10:00 AM PDT | 01:00 PM EDT
Overview:
This session provides project managers with a structured, practical approach to incorporating Claude into the recurring documentation and communication work that defines the role. Rather than a broad survey of AI capabilities, the session is organized entirely around the artifacts a project manager actually produces on a weekly or monthly basis - status reports, meeting summaries, risk registers, stakeholder updates, and project charters - and demonstrates a repeatable framework for approaching each one.
At the center of the session is a structured prompting methodology designed specifically for project management contexts. Attendees learn how to provide the right context, framing, and constraints so that Claude's output requires meaningful editing rather than a full rewrite - closing the gap between "AI produced something" and "AI produced something I can actually send to my stakeholders." This methodology is taught as a transferable skill, applicable across any project management tool or methodology an attendee's organization currently uses, whether that is a formal Agile framework, a traditional waterfall approach, or a hybrid model.
The session also addresses the judgment layer that sits above any AI-assisted workflow: knowing which project management decisions should remain entirely human-led, which can be meaningfully accelerated with AI assistance, and how to maintain accountability when AI has contributed to a document that carries a project manager's name and professional credibility. This distinction is treated as a core competency in its own right, not an afterthought - because using AI well in project management is as much about knowing its limits as it is about knowing its capabilities.
Attendees will also explore how AI-assisted documentation can improve consistency across a project's lifecycle - ensuring that a risk identified in week two is tracked with the same clarity in week twelve, and that stakeholder communications maintain a consistent tone and structure regardless of which team member is drafting them on a given week. This consistency has downstream benefits for audit trails, project handoffs, and organizational memory that extend well beyond the convenience of faster drafting.
The session closes with practical guidance on building a personal or team-level workflow - a repeatable sequence attendees can put into practice starting with their very next status report, rather than a set of disconnected tips that require significant additional effort to operationalize.
Why you should Attend:
Project managers today are being asked to do more with the same number of hours in a week - manage larger portfolios, report to more stakeholders, and absorb more organizational complexity, all while the fundamental time constraints of the role have not changed. Attending this session is not about adding one more tool to an already full plate. It is about reclaiming hours currently lost to repetitive drafting and synthesis work, so that those hours can be redirected toward the judgment-based work that actually requires a skilled project manager's attention.
There is a real cost to postponing this conversation. Organizations that build AI fluency into their project management practices are establishing a new baseline for how quickly a status report gets drafted, how consistently a risk register gets maintained, and how clearly a project update communicates to a non-technical stakeholder. Project managers who have not yet built this fluency are not simply working at their own pace - they are working against a baseline that is quietly shifting around them, one team and one organization at a time. The gap between a PM who has a structured approach to AI-assisted documentation and one who does not becomes more visible with every reporting cycle.
There is also a quieter, more personal cost worth naming directly: burnout. Much of the administrative burden that makes project management exhausting - the reformatting, the re-explaining, the repetitive status updates - is precisely the kind of work that a well-structured AI workflow can absorb. Attendees who leave this session with a working framework are not just gaining a productivity tool; they are gaining back meaningful time in their week, time that can be redirected toward strategic conversations, stakeholder relationships, or simply a more sustainable pace of work.
Finally, this session addresses a concern many project managers carry quietly: the fear of using AI incorrectly in a professional, client-facing, or leadership-facing context. Rather than leaving attendees to experiment on their own and risk an inconsistent or unpolished result in front of a stakeholder, this session provides a tested, repeatable framework - reducing the risk of a poorly-drafted AI-assisted communication reaching an audience who is paying close attention to a project manager's professionalism and judgment.
Areas Covered in the Session:
Speaker Profile