Writing a Proof of Concept That Actually Decides Something
Many AI proofs of concept end in a demo and a shrug. A short charter written before the build turns them into decisions.
Insight topic
Technology Strategy insights
Prioritisation, build decisions and planning for AI and automation programmes. Articles in this topic are written for leaders and practitioners who need practical, evidence-based guidance.
5 articles in Technology Strategy
A Data Readiness Checklist Before Starting an AI Project
Most AI projects that stall do so because of data. Twelve questions to answer before committing budget, and what to do when the answers are uncomfortable.
Risk Tiering: Proportionate AI Governance That Teams Will Follow
Heavy review for every AI use drives teams around governance. Tiering uses by risk lets low-risk work move quickly and focuses scrutiny where harm is possible.
Prioritising AI Use Cases: A Scoring Approach That Survives Reality
Workshops produce long lists of AI ideas. A transparent scoring model balances value, feasibility, risk and readiness so the first projects are the right ones.
Five Questions to Ask Before Any AI Project
Before choosing models or vendors, five plain questions reveal whether an AI idea is ready, what it needs and how it could go wrong.
Topic guide
Understanding technology strategy
Technology strategy connects AI and automation to business priorities. This topic covers use case prioritisation, readiness, investment sequencing and building the foundations that larger ambitions depend on.
FAQ
Key questions about technology strategy
How should AI use cases be prioritised?
By scoring value, feasibility, data readiness, risk and adoption with evidence, weighting criteria to strategy and balancing early wins with foundational work.
What belongs in an AI roadmap?
Prioritised initiatives, enabling investments in data, platforms, skills and governance, milestones, owners and measures of value.
How often should AI priorities be revisited?
Regularly, often every quarter or half-year, using evidence from delivered work and changes in technology and data readiness.
Related
Services related to technology strategy
Where these ideas are put into practice.
Next step
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