AI TRAINING
The SME AI 90-Day Plan
Leave with a concrete week-by-week AI roadmap tailored to your 10-100 person company.
What it covers
This programme gives founders, general managers, and exec sponsors a structured 90-day framework to introduce AI without wasted spend. Participants audit their current operations, select three high-leverage pilot projects, and build a lightweight enablement plan for their team. Sessions combine guided workshops with peer discussion and hands-on planning tools so leaders leave with a real, executable roadmap — not a slide deck.
What you'll be able to do
- Conduct a structured AI readiness audit of your own business and identify the top three process bottlenecks addressable by AI
- Build a prioritised 90-day pilot plan with milestones, owners, and success metrics for each initiative
- Evaluate and shortlist AI tools against an SME budget and integration checklist
- Design a lightweight team enablement approach to reduce internal resistance and accelerate adoption
- Define a measurement framework to distinguish genuine ROI from activity theatre
Topics covered
- AI readiness audit: mapping processes, data, and team capacity
- Selecting the three highest-leverage AI pilots for your business
- Week-by-week 90-day implementation timeline
- Budget-conscious tool selection and vendor evaluation
- Team enablement: getting non-technical staff on board
- Defining KPIs and measuring pilot success
- Common failure modes and how to avoid them
- Governance basics: data privacy and responsible use for SMEs
Delivery
Delivered as a blended programme: two half-day live sessions (remote or in-person) bookending four weeks of structured async work. Each live session runs 4-5 hours and is highly interactive — roughly 60% guided exercises, 40% instruction. Participants receive planning templates, a pilot selection canvas, and a 90-day Gantt template. Remote delivery uses Zoom or Teams; in-person delivery can be arranged at the client's premises for groups of 6 or more.
What makes it work
- Designating one internal AI champion per pilot who owns outcomes and communicates progress weekly
- Starting with a process that already has digital data, so AI has something to work with from day one
- Running a short retrospective at day 30 and day 60 to catch failures early and adjust scope
- Anchoring every pilot to a metric that the finance or ops team already tracks
Common mistakes
- Selecting AI pilots based on hype rather than proximity to an existing pain point with measurable data
- Starting with too many tools at once, leading to low adoption and no clear ownership
- Skipping team enablement and creating a two-tier organisation where only the CEO uses AI
- Failing to define success metrics upfront, making it impossible to justify the investment after 90 days
When NOT to take this
This programme is not the right fit for a company that has already run AI pilots and needs deep technical implementation support — those teams need a practitioner-level engineering or MLOps track, not a strategy planning workshop.
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.