| name | future-vision |
| description | Use when shaping the long-term vision of Dataverse as a semantic enterprise graph, AI operating system, and enterprise memory layer moving from app-centric software to intent-centric enterprise control. Produces strategy guidance only. |
Future Vision
Purpose
Translate the PRD's long-term product vision into roadmap, architecture, and executive narrative.
Use this skill for:
- intent-centric enterprise control
- app-centric to action-centric transformation
- Dataverse as semantic enterprise graph
- Dataverse as AI operating system
- Dataverse as enterprise memory layer
- long-term roadmap framing
V1 Boundary
This skill produces future-state strategy and roadmap guidance only. It does not assert that the future-state runtime exists today.
Workflow
- Frame the current state as app-centric navigation, forms, and manual table work.
- Frame the target state as intent-centric enterprise control through natural language, orchestration, memory, and governance.
- Describe Dataverse's future role as semantic graph, action runtime substrate, and memory layer.
- Split the roadmap into credible phases: guidance plugin, action design system, connected runtime, governed execution, proactive intelligence, and marketplace ecosystem.
- Identify proof points needed before external product claims: tenant integrations, policy enforcement, audit trails, reliability, and user adoption.
Output Format
Return:
Vision statement: concise future-state description.
Transformation narrative: from app-centric to intent-centric operation.
Platform thesis: Dataverse as graph, operating system, and memory layer.
Roadmap phases: practical evolution path.
Proof points: evidence needed for credible enterprise adoption.