Executive Agent Leadership

Build the teamthat builds youragent workforce.

In six hands-on weeks, your team builds AI agents for real business needs. They leave with working agents, a repeatable way to build more, and the playbook to scale them safely across the organization.

The agent patterns

Learn the patterns to build any agent your organization needs.

Learn the patterns on four real builds, each one shipped for your own role. Then run them on every agent you build after.

Pattern 01

Design the agent

Practiced on

Strategic Advisor

Load the context, role, and identity that make it yours, then verify and harden what it produces.

Pattern 02

Wire it into live systems

Practiced on

Operations Agent

Connect it to real mail, chat, and calendar data safely, through to its first automated run.

Pattern 03

Prove it before it ships

Practiced on

Blueprint Agent

Start from a vetted spec, with guardrails, human checkpoints, and a golden evaluation set on day one.

Pattern 04

Run it as part of a fleet

Practiced on

Specialized Agents

Compose it with the agents around it into one orchestrated roster your team can actually operate.

Week two

Build agents to decide which agents to build next.

You do not run this in a workshop. The Strategic Advisor your team built in pattern 01 runs it.

It interviews each person across their role and the wider organization, scores every candidate it finds, and compiles the ranked build order into a document your team leads keep reusing long after the cohort ends.

The Strategic Advisor from pattern 01

The AI Opportunity Map

Skill: Use Case Discovery

FeasibilityValueInvestmentRisk
01
Build nowHigh value, high feasibility, low investment. Work starts this week.
02
Build after governanceBlocked on a policy or an approval, not on capability.
03
Learning pilotWorth proving before it is worth funding.
04
Scope and planReal value, not yet a defined build.
05
ParkedWith the reason recorded, so it can be revisited on purpose.
From pilots to enterprise scale

Build agents to build your AI operating system.

The agents your map put first still have to survive contact with the organization. These six frameworks are what your team builds around them — everything required to clear security, legal, finance, and executive review.

Phase 1 — FoundationWeeks 1 to 2
Security

Security Manifesto

The standing answer to security's first question: what agents may reach, and what they may never touch.

Knowledge

Context Curation Plan

What each agent knows, where that knowledge lives, and who keeps it current.

Phase 2 — First Real BuildWeeks 3 to 4
Readiness

Enablement Checklist

The requirements every agent must meet before it reaches production.

Governance

Governance Framework + Agent Evaluation Playbook

The policies every agent follows and the evidence required before it ships.

Phase 3 — Scale and OrchestrateWeeks 5 to 6
Operations

Agent Fleet Operations Guide

How the live fleet is monitored, owned, improved, and recovered when something fails.

Scale

Agent-Ready Organization Blueprint

The operating model, ownership structure, and 90-day plan for scaling beyond the original team.

How the six weeks work

Six weeks of building, not watching.

No lectures, no slide decks. Every phase runs the same rhythm: learn the principle, build a working agent, then turn that hands-on experience into an enterprise artifact your org keeps.

01Weeks 1 to 2
Phase 1

Foundation

Learn

Agent architecture (identity, context, memory, skills), the security landscape, and what makes a task worth handing to an agent.

Build

Your first agent, built on your own role and context, plus your first reusable skills.

Produce

Security Manifesto · Context Curation Plan · AI Opportunity Map

02Weeks 3 to 4
Phase 2

First Real Build

Learn

Connecting agents to real systems, how to judge whether an agent is good enough, and how to govern what it can touch.

Build

An operations agent wired into live mail, chat, and calendar, then hardened with golden-set tests, guardrails, and human-in-the-loop checks.

Produce

Enablement Checklist · Governance Framework · Agent Evaluation Playbook

03Weeks 5 to 6
Phase 3

Scale and Orchestrate

Learn

Auditing work across the org, prioritizing by cost and value, and designing the operating model to run a fleet.

Build

A small orchestrated roster of agents, plus the fleet retrospective that tunes them.

Produce

Fleet Operations Guide · Agent-Ready Org Blueprint · Digital Workforce Management Playbook

Use AI to build AI

Technical work,without thetechnical wall.

Before week one opens, each builder answers seven questions and the training writes their Build Guide.

It is not a chatbot we host. It is a set of instructions written for each person, installed in their own build tool, so it answers at their level, translates every example into the tool your company approved, and flags the risky step before they take it.

It is how a team of operators, not engineers, ships production agents in six weeks: every build step comes with a guide that already knows your stack.

My Build Guide

The Week 3 build wires my operations agent into our calendar. The example shows Claude Code, but our approved tool is Copilot.

Same wiring, different file. In Copilot, the connection goes in your agent's MCP configuration; I'll write the block for you. Keep it read-only for now: your Security Manifesto holds write access until Week 4's hardening.

It connected, but every calendar call comes back 401 unauthorized.

That's the credential, not your wiring. You granted access from a personal account, and your tenant blocks it. Create the credential in the admin console instead, like step 4 shows. Paste the next error here if it doesn't clear.

Ask your Build Guide anything, in any week…
Who it's for

This is a mandate, not a class.

Every company now says AI is the priority. Almost none has named the team accountable for it. This training exists for the moment you do.

1 of 5

Named Teams, Not Open Enrollment

These teams carry an org-wide mandate. Whether that's across the org, or a specific team or function, each leaves as the internal authority the rest of the company builds from.

2 of 5

Past the Demo Phase

They have used the tools. Some built a personal agent at midnight just to see if it would hold. Now they need to do it properly, at enterprise scale.

3 of 5

Senior Enough to Change the Org

AI leads, transformation leads, Heads of Innovation, VPs and Directors. Hands-on enough to build it themselves, senior enough to set the operating model.

4 of 5

Tooled Up on Day One

Every participant arrives with an approved agentic coding tool already installed. The training is tool-agnostic and procures nothing.

5 of 5

Time Carved Out, in Writing

Five to seven hours a week of async build work. Managers ring-fence it before kickoff, or completion drops. That agreement is part of the entry criteria.

Seats and pricing

Pick your seats. Register and pay online.

From a single seat to an org-wide rollout, you can register and pay online. Purchase orders and vendor procurement are supported.

1 to 3 seats
$2,500/ seat

A starter cohort for a tight core team beginning the build-out. Best when you already have an internal champion in place.

  • /Full 6-week curriculum and artifacts
  • /Cohort community and office hours
  • /Graduation Handbook and 90-day plan
Register Now
4-seat team bundle// Recommended
$7,500total

$1,875 per seat

The shape we recommend. A cross-functional 4 lets the team carry the artifacts and the operating model across functions and review each other's work in real time.

  • /Everything in the starter
  • /Built-in peer review across functions
  • /Stronger cross-cutting Org Blueprint
Register Now
5 or more seats
$2,000/ seat

$1,800 / seat at 11+

Volume pricing for a wider rollout. $2,000 per seat for 5 to 10, $1,800 per seat for 11 and up. Register and pay online, no quote needed.

  • /Per-seat tier discounts above 4 seats
  • /Optional expansion packs
  • /Org-wide rollout support
Register Now

Considering a company-wide rollout? Get in touch.

Executive Catch-Up

Building capability across the workforce, not just the core team?

The Executive Catch-Up is a hands-on training that takes people beyond the chat box and into the real AI tools, coding tools included, that change how they work. No experience required. Run it for one person or for a whole department.

Learn more
Superintelligent
Company-wide rollouts

Rolling out for your company?
Get in touch.

Rollouts at company scale unlock the administration layer including seat allocation and billing in one place, engagement analytics on participation and progress, and control over team‑wide settings.

FAQ

Got questions? Start here.

Still unsure whether it's the right fit for your team? Email us and we'll help you scope it.

+How much time do participants need to budget?
5 to 7 hours per week of async hands-on work, plus optional weekly office hours. Managers need to ring-fence the time before kickoff. A cohort that does not protect the time stalls.
+What tools and stacks does the training support?
Participants arrive with an approved agentic coding tool already installed: Cursor, Claude Code, Codex, GitHub Copilot, or Antigravity. The Week 3 connection pattern is identical whether the team runs on Microsoft Graph (Outlook, Teams) or Google (Gmail, Calendar) with Slack. We teach the architecture, not a single tool.
+How do you handle data and security?
The artifacts your team produces are real organizational documents. We work with your security team on the storage choice, and uploading sensitive documents is never required to complete the training. The training also teaches third-party MCP risk review as part of the curriculum. Read the full Information Security FAQ.
+Do we need to do anything before the training?
No prerequisites beyond the entry requirement (an approved agentic coding tool already installed). Identifying and prioritizing the opportunities your team builds against is part of the training itself, in the first two weeks.
+Will our team graduate with production agents?
No, and we are deliberate about that line. Graduation produces a small working fleet of agents on real work, vetted blueprints for your prioritized use cases, and the team capability to take those through supervised POCs. Production hardening (monitoring, ownership, scale) is downstream work the trained team owns.
+What is the difference between this and the Executive Catch-Up?
The Executive Catch-Up builds practical AI capability person by person, and it can be run for one person or across a whole workforce: four weeks turning a regular AI user into a confident, systematic operator. The Executive Agent Leadership is for the named team accountable for building the agents, the governance, and the operating model. The difference is mandate, not company size, and many organizations run both: Catch-Up for broad capability, Agent Leadership for the core transformation team.