How Nirium Built an AI-Ready Technology Team Through a Structured Corporate Upskilling Programme
Nirium needed an AI upskilling program tailored for its tech services team. Partnering with the American School of AI, Magentic AI scoped workflows and identified key tools to build a custom curriculum, giving every level of the organization a clear path to working effectively with AI.
Project Team
Technology companies face a particular tension when it comes to AI upskilling. Their teams are often technically capable but working in specialised contexts where generic AI training adds little value. What they need is a programme that goes beyond surface-level tool introductions and addresses how AI fits into real technical and project workflows.
The challenges Nirium brought to the engagement:
- Team members across different functions had uneven familiarity with AI tools, with some individuals exploring them independently and others not using them at all.
- There was no organisation-wide framework for responsible and consistent AI adoption, leading to inconsistency in how projects were approached and documented.
- Senior technical leads and managers needed a different conversation about AI than junior staff, one focused on strategic application, oversight, and team enablement rather than basic tool use.
- The rapid pace of AI tool development made it hard for the team to know which tools were worth investing time in learning.
We scoped Nirium's core workflows across technical delivery, project management, and client-facing functions. That scoping informed every curriculum decision, ensuring the training reflected how Nirium's teams actually work rather than how a generic technology company might operate.
Junior staff completed a structured self-paced course. Senior leads and managers attended live webinar sessions with the American School of AI, focused on AI strategy, team enablement, and applying AI oversight within a technical project management context.
Curriculum areas included:
- AI tools for technical documentation, code review assistance, and knowledge management
- Prompt engineering for technical and non-technical roles
- AI for project planning, sprint management, and status reporting
- Using AI to improve client communication and deliverable presentation
- Responsible AI use: governance, data handling, and tool evaluation frameworks
- AI leadership: how managers can enable team adoption and measure impact
The American School of AI defined the programme goals and milestones, with the managerial curriculum specifically designed to build AI leadership capability in people responsible for product and project delivery across technical teams.
OpenAI
GitHub ActionsThe programme was structured to move from foundational awareness at the junior level to strategic application at the senior level, creating a coherent organisational approach to AI rather than isolated individual adoption.
Key outcomes:
- A consistent AI adoption framework was established across the organisation, replacing the previous patchwork of individual tool experimentation.
- Senior technical leads gained confidence in evaluating new AI tools against real project criteria rather than reacting to every new release.
- Junior team members completed practical, role-relevant training that connected directly to their day-to-day tasks.
- Nirium now has an internal training asset that can be updated and reused as the AI tool landscape evolves.
two-track model
All organisational levels covered through this delivery model
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