Founder @ KaaS.team, Engineering leader, Agentic AI educator

You can build an agent in an afternoon. Designing the right system is a different job. Should code decide each step, or the model? One agent or a team, and who coordinates them? What starts it, an inbox, a schedule or a person, and how long does it live? What outcome is it hired for, how will you know it delivered, and what must it never do? What will each outcome cost?
Most teams answer those questions in production, one incident at a time. In this workshop you answer them on paper first, for one real job at your company.
The worked examples are systems real companies run and have written about, such as expense approval, support resolution and multi-agent research, and the AI mission control we build in the buildcamp.
You leave with an architecture you can take to a design review: the shape, the outcome and its metric, the roles and models, the context, the approvals, the failure plan and the cost per outcome.
A one-day working session to design an agentic AI system for your own company: the right shape, the outcome it owns and its cost.
Place it on the map as a workflow, an agent or a team of agents.
Decide what starts it and how long it lives.
Decide which steps stay with people.
Write its outcome, its metric and the one thing it must never do.
Define done as the system of record agreeing, not the agent saying so.
Pick a model per role and design what each agent reads and remembers.
Scope every tool, place each human approval and plan for a run that dies halfway.
Price it per outcome before the first line of code.
Workflow, agent or team of agents: who decides the next step, what starts it, how long it lives and what each shape costs in tokens.
Write the outcome your system is hired for, the metric that proves it and the one thing it must never do.
Take apart systems companies run, such as expense approval and support resolution, and see the shape, the measure and the trade each one chose.
Decide which agent does what, choose a model per role, and design what each one reads, remembers and caches.
Choose a supervisor, handoff, orchestrator-workers or maker-checker, scope every tool and decide where a human approves.
Plan retries, idempotent writes and what happens when a run dies halfway.
Price every run, budget every agent and weigh the cost of each shape against what the outcome is worth.
Present your design and get it reviewed live.

Founder @ KaaS.team, Engineering leader, Agentic AI educator
Software engineers about to build their first agentic system at work (you learn to choose the shape and design before you build)
Tech leads and engineering leaders who review agent designs (you learn what to ask, what to reject and what each outcome costs)
Product managers scoping an agent feature (you learn which steps an agent can own, where a human approves and what it costs)
You have called a model from code, or shipped a feature with engineers who did.
A process at your company you want an agentic system to own.
This is a design session; you draw, decide and get feedback.

Live sessions
Learn directly from Paramanantham Harrison in a real-time, interactive format.
Live workshop access
Four hours with Param, designing the system for your own company.
Architecture blueprint
The map, the outcome template and the worked AI mission control design, ready to adapt.
Recorded design reviews
The walkthroughs of real enterprise systems used in the session, to keep designing after the day.
Recordings you keep
The full session, recorded.
Certificate of completion
Share what you designed with your team or on LinkedIn.
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Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedTeam discount
Learn with your teammates
Save 20%+ when 2 or more teammates enroll in the same cohort.
Save 20%+ with a teamPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
Book a private cohort$497
USD
10am–2pm EST