AI Advisor | Google AI Accelerator Alum
AI Founder | Co-Founder & CEO at Krybe


Your team's best people spend half their week on work an AI agent could do. This day takes that load off them. We open with a free discovery call to find the repetitive work weighing down each role, then spend four hands-on hours building agents that absorb it across the team. We start with one heavy, recurring task and build an agent that handles it end to end, then connect each agent to your real tools and data through Claude and the Model Context Protocol (MCP) so it works inside the systems your team already runs on. When the busywork moves to agents, your people get their hours back for the work that actually needs them.
You will leave with working AI agents absorbing real load across several roles, the checks and prompt engineering that keep each agent dependable rather than risky, and a playbook for the next agents to build as the load shifts. The point is not fewer people. It is a small team shipping like a much bigger one, with automation carrying the repetitive weight and your experts freed for the work only they can do.
Repetitive work moves to AI agents your team built, freeing your best people and lifting output without burning anyone out.
Surface the repetitive work hiding in each person's week
Pick the tasks an agent can absorb without losing quality
Aim agents at the busywork that costs the most hours
Hand a clear, repeatable task to an agent end to end
Connect each agent to your real tools and data
Set the checks that keep an agent dependable, not risky
Working agents absorbing real load across several roles
Hours freed for the work that genuinely needs a person
A plan for the next agents to build as the load shifts
We meet the team and find the repetitive work in each role that an agent could take off their plate.
We map the repeated load across roles and pick the tasks where an agent gives back the most time.
We take one heavy, repeated task and build an agent that handles it from start to finish, live.
We connect agents to your real tools and data and add the checks that keep them dependable.
Each group ships an agent that absorbs real work in their role, then shows it to the room.
A follow-up session to tune the agents and unblock the team as it builds more and frees up more time.

AI Advisor | Educator | Google AI Accelerator Alum

AI Founder | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum
Team leads who want output up without piling more hours on their people.
Operators whose best work is buried under repetitive tasks.
Founders who want a small team shipping like a much bigger one.
Live sessions
Learn directly from Aki Wijesundara & Manu Jayawardana in a real-time, interactive format.
Free 1-hour discovery call
We find the repetitive load in each role before we decide which agents to build.
4 hours of hands-on teaching
Live agent building on your real tasks, tools, and data across roles.
Agents that absorb real work
Each group ships a working agent that takes load off a role and presents it.
An agent playbook
How each agent runs, the checks it needs, and the next agents worth building.
Follow-up office hour
We tune the agents and help the team free up more time after we leave.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
WireApps
Modern Health
MPB
Type B Digital
I sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it’s had a real impact on our productivity.

Aamir Faaiz
The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.

Kavi T.
Maven for Teams
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