Implementing AI successfully doesn’t happen overnight. This guideline shows you how to achieve real results in 90 days, from first steps to delivery. It provides a clear roadmap for selecting the right processes, engaging stakeholders and setting success metrics. You’ll learn how to build momentum, validate quickly and create a strong foundation for scaling AI initiatives.
Day 0–30: Discover & Align
Identify 2–3 candidate processes (high pain, high volume, stable rules, scalable)
• Set baseline
• Align with business sponsor – Why are we automating this?
• Define success metrics (time saved, error reduction, cost avoided)
• Get a core team together (IT, end users, business sponsors)
• Define roles and responsibilities
• Quick health check: Is data available? Are systems integratable?
Output: Shortlist of processes + clear ROI hypothesis.
Day 31–60: Prototype & Validate
• Choose a limited process scope (smaller than you think)
• Choose an iterative approach
• Run a proof of value
• Validate against your own data
• Work tightly with core team
• Fail early
• Document integration needs (APIs, data pipelines, security)
Output: Validated pilot + business case with early results.
Day 61–90: Deliver & Prove
• Deploy MVP in production for 1 process
• Monitor adoption and performance against baseline
• Adjust workflows or data quality as needed
• Define roles and responsibilities for postproduction and maintenance
• Prepare board/CEO report: ROI, learnings, next 3 opportunities
Output: First real success story → foundation for scaling.
Golden Rule:
“Don’t aim for ‘AI everywhere’. Aim for one process working reliably in 90 days.”
Download the guide here.
Want more free AI resources?
Explore our AI Ideas Guide to learn how to collect, score and prioritise AI opportunities across your organisation, or download our AI Maturity Assessment Guide to evaluate your organisation’s AI readiness and plan your next steps.
You can also visit our full Free AI Tools & Templates library for all guides and templates.
