easy8 AI Agency?
Easy8 AI Agency is backed by Easy8 company, a European company with 20 years of experience in project and work management. We leverage our proven track record of serving 1,000+ clients and deep expertise in business processes, integrations, and enterprise solutions to deliver AI agent and automation consulting services.
What are n8n AI agents?
n8n AI agents are autonomous, intelligent workflows that leverage large language models (LLMs) and integrated tools to perform complex tasks without predefined, rigid rules.
They act as decision-making entities within n8n, capable of interpreting user intents, planning multi-step actions, and executing them through connected services and APIs. By embedding AI Agent nodes, n8n enables developers and non-developers alike to create adaptive systems that can, for instance, analyze data, generate content, manage appointments, and perform autonomous research.
These agents extend n8n’s traditional workflow automation by introducing reasoning engines, tool integrations, memory management, and real-time decision-making.
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