A generative-AI roadmap sequences an organisation's GenAI adoption from discovery to scaled production, prioritised by business value and feasibility. This is the Generative AI Roadmap from the Stratenity Library, a governed consulting deliverable that is already built for you. It gives your team the full working method for generative AI roadmap, and it walks through everything from foundation-model strategy: build, buy, host to cost and unit economics: inference and tokens. Every asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend, so your team adapts it to a live client engagement instead of starting from a blank page.
What this asset covers
This is a preview of the full deliverable. Inside the Stratenity Library, this asset walks a consultant through the complete method, section by section, with a worked client example threaded throughout.
- GenAI Ambition and Value Thesis
- Use-Case Waves and Prioritisation
- Foundation-Model Strategy: Build, Buy, Host
- Data, RAG and Knowledge Foundation
- Guardrails, Safety and Responsible GenAI
- Reference Architecture and Platform
- Cost and Unit Economics: Inference and Tokens
- Talent, Skills and Enablement
- Change, Adoption and Ways of Working
- Governance, Controls and Model Lifecycle
- Sequenced Roadmap: Now, Next, Later
- Risks, Assumptions, Issues and Dependencies (RAID)
- Value Tracking and Benefits Realisation
Review, download, and activate in 48 hours
Stratenity Library subscribers can review this asset in full, download it, and activate it into a governed, client-ready deliverable in 48 hours rather than weeks. Each asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend.
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