AI ServicesAdoption
Adoption
Planning
Knowing where AI can help is not the same as making it happen.
Engagement
Strategic & Advisory
Typical Duration
2 – 6 weeks
We turn identified AI opportunities into a practical rollout plan that accounts for real constraints: budget, team capability, infrastructure, regulatory environment, and appetite for change. Strategy without execution planning is just a wish list.
What the plan covers
Prioritisation & Sequencing
Which opportunities first, which to stage, which to set aside. Structured into three horizons: quick wins (weeks), foundation building (months), and strategic initiatives (longer-term).
Build vs. Buy Analysis
For each priority opportunity: custom solution, off-the-shelf product, or existing platform configuration? Total cost of ownership, not just licence fees.
Team & Capability Planning
What skills are needed, do they exist internally, should they be hired or engaged through a partner? Specific to prompt engineering, RAG, data engineering, ML ops.
Governance Framework
AI use policy, model inventory, review workflows, quality monitoring, incident response. Proportionate to risk, not bureaucratic gatekeeping.
Change Management
Champion programs, training sequences, feedback loops, communication plans, measurable adoption targets.
Risk Management
Accuracy, data, operational, regulatory, reputational, and vendor risk. Each with a mitigation strategy.
Deliverables
What you get
- Phased adoption roadmap with timelines, milestones, and decision gates
- Prioritised initiative list with build/buy recommendations
- Governance framework ready for implementation
- Change management plan
- Business case with ROI projections suitable for board approval
AI StrategyGovernanceChange ManagementROIRoadmapRisk Management
Have AI opportunities identified but need a plan to act on them?
Adoption planning bridges the gap between assessment findings and actual execution. If you’ve done the thinking but need the practical path, that’s where we come in.