Enterprise Leader AI Accelerator

This one-day leaders program builds practical AI literacy for managers, project leaders, and business stakeholders who need to make informed decisions about AI—without diving into technical implementation. Participants learn the core concepts and current AI landscape in plain language, practice using AI to improve everyday leadership workflows (writing, planning, analysis, and decision support), and leave with concrete artifacts they can use to sponsor and scope real initiatives.

The day is structured around four 90-minute sessions that balance concise instruction with hands-on exercises. Leaders will develop a shared vocabulary (models, assistants, agents, RAG, inference), build an intuition for where AI is genuinely useful versus where it creates risk, and learn a few simple verification habits to improve output quality.

The second half of the day shifts from understanding to sponsorship: how to select AI use cases worth piloting, define success metrics, and right-size scope so teams can prove value quickly. The program closes with a lightweight governance and rollout playbook, helping leaders coordinate with technical teams and set expectations for what a reasonable pilot (and a responsible scale-up) looks like in their organization.

Human Systems for Engineering Leaders - Building your Leadership OS

The toughest problems in engineering leadership have nothing to do with the technology, and everything to do with the humans building it. The technical skills that earn an engineer the promotion can be adapted to produce great leaders, but only with the right translation layer. Without it, leaders default to instincts that work on technical systems but fail on human ones.

This workshop installs that translation layer.

Over five modules delivered in a full-day workshop, participants learn to see the human system they're already inside, recognize what their daily inputs train into it, and read the signals it sends back. From there, they assemble a Leadership OS: the integrated stack that determines how a leader shows up under pressure, and the runtime practice that keeps the defaults from taking over. The day closes with applications - the OS running against real situations every engineering leader faces: difficult conversations, deadlocked teams, feedback gone wrong, terminations, and power gradients that turn against the team.

The content draws on twenty-five years of engineering leadership from a former anthropologist, gained across startups, consultancies, and global organizations, told through first-person stories of failure modes and recoveries. Frameworks come from psychology, anthropology, systems theory, and philosophy - translated into vocabulary engineers can use.

Participants leave with diagnostic questions, pre-loaded responses, and a working operating system for leading humans the way they already lead systems: with awareness, intention, and design.

Staying Sharp in the Chaos

The scope keeps expanding. The team still needs direction. Leadership wants more output. And the AI landscape is moving faster than anyone can fully keep up with. For a lot of technical leaders, somewhere along the way the job quietly shifted from leading to just keeping up. Decisions get made from whatever state you happen to be in when the next thing lands — and it's been costing you focus, clarity, and probably sleep.

Most leadership training addresses what to do. Less often does it address the skill of staying clear-headed while you're doing it — under real pressure, in real time, with a team and boss looking to you for answers. This full-day workshop is built around that gap. You'll work through real pressure situations — the kind you actually face — and develop practical skills for staying grounded when they spike, so you can lead with steadiness instead of reaction. You'll learn as much from the honest conversations in the room as from the content itself.

You'll leave with skills you can use in those moments — the ones you already know need them. More of your best thinking available when it matters most. The kind of leader you already know you can be, more of the time. Getting more done with less of the grind that's been wearing you down

Tech Leader Toolbox

Being a tech leader means balancing vision, strategy, and innovation—yet too often, the administrative burden of the role becomes a persistent obstacle, especially for those who found themselves thrust into leadership accidentally or reluctantly. If you're a technical expert navigating the transition into leadership, it's easy to feel overwhelmed by information overload, endless meetings, follow-ups, and scattered responsibilities.

In this practical, immediately applicable full day workshop, Michael introduces the Digital Knowledge Management (DKM) Tech Leader Toolbox—a proven approach to taming the chaos and reclaiming your clarity, productivity, and sanity. Leveraging Tiago Forte's “Building a Second Brain” methodology combined with powerful tools like Logseq, you'll learn structured workflows to capture, organize, distill, and effortlessly retrieve critical information exactly when you need it.

You'll discover how to streamline meeting notes, simplify administrative tasks, track decisions and outcomes, hold your self and your team accountable, and build your personal leadership knowledge base. With these tools and techniques, you'll not only master the administrative aspects of your role but transform them into a powerful advantage. Join us and take control of your leadership journey today!

Architecting Your AI-Powered Leadership Operating System

AI agents are not just tools for the IDE; they are the new operating system for high-stakes leadership. In this session, Ken Sipe moves beyond the hype of “AI-assisted coding” to demonstrate what it actually looks like to lead and scale with a personal AI agent. From executive briefings and organizational “pulse checks” to automated travel ops and stakeholder management, Ken provides a practical framework for tech leaders to reclaim 20% of their cognitive load.

Everyone talks about AI strategy for their products. Fewer leaders show what it looks like to actually lead with one.

Ken shares his real-world deployment of a personal executive agent that bridges the gap between high-level strategy and tactical execution. This isn't a session on prompt engineering—it is a masterclass in an Tech Leader Operating Model. You will see how an incrementally built system handles morning situational awareness, privacy-safe calendar synchronization, complex travel logistics, and the automation of professional brand building while you sleep.

The Four-Stage Framework for Leaders:
Build: Curating the “Executive Context” (What your agent knows about your roadmap and team).

Trust: The Autonomy Ramp (Moving from “Assistant” to “Agent”).

Delegate: Identifying high-leverage administrative and strategic hand-offs.

Compound: Building a memory system that scales your decision-making.

Live Demonstrations of Leadership Workflows:
The Executive Brief: Beyond email triage—priority surfacing across Slack, Jira, and GitHub to identify organizational bottlenecks.

Stakeholder & Speaking Pipeline: Automating CFP tracking and abstract generation for conferences, while maintaining a consistent thought-leadership presence.

Travel & Logistics Ops: Auto-detecting conference trips, fare watching, and seamless TripIt/Expensify integration for a zero-friction travel experience.

The Privacy Bridge: Managing a personal-to-work calendar sync that protects your private life while ensuring your team has accurate OOO visibility.

Secure Vault Retrieval: Sudo-style authenticated access to sensitive documents and IDs on the fly.

The Nightly Content Forge: How the agent drafts internal memos, blog posts, or project summaries while you are offline.

Strategic Governance:
We will also tackle the critical “Leader-to-Agent” trust design: how to define “Guardrails vs. Guidance,” managing sensitive corporate data, and building a context-rich memory system that makes the agent a genuine force-multiplier for your leadership style.

Outcomes:
A Leadership Mental Model: How to deploy an agent that complements your specific technical and managerial skill set.

High-ROI Automations: A curated list of “Quick Wins” for tech leaders to implement immediately.

Governance & Control: A realistic roadmap for safety, privacy, and control in autonomous systems.

From Intermittent to Continuous: Inspiration to transition from “using AI” to “operating through AI.”