Corporate Training

I run private cohorts and in-company programs for organizations that need agentic AI execution to become a shared muscle — not a one-off workshop that fades on Monday. Programs are grounded my AI-Assisted Multi Agent Development (AAMAD) Framework and the same delivery spine as Become an Agentic Architect: clear scope, agent roles and handoffs, human oversight, quality gates, and a path to production-grade outcomes.

I work with companies in the US and Europe that want confidential delivery (NDAs where required), rosters you control, and curriculum anchored to a real internal use case — so participants leave with artifacts your organization can reuse, not generic exercises that evaporate after the session.

• Discovery and alignment on outcomes, constraints, and success metrics (executive + technical sponsors)

• Program design mapped to your delivery reality — tools, risk posture, and compliance boundaries

• Live working sessions (cohort rhythm or intensive sprint) with accountable milestones between sessions

• Capstone or mini-capstone structure tied to a company use case (scope, architecture, and quality checkpoints)

• Office hours / working reviews for unblock-and-ship moments (not “lecture-only” cadence)

• Optional stakeholder session to align culture, expectations, and governance for agentic work

• Executive immersion (1–2 days) — fast alignment for leadership and senior ICs on the agentic operating model, decision rights, and what “good” looks like in production.

• Private cohort (multi-week) — a dedicated roster running the Become an Agentic Architect journey (or a scoped variant) on a calendar we co-design; best when you need depth, artifacts, and shared language across teams.

• Embedded academy (weekly rhythm) — a lighter cadence (for example 1–2 live sessions per week + async work) for organizations balancing delivery pressure with capability building.

• Workshop + reinforcement (4 hours + follow-ons) — start with the Agentic Architect Workshop as a shared baseline, then add private working sessions to pressure-test workflows against your environment.

• Engineering / platform / AI leadership accountable for shipping agentic workflows with quality.

• Product and business sponsors who must translate goals into agent-executable scope and governance.

• Enablement and L&D leaders commissioning internal capability programs with measurable delivery outcomes, not completion metrics alone.

Aspects to be aligned prior to kick off:

• Target cohort size and seniority mix (builders vs orchestrators vs sponsors).

• Tooling and data boundaries (what can be exercised in-session vs design-only).

• Success definition for Week 1 / mid-program / end-state (demo vs internal pilot vs production hardening).

• Commercials — fixed-fee private cohort vs time-and-materials embedded cadence (scoped after discovery).