AI TRAINING
Scaling AI in a 100-Person Company
Build the org design, governance, and roadmap to scale AI meaningfully across a mid-size company.
What it covers
This six-week programme equips leadership teams at 50-200 person organisations with a practical framework for scaling AI beyond isolated pilots. Participants design an AI governance model, define a realistic tool stack, and create a phased roadmap tied to business outcomes. Sessions combine expert-led workshops, peer cohort discussions, and applied working sessions on participants' own organisations.
What you'll be able to do
- Design an AI operating model (centralised, embedded, or hybrid) appropriate for a 50–200 person organisation
- Build a governance charter that assigns ownership, defines escalation paths, and mitigates regulatory risk
- Evaluate and shortlist an AI tool stack against budget, integration, and data maturity constraints
- Produce a 12-month phased AI roadmap with milestones, owners, and success metrics
- Identify and pre-empt the top five cultural and organisational pitfalls that stall AI scaling at this company size
Topics covered
- AI org design: centralised vs embedded vs hybrid models
- Governance frameworks: ownership, accountability, risk controls
- Hiring and capability building: when to recruit, upskill, or partner
- Tool stack selection and vendor evaluation at mid-market scale
- Phased AI roadmap aligned to business KPIs
- Change management and culture pitfalls at scale
- Data readiness and infrastructure prerequisites
- Budget and ROI modelling for AI initiatives
Delivery
Delivered as a six-week cohort programme, typically in a hybrid format: two live virtual workshops per week (90 minutes each) plus one optional in-person kick-off day. Participants receive a shared digital workbook, org design templates, and a vendor evaluation scorecard. Approximately 60% of time is hands-on working sessions applied to each participant's own company context. A Slack or Teams community channel supports peer learning between sessions.
What makes it work
- Executive sponsorship with a named owner accountable for the AI roadmap at board level
- Starting with two or three high-visibility use cases that deliver measurable ROI within 90 days to build internal confidence
- Establishing lightweight governance early — a simple steering committee and decision log — before scaling tooling
- Investing in cross-functional AI literacy so that non-technical managers can evaluate, challenge, and champion AI initiatives
Common mistakes
- Treating AI scaling as a technology project rather than an organisational change programme, leaving HR and operations out of planning
- Hiring a Head of AI before establishing governance and a clear mandate, resulting in misaligned priorities
- Adopting enterprise-grade tools designed for 1000+ person orgs, creating overhead that slows rather than accelerates progress
- Skipping data readiness assessment and discovering mid-rollout that core data is siloed, incomplete, or unstructured
When NOT to take this
This programme is not the right fit for a company that has not yet run any AI pilot — organisations with zero hands-on AI experience need a foundational literacy programme first before tackling org design and scaling strategy.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.